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Doddala, Harish. "Cloud landscape : benefits, challenges and management strategies." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90685.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>The benefits of Cloud are quite well known and many companies are trying to harness its potential. They are doing so to increase productivity, deploy newer applications fast, reduce upfront costs and optimize resource utilization. However, some companies are still trying to realize its full potential while dealing with technical challenges such as legacy systems, complexities of integration and other operational implications. The goal of this thesis is to identify the top benefits that companies are gaining through Cloud adoption and the main challenges they are facing in light of this transition. Much has already been written and discussed about these issues in literature. This thesis attempts to seek answers by directly reaching out to top executives of companies to gain real insights and understand the management strategies and best practices that are enabling this transition. By comparing reviewed literature and information gathered through interview analyses, this thesis brings clarity to areas of overlap and the major issues in Cloud computing that were not emphasized or as clearly evident in the literature. Based on the findings, key recommendations are made to help companies effectively transition into the Cloud.<br>by Harish Doddala.<br>S.M. in Engineering and Management
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Nyberg, Jakob. "Panda Cloud System Management Stjärna Fyrkant Umeå." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105411.
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Panda Cloud Systems Management (PCSM) is a cloud-based system for monitoring, inventorying and managing computers, servers and networks. Stjarna Fyrkant started its IT-department in August 2014 where they manage for Stjarna Fyrkants computers and networks but also other companies as IT consultants. They have chosen to use PCSM to manage and to monitor these networks. The project was started because Stjarna Fyrkant wants a better insight of the system as they have gone through with the basics of it. They have chosen four areas where they wants to know more about and these are monitoring of computers and servers, SNMP for monitoring other equipment, automated processes such as updating programs and Windows automatically and for Mobile Management (MDM) to manage and monitor iPhones. To make this happen I was given login information to PCSM, two computers and an iPhone to test PCSM and its other functionalities for what Stjarna Fyrkant want to accomplish. For monitors the report will go through about which monitor that exists in the store and in PCSM and later assign these to two groups for monitoring the servers and clients. Then how to monitor other devices via SNMP and how this was applied to the devices that Stjarna Fyrkant has, such as printers. However, this didn’t work for all devices. For maintenance of computers the report analyzes how to keep important updates for programs like Java and .NET but also for Windows. Additionally it was looked into how to remove unnecessary files found on the computers, such as the temporary files. For MDM the report looks in to which functionalities that exists and these were later tested for an iPhone. These functions worked surprisingly fast when it took only a few seconds for them to apply. There were plans to create a product sheet for companies of these features, but this was handed to someone else with more knowledge for design such towards companies.
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Liberman, García Ari. "The evolution of the Cloud : the work, progress and outlook of cloud infrastructure." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100311.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 59-61).<br>Cloud computing has enabled the deployment of systems at scale without requiring deep expertise in infrastructure management or highly specialized personnel. In just a few years, cloud computing has become one of the fastest growing technology segments in the Information Technology industry and it has transformed how applications are created and how companies they manage their growth. The cloud market has quickly become one of the most competitive industries with companies committing their efforts to the creation of cloud platforms and aggressive pricing strategies in an attempt to gain market dominance. This work shows the origins of the Infrastructure-as-a-Service industry and an analysis of the market dynamics by looking at the portfolios and strategies of the top competitors in this space. Also, this report shows what are the developments that will drive the innovation in the cloud industry years to come.<br>by Ari Liberman García.<br>S.M. in Engineering and Management
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Jaworski, P. "Cloud computing based adaptive traffic control and management." Thesis, Coventry University, 2013. http://curve.coventry.ac.uk/open/items/d63ba84e-bd0c-4e00-8242-310dbbaa3b92/1.
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Recent years have shown a growing concern over increasing traffic volume worldwide. The insufficient road capacity and the resulting congestions have become major problems in many urban areas. Congestions negatively impact the economy, the environment and the health of the population as well as the drivers satisfaction. Current solutions to this topical and timely problem rely on the exploitation of Intelligent Transportation Systems (ITS) technologies. ITS urban traffic management involves the collection and processing of a large amount of geographically distributed information to control distributed infrastructure and individual vehicles. The distributed nature of the problem prompted the development of a novel, scalable ITS-Cloud platform. The ITS-Cloud organises the processing and manages distributed data sources to provide traffic management methods with more accurate information about the state of the traffic. A new approach to service allocation, derived from the existing cloud and grid computing approaches, was created to address the unique needs of ITS traffic management. The ITS-Cloud hosts the collection of software services that form the Cloud based Traffic Management System (CTMS). CTMS combines intersection control algorithms with intersection approach advices to the vehicles and dynamic routing. The CTMS contains a novel Two-Step traffic management method that relies on the ITS-Cloud to deliver a detailed traffic simulation image and integrates an adaptive intersection control algorithm with a microscopic prediction mechanism. It is the first method able to perform simultaneous adaptive intersection control and intersection approach optimization. The Two-Step method builds on a novel pressure based adaptive intersection control algorithm as well as two new traffic prediction schemes. The developed traffic management system was evaluated using a new microscopic traffic simulation tool tightly integrated with the ITS-Cloud. The novel traffic management approaches were shown to outperform benchmark methods for a realistic range of traffic conditions and road network configurations. Unique to the work was the investigation of interactions between ITS components.
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Krikos, Alexis Christopher. "Disruptive technology business models in cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59255.
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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible shared computing solution in which third-party suppliers use virtualization technologies to create and distribute computing resources to customers on-demand, via the Internet browser. Cloud computing is steadily replacing more rigid software and services licensing models in both small/medium business (SMB) and in the enterprise. This analysis poses a twofold examination of cloud computing as a disruptive technology. First, cloud computing has replaced existing software and services licensing business models, owing to its scalability, flexibility, and utility-based pricing. Second, as cloud computing takes hold as the prominent computing services business paradigm, other disruptive forces will surface to further integrate and differentiate the cloud computing landscape. These forces include the customer-driven need to create hybrid clouds between private and public cloud domains, vendor-agnostic solutions in the cloud, along with open standards to make cloud computing ubiquitous. Three criteria are assessed in characterizing cloud computing as a disruptive technology (Christensen, 2002).1 First, cloud computing as an innovation, must enable less-skilled and/or less-wealthy individuals to receive the same utility as only the more-skilled and/or more-wealthy intermediaries could formerly attain. Second, cloud computing must target customers at the low end of a market with modest demands on performance, but with a performance trajectory capable of exceeding those demands and thus taking over markets, tier by tier. As a corollary to this second criterion, the cloud computing business model allows the disruptive innovator to achieve attractive returns at prices that are unattractive to the incumbents. Third, an ecosystem in the form of a fully integrated single entity or a set of modular entities is required to successfully support the disruptive innovation. The analysis has shown that cloud computing is replacing traditional outsourcing and premise-based data centers for software applications and services delivery. Scalability, flexibility, virtualization, and cost are essential business drivers. However, current cloud computing solutions, especially in the enterprise, lack sufficient security and customer control. This gives rise to numerous subordinate disruptive business solutions which enable the enterprise and emerging demographics to develop and deploy their applications and services in a secure, controlled, profitable, and ubiquitous environment.<br>by Alexis Krikos.<br>S.M.in System Design and Management
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Luna, Renato Mercado, Gabriel Benavente Soto, Daniel Subauste Oliden, and Alfredo Barrientos Padilla. "Bike-Sharing Management System Using IoT." Universidad Peruana de Ciencias Aplicadas (UPC), 2021. http://hdl.handle.net/10757/653779.
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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>Nowadays, due to climate change and many other facts affecting daily life a trend to use eco-friendly transportation ways has arisen, and from them the one mostly used and with the highest acceptance is biking. Therefore, several companies have emerged offering bike-sharing systems, and those systems have been greatly accepted in the different metropolises around the world. The generalization of these systems has created a new need: to manage them efficiently. Consequently, in this work, we propose a software architecture and the implementation of a bike-sharing management system using the Internet of things (IoT).<br>Revisión por pares
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Parikh, Apoorva. "Cloud security and platform thinking : an analysis of Cisco Umbrella, a cloud-delivered enterprise security." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121796.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 101-114).<br>Cisco's security business segment with over $2 billion in revenue in fiscal 2018, makes Cisco one of the largest enterprise security players in the market. It is also one of the fastest growing business segments for Cisco, with last five years' CAGR at 12%. While this growth rate is in line with the estimated CAGR for cybersecurity market growth between 2018 - 2022, another leading incumbent's growth rate shows there is an opportunity to grow even faster. What can Cisco do to accelerate its security business group's growth and, more broadly, how can Cisco maintain its leadership position in a rapidly evolving and highly fragmented cybersecurity market? The goal of this thesis is two folds: first, is to discover the emerging cybersecurity needs for enterprises under the dynamic threat landscape in mobile, cloud-era, and the resultant growth opportunities and challenges these present to Cisco's security business group. Second, is to discover the main elements of Cisco security business group's current growth strategies and to evaluate platform thinking as a potential growth strategy for Cisco's Cloud Security business. We find Cisco Umbrella, a recently launched cloud security offering exhibits potential to become a foundation for Cisco Cloud Security as an open platform ecosystem. We conclude by discussing a potential future platform direction for Cisco Umbrella and raise follow-on questions for further consideration.<br>by Apoorva Parikh.<br>S.M. in Engineering and Management<br>S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
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Ren, Haiying S. M. Massachusetts Institute of Technology. "Transition to cloud computing in healthcare information systems." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76507.
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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 60-63).<br>This thesis is a study on the adoption of cloud computing in healthcare information technology industry. It provides a guideline for people who are trying to bring cloud computing into healthcare information systems through the use of a framework of tools and processes to overcome both technical and business challenges.<br>by Haiying Ren.<br>S.M.in Engineering and Management
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Bhattacharjee, Ratnadeep. "An analysis of the cloud computing platform." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/47864.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2009.<br>Includes bibliographical references.<br>A slew of articles have been written about the fact that computing will eventually go in the direction of electricity. Just as most software users these days also own the hardware that runs the software, electricity users in the days of yore used to generate their own power. However, over time with standardization in voltage and frequency of generated power and better distribution mechanisms the generation of electricity was consolidated amongst fewer utility providers. The same is being forecast for computing infrastructure. Its is being touted that more and more users will rent computing infrastructure from a utility or "cloud" provider instead of maintaining their own hardware. This phenomenon or technology is being referred to Cloud Computing or Utility Computing. Cloud computing has been in existence in some form or the other since the beginning of computing. However, the advent of vastly improved software, hardware and communication technologies has given special meaning to the term cloud computing and opened up a world of possibilities. It is possible today to start an ecommerce or related company without investing in datacenters. This has turned out to be very beneficial to startups and smaller companies that want to test the efficacy of their idea before making any investment in expensive hardware. Corporations like Amazon, SalesForce.com, Google, IBM, Sun Microsystems, and many more are offering or planning to offer these infrastructure services in one form or another.<br>(cont.) An ecosystem has already been created and going by the investment and enthusiasm in this space the ecosystem is bound to grow. This thesis tries to define and explain the fundamentals of cloud computing. It looks at the technical aspects of this industry and the kind of applications where cloud can be used. It also looks at the economic value created by the platform, the network externalities, its effect on traditional software companies and their reaction to this technology. The thesis also tries to apply the principle of multi-homing, coring and tipping to the cloud-computing platform and explain the results. The hurdles for both users and providers of this service are also examined in this thesis.<br>by Ratnadeep Bhattacharjee.<br>S.M.
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Francis, Leonard S. M. Massachusetts Institute of Technology. "Cloud computing : implications for enterprise software vendors (ESV)." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/47862.
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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2009.<br>Includes bibliographical references (leaves 67-69).<br>'Cloud computing', is a broad concept and in general is a term used for internet-based computing resources that are in an unspecified remote location or locations and that are flexible and fungible. Clouds provide a wide range of computing capability available as a service where users are separated from the underlying technology by a set of APIs. These computing capabilities are made available by abstracting at different levels; at the hardware level, development platform or the applications level. Cloud computing is particularly helpful to application developers and IT operations because it allows them to focus on the service/application provided rather than worrying about scaling, failure, maintenance or reliability of these computing resources. By consolidating and sharing computing resources among multiple tenants thus improving utilization, cloud computing brings cost savings to end users. The higher the abstraction level, greater are the benefits resulting from better resource utilization and thus more cost savings, both for providers and end users. As computing resources become cheaper, network connectivity and bandwidth improve both in terms of availability and pricing and human resources becomes expensive, cloud computing is increasingly seen as viable replacement of enterprise owned local IT infrastructure.<br>(cont.) With the adoption of cloud computing comes a major shift in the underlying architecture of how we develop, deploy, deliver and run applications compared to existing behavior where we run applications on local computing resources and thus increasing pressure on enterprise software vendors to adopt these new business model for software development and new alternate software delivery models that are supported by and derive the benefits of cloud computing. While legacy enterprise software can simply be installed and run on instances on the cloud using cloud based infrastructure services, maximum benefits are realized by end users when these applications itself are provided as a service in the form of a platform or software. To do so, in most cases, legacy enterprise software would have to go through an architecture overhaul to be able to deliver existing functionalities as a platform or software as a service. Enterprise software vendors would also have to change their current business models where large license revenues, high maintenance cost of antiquated versions and heavily invested customers are the standard and move to pay-per-use cloud computing model. This thesis aims to study the implications of 'Cloud Computing' trends on the development, distribution, business models and the business of enterprise software vendors. This thesis tries to chart and predict the progress of trends in computing towards 'cloud computing', connect those trends to enterprise software usage changes and determine the impact on enterprise software vendors.<br>(cont.) This will help enterprise software vendors to determine what if any strategic options available will help adopt this technological innovation and conform to future enterprise software requirements based on this trend.<br>by Leonard Francis.<br>S.M.
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Dhiman, Ashok. "Analysis of on-premise to cloud computing migration strategies for enterprises." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/70796.
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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 72-73).<br>In recent years offering and maturity in Cloud Computing space has gained significant momentum. CIOs are looking at Cloud seriously because of bottom line savings and scalability advantages. According to Gartner's survey in early 2010 of 1600 CIOs around the world, Cloud computing and virtualization were on top of their list. This interest has also resulted in slew of products and services from existing IT players as well as new comers which promise to offer many solutions to pave the path towards Cloud computing adoption by enterprises. As organizations get on to the Cloud computing bandwagon they are looking at their current IT setup and looking at the best way they can take advantage of what Cloud has to offer. For a given enterprises, getting on to Cloud might be a complete new start from scratch, a limited deployment of new applications or migration of part of existing applications integrating backwards with on-premise applications. To take advantage of the Cloud, enterprise will need to define their short and long term Cloud strategy. They will need to consider factors specific to their businesses and determine their requirements, risks and benefits. Proper investigation by the enterprise will give them insight in to the benefits and specific strategy they need to follow to gain the said benefits from Cloud. This Thesis analyzes specific strategies which enterprises can adopt, both from business and technology perspective to make sure the migration and integration between on-premise and Cloud happens with minimal disruption to business and results in maximum sustainable cost benefit. It presents the current state of On-Premise IT and Cloud Computing space and then compares them to come up with enterprise specific variables based on which one can make Cloud migration decisions. Finally, Thesis presents the broad frameworks for "migration to Cloud" and confirms the same by interviewing enterprise managers involved in Cloud migration. There are various ways to slice and approach the Cloud migration - but all should take in to consideration the business processes, architecture of existing systems, architecture of available Cloud services, interoperability between on-premise and Cloud applications, maturity of Cloud and standards, short and long term cost savings, sustainability, data/security/regulation, user adoption, available Service Level Agreements (SLAs) and business criticality.<br>by Ashok Dhiman.<br>S.M.in Engineering and Management
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Singh, Angad S. M. Massachusetts Institute of Technology. "Technology software pricing in cloud computing era." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113527.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>The Software Industry has been constantly growing and setting path-breaking trends over the years. Cloud Computing is one such innovation that has brought a sea of change in the way people build and use software. Businesses are shifting their perspective from a model based on 'software ownership' to a model based on 'software as a service'. This paradigm shift in the industry has forced established software vendors to reinvent their businesses by offering products in form of services. The change in 'software ownership' dynamics also warrants a change in the pricing strategy. A popular alternative to the traditional perpetual licensing model is a subscription pricing model. This involves the consumers paying a fixed amount periodically to get the software service, instead of paying a large amount upfront to own the software. The study is designed primarily to compare the effectiveness of the subscription model over the traditional perpetual licensing model, with the help of a case study of Adobe Systems Incorporated. The company is a good choice as it switched from the perpetual licensing model to subscription model in 2012. The study concludes that, while no single model is entirely perfect on all grounds, a pricing strategy based on the subscription model could be an effective strategy for any organization to increase its revenue and maintain customer satisfaction at the same time. The strategy enables the organizations to get more revenue from their subscribers over a longer period of time. It also reduces the upfront cost paid by users, making it more affordable which would help increase the number of subscribers.<br>by Angad Singh.<br>S.M. in Engineering and Management
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Reyes, Eumir P. (Eumir Paulo Reyes Morales). "A systems thinking approach to business intelligence solutions based on cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59267.
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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 73-74).<br>Business intelligence is the set of tools, processes, practices and people that are used to take advantage of information to support decision making in the organizations. Cloud computing is a new paradigm for offering computing resources that work on demand, are scalable and are charged by the time they are used. Organizations can save large amounts of money and effort using this approach. This document identifies the main challenges companies encounter while working on business intelligence applications in the cloud, such as security, availability, performance, integration, regulatory issues, and constraints on network bandwidth. All these challenges are addressed with a systems thinking approach, and several solutions are offered that can be applied according to the organization's needs. An evaluations of the main vendors of cloud computing technology is presented, so that business intelligence developers identify the available tools and companies they can depend on to migrate or build applications in the cloud. It is demonstrated how business intelligence applications can increase their availability with a cloud computing approach, by decreasing the mean time to recovery (handled by the cloud service provider) and increasing the mean time to failure (achieved by the introduction of more redundancy on the hardware). Innovative mechanisms are discussed in order to improve cloud applications, such as private, public and hybrid clouds, column-oriented databases, in-memory databases and the Data Warehouse 2.0 architecture. Finally, it is shown how the project management for a business intelligence application can be facilitated with a cloud computing approach. Design structure matrices are dramatically simplified by avoiding unnecessary iterations while sizing, validating, and testing hardware and software resources.<br>by Eumir P. Reyes.<br>S.M.in System Design and Management
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David, Petr. "Podnikový informační systém v éře cloud computingu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-82020.
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The thesis deals with the latest trend in providing ICT service -- Cloud Computing -- and its possible application in enterprise information systems generally. The aim of the thesis is to evaluate market readiness for Cloud Computing services in order to find out to which extent it is possible to cover enterprise information system, or rather its software applications, on strategic and tactical management levels using the above-mentioned services. To achieve the aim, it is necessary to determine both the Cloud Computing services market and the enterprise information system sphere and then to decide whether Cloud Computing services are able to cover the basic needs of enterprise information systems. The evaluation of the market readiness will be executed in accordance with both the specially created methodology and the defined requirements. Thus the present market readiness rating will be possible to determine. The thesis should show to which extent it is possible to apply Cloud Computing model to the enterprise information systems issue. It will also be possible to find out the factors which support this application the most and, on the other hand, which factors limit this application the most. The thesis will also show which fields are advanced enough, which services we can consider and what we can expect of these services.
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DeMatos, Ricardo (Ricardo L. ). "Safety and feasibility of a cloud-based architecture for multi-vehicle system." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/113510.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 97-101).<br>Cloud computing is widely adopted in industry sectors of finance, energy and transportation. Public cloud service providers are able to consistently deliver solutions that meet demanding needs of security, availability, scalability of mission-critical applications. The low cost of compute and storage, combined with expanding coverage of high speed cellular networks, have enabled a wide expansion of telemetry services and consumer applications in automobiles, but safety applications are not leveraging these benefits. The majority of traffic fatalities happens in high-speed multi-vehicle crashes. Causal analysis of multi-vehicle crashes reveal process model inconsistencies that lead the drivers to make wrong assumptions about vehicle capabilities and lead-vehicle separation distances during adverse road conditions. The Spot Weather Impact Warning (SWIW) is a connected vehicle application concept proposed by the US Department of Transportation (DOT) that alerts drivers to unsafe conditions at specific points on the downstream roadway as a result of weather-related impacts. The application is designed to warn drivers about inclement weather conditions that may impact travel conditions using real-time weather information that is collected from roadway infrastructure and vehicle based probe data. The information is processed to determine the nature of the alert or warning to be delivered and then communicated to connected vehicles. The effectiveness of SWIW connected vehicle application depends on the probe coverage and the speed that probe data can be collected, analyzed, and broadcasted to relevant vehicles and roadway signage. To reach a sufficient coverage without high investment in new infrastructure, SWIW applications can be architected to use existing mobile operators and cloud service providers. A deeper Systems Theoretic Process Analysis of the application reveals that varying levels of vehicle-to-cloud communication performance may lead to process model inconsistencies for drivers, resulting in unsafe control actions from driver that ignore warnings and lead to accidents. To validate the vehicle to cloud communication performance, the SWIW application prototype is built using existing cloud service and vehicle platform. The performance of the application is validated across all tier-one cloud and mobile service providers in 10,000 miles of US roadways. The test results reveal the presence of low latency corridors in the US that may support the initial deployment of low latency solution. String stability model showed that significant reduction in probability of accidents is possible even at low penetration rates of the solution. The solution's operational cost analysis also concludes that a limited deployment on commercial vehicles has the potential of saving high value corridors such as the 402-mile Wyoming I-80 corridor as much as $1.5 million per day of socio-economic losses in accidents with an operational cost of $763 per day. This thesis concludes that connected vehicle programs that are addressing multi-vehicle accidents in low latency corridors should consider commercial fleet deployments that use mobile and public cloud service providers to quickly reach minimal penetration rate and socio-economic benefits.<br>by Ricardo DeMatos.<br>S.M. in Engineering and Management
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Raina, Ravi. "A systems perspective on cybersecurity in the cloud : frameworks, metrics and migration strategy." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107602.
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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 119-124).<br>Cloud computing represents the next generation of disruptive technologies in computing. However, there are several barriers to massive adoption of cloud and among them security remains one of the principal concerns. Traditional failure analysis and prevention frameworks fall exceedingly short to address cybersecurity as is evident by every increasing cybersecurity breaches. New frameworks for cybersecurity are required which take a holistic view of the problem and a systems perspective. Migrating to cloud also represents a key decision point for CEO/CTO's today, especially from security perspective. The objective of this thesis is to illustrate the effectiveness of taking a Systems Approach to cybersecurity and provide a framework for migration to cloud with specific emphasis on critical cybersecurity issues pertaining to various cloud deployment models and delivery services. The thesis is divided into three phases. Firstly, it will aim to explore the major security threats and critical areas of focus for security in cloud. It will explore the major security frameworks, metrics and controls, especially the major ones from NIST, CIS and CSA. SLA's for different cloud service models will then be presented. A high level cloud migration framework strategy and framework, with special emphasis on cybersecurity will also be discussed. In the second phase, System- Theoretic Accident Model and Processes (STAMP) which is based on Systems Theory will be applied to Target security breach and key recommendations as well as new insights will be presented. The analysis will highlight the need for holistic approach and Systems Thinking to cybersecurity and new insights that are not produced by traditional methods will be presented. Finally, in the third phase, the cloud migration framework discussed in phase one will be applied to Target. A case will be made that in certain scenarios, moving the less critical applications to cloud and utilizing the security benefits of cloud can actually reduce the threat vectors and security exposures and bring IT systems from a higher risk state to lower risk state. The thesis integrates cybersecurity methods and frameworks as well as security metrics with the cloud migration strategy. Additionally, it also presents STAMP/CAST failure model for cybersecurity breaches and highlights the need for integrated view of safety and security and Systems Thinking in cybersecurity both in traditional systems and cloud.<br>by Ravi Raina.<br>S.M. in Engineering and Management
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de, Carvalho Tiago Filipe Rodrigues. "Integrated Approach to Dynamic and Distributed Cloud Data Center Management." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/739.
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Management solutions for current and future Infrastructure-as-a-Service (IaaS) Data Centers (DCs) face complex challenges. First, DCs are now very large infrastructures holding hundreds of thousands if not millions of servers and applications. Second, DCs are highly heterogeneous. DC infrastructures consist of servers and network devices with different capabilities from various vendors and different generations. Cloud applications are owned by different tenants and have different characteristics and requirements. Third, most DC elements are highly dynamic. Applications can change over time. During their lifetime, their logical architectures evolve and change according to workload and resource requirements. Failures and bursty resource demand can lead to unstable states affecting a large number of services. Global and centralized approaches limit scalability and are not suitable for large dynamic DC environments with multiple tenants with different application requirements. We propose a novel fully distributed and dynamic management paradigm for highly diverse and volatile DC environments. We develop LAMA, a novel framework for managing large scale cloud infrastructures based on a multi-agent system (MAS). Provider agents collaborate to advertise and manage available resources, while app agents provide integrated and customized application management. Distributing management tasks allows LAMA to scale naturally. Integrated approach improves its efficiency. The proximity to the application and knowledge of the DC environment allow agents to quickly react to changes in performance and to pre-plan for potential failures. We implement and deploy LAMA in a testbed server cluster. We demonstrate how LAMA improves scalability of management tasks such as provisioning and monitoring. We evaluate LAMA in light of state-of-the-art open source frameworks. LAMA enables customized dynamic management strategies to multi-tier applications. These strategies can be configured to respond to failures and workload changes within the limits of the desired SLA for each application.
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Rostrom, Timothy James. "Framework to Secure Cloud-based Medical Image Storage and Management System Communications." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3124.
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Picture Archiving and Communication Systems (PACS) have been traditionally constrained to the premises of the healthcare provider. This has limited the availability of these systems in many parts of the world and mandated major costs in infrastructure for those who employ them. Public cloud services could be a solution that eases the cost of ownership and provides greater flexibility for PACS implementations. This could make it possible to bring medical imaging services to places where it was previously unavailable and reduce the costs associated with these services for those who utilize them. Moving these systems to public cloud infrastructure requires that an authentication and encryption policy for communications is established within the PACS environment to mitigate the risks incurred by using the Internet for the communication of medical data. This thesis proposes a framework which can be used to create an authenticated and encrypted channel to secure the communications with a cloud-based PACS. This framework uses the Transport Layer Security (TLS) protocol and X.509 certificates to create a secured channel. An enterprise style PKI is used to provide a trust model to authorize endpoints to access the system. The validity of this framework was tested by creating a prototype cloud-based PACS with secured communications. Using this framework will provide a system based on trusted industry standards which will protect the confidentiality and integrity of medical data in transit when using a cloud-based PACS service.
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Wang, Chen. "QoE Based Management and Control for Large-Scale VoD System in the Cloud." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1018.
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The Cloud infrastructure has become an ideal platform for large-scale applications, such as Video-on-Demand (VoD). As VoD systems migrate to the Cloud, new challenges emerge. The complexity of the Cloud system due to virtualization and resource sharing complicates the Quality of Experience (QoE) management. Operational failures in the Cloud can lead to session crashes. In addition to the Cloud, there are many other systems involved in the large-scale video streaming. These systems include the Content Delivery Networks (CDNs), multiple transit networks, access networks, and user devices. Anomalies in any of these systems can affect users’ Quality of Experience (QoE). Identifying the anomalous system that causes QoE degradation is challenging for VoD providers due to their limited visibility over these systems. We propose to apply end user QoE in the management and control of large-scale VoD systems in the Cloud. We present a QoE-based management and control systems and validate them in production Clouds. QMan, a QoE based Management system for VoD in the Cloud, controls the server selection adaptively based on user QoE. QWatch, a scalable monitoring system, detects and locates anomalies based on the end-user QoE. QRank, a scalable anomaly identification system, identifies the anomalous systems causing QoE anomalies. The proposed systems are developed and evaluated in production Clouds (Microsoft Azure, Google Cloud and Amazon Web Service). QMan provides 30% more users with QoE above the “good” Mean Opinion Score (MOS) than existing server selection systems. QMan discovers operational failures by QoE based server monitoring and prevents streaming session crashes. QWatch effectively detects and locates QoE anomalies in our extensive experiments in production Clouds. We find numerous false positives and false negatives when system metric based anomaly detection methods are used. QRank identifies anomalous systems causing 99.98% of all QoE anomalies among transit networks, access networks and user devices. Our extensive experiments in production Clouds show that transit networks are the most common bottleneck causing QoE anomalies. Cloud provider should identify bottleneck transit networks and determine appropriate peering with Internet Service Providers (ISPs) to bypass these bottlenecks.
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Wang, Chen. "QoE based Management and Control for Large-scale VoD System in the Cloud." Doctoral thesis, Research Showcase @ CMU, 2017. https://repositorio-aberto.up.pt/handle/10216/111886.
Full textAbstract:
The Cloud infrastructure has become an ideal platform for large-scale applications, such as Video-on-Demand (VoD). As VoD systems migrate to the Cloud, new challenges emerge. The complexity of the Cloud system due to virtualization and resource sharing complicates the Quality of Experience (QoE) management. Operational failures in the Cloud can lead to session crashes. In addition to the Cloud, there are many other systems involved in the large-scale video streaming. These systems include the Content Delivery Networks (CDNs), multiple transit networks, access networks, and user devices. Anomalies in any of these systems can affect users’ Quality of Experience (QoE). Identifying the anomalous system that causes QoE degradation is challenging for VoD providers due to their limited visibility over these systems. We propose to apply end user QoE in the management and control of large-scale VoD systems in the Cloud. We present a QoE-based management and control systems and validate them in production Clouds. QMan, a QoE based Management system for VoD in the Cloud, controls the server selection adaptively based on user QoE. QWatch, a scalable monitoring system, detects and locates anomalies based on the end-user QoE. QRank, a scalable anomaly identification system, identifies the anomalous systems causing QoE anomalies. The proposed systems are developed and evaluated in production Clouds (Microsoft Azure, Google Cloud and Amazon Web Service). QMan provides 30% more users with QoE above the “good” Mean Opinion Score (MOS) than existing server selection systems. QMan discovers operational failures by QoE based server monitoring and prevents streaming session crashes. QWatch effectively detects and locates QoE anomalies in our extensive experiments in production Clouds. We find numerous false positives and false negatives when system metric based anomaly detection methods are used. QRank identifies anomalous systems causing 99.98% of all QoE anomalies among transit networks, access networks and user devices. Our extensive experiments in production Clouds show that transit networks are the most common bottleneck causing QoE anomalies. Cloud provider should identify bottleneck transit networks and determine appropriate peering with Internet Service Providers (ISPs) to bypass these bottlenecks.
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Andersson, Mattias, and Christopher Ludvigsson. "Cloud Computing : Lärplattform i molnet." Thesis, Uppsala universitet, Institutionen för informatik och media, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-155080.
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Cloud computings framväxt har möjliggjort tillhandhållande av datorresurser online och erbjuder två väsentliga egenskaper, dels upplevda oändliga resurser och dels betalning per resursförbrukning. Lärplattformar används idag i stor utsträckning av de svenska universiteten och högskolorna som studieverktyg. Detta medför bättre möjligheter för distanskurser och e-inlärning. Att kombinera cloud computing med en lärplattform är idag möjligt och bör därför ge skolorna fördelar. Om lärplattformen driftas som molntjänst av extern leverantör bör också kraven se annorlunda ut. Syftet med uppsatsen är att utreda om det finns några incitament för att hyra en lärplattform som molntjänst och även att utreda om kraven ser annorlunda ut på en hyrd molntjänst. En fallstudie genomfördes på Uppsala universitet och Högskolan Dalarna, detta för att jämföra en lärplattform installerad på egen server med en lärplattform som hyrd molntjänst. Resultatet av studien bevisar att det finns fördelar med att hyra en lärplattform som molntjänst. Vad gäller kraven är det inte mycket som skiljer, ett viktigt krav när driften ligger hos en leverantör är att det finns en bra dialog och att organisationen litar på leverantören.<br>The growth of cloud computing has enabled the provision of computer resources online and offers two essential characteristics, illusion of infinite supply and pay-per-use. Learning management systems are currently used extensively by the Swedish universities as learning tools. This brings better opportunities for distance courses and e-learning. To combine cloud computing with a learning management system is now possible and should therefore give the schools benefits. If the Learning management system is hosted as a cloud service by an external provider, so should the requirements be different. The purpose of this paper is to investigate whether there are any incentives for rent a learning management system as a cloud service and also investigate if the requirements are different in a rented cloud service. A case study was conducted at Uppsala University and Dalarnas University, in order to compare a learning management system installed on their own server with a learning management system rented as a cloud service. The result of the study proves that there are advantages to rent a learning management system as a cloud services. In terms to the requirements, there are no great differences. An important requirement when the learning management system is hosted by a supplier is that there is a good dialogue and that the organization relies on the supplier.
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Khajeh-Hosseini, Ali. "Supporting system deployment decisions in public clouds." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3412.
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Decisions to deploy IT systems on public Infrastructure-as-a-Service clouds can be complicated as evaluating the benefits, risks and costs of using such clouds is not straightforward. The aim of this project was to investigate the challenges that enterprises face when making system deployment decisions in public clouds, and to develop vendor-neutral tools to inform decision makers during this process. Three tools were developed to support decision makers: 1. Cloud Suitability Checklist: a simple list of questions to provide a rapid assessment of the suitability of public IaaS clouds for a specific IT system. 2. Benefits and Risks Assessment tool: a spreadsheet that includes the general benefits and risks of using public clouds; this provides a starting point for risk assessment and helps organisations start discussions about cloud adoption. 3. Elastic Cost Modelling: a tool that enables decision makers to model their system deployment options in public clouds and forecast their costs. These three tools collectively enable decision makers to investigate the benefits, risks and costs of using public clouds, and effectively support them in making system deployment decisions. Data was collected from five case studies and hundreds of users to evaluate the effectiveness of the tools. This data showed that the cost effectiveness of using public clouds is situation dependent rather than universally less expensive than traditional forms of IT provisioning. Running systems on the cloud using a traditional 'always on' approach can be less cost effective than on-premise servers, and the elastic nature of the cloud has to be considered if costs are to be reduced. Decision makers have to model the variations in resource usage and their systems' deployment options to obtain accurate cost estimates. Performing upfront cost modelling is beneficial as there can be significant cost differences between different cloud providers, and different deployment options within a single cloud. During such modelling exercises, the variations in a system's load (over time) must be taken into account to produce more accurate cost estimates, and the notion of elasticity patterns that is presented in this thesis provides one simple way to do this.
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ÖBERG, MIKAELA. "A Study of the Implementation, Maintenance and Continual Improvement of an Information Security Management System." Thesis, KTH, Hållbarhet och industriell dynamik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199084.
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The high adoption rate of cloud computing technology is changing the strategic, operational and functional aspects of businesses. Though, as cloud computing is seeing massive global investment, the vast concentration of resources and information argues for new sources of vulnerabilities and challenges for the cloud computing adopters. Hence, the cloud computing technology is argued to see its full potential once solid information security is established. There has been a palpable development of theories, guidelines and standards of how to implement, maintain and continually improve a security information management system. The outcome has resulted in recognized standards. However, the comprehensiveness and the complexity to implement, maintain and continually improve a security information management system remain. Therefore, this study aimed to investigate how cloud computing oriented firms succeed with the realization of an information security management system. This was done by identifying frameworks and processes used by cloud computing oriented organizations.
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Chen, Yu-Kai, and 陳毓凱. "Mobile Cloud Service Management System." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/52865133172953084887.
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碩士<br>國立高雄第一科技大學<br>資訊管理研究所<br>103<br>In recent years, due to rapid development of Internet and smart phone, it makes a significant change for people’s operation model on Internet. Currently, we use mobile device connect to Internet instead of personal computer, this model make user more easily to manage these virtual machines in cloud platform. Based on the fact that almost everyone has a smartphone, in this research the main purpose is to manage the cloud virtual machines by using smart mobile device. In order to avoid the limitations from the numerous different types of mobile device, this research design the PHP web- based application for management purpose. Furthmore, for the flexibility consideration, this research develop the reservation service mode to help users to manage their virtual machine more easily, and can use different mobile devices to manage the virtual machine in the cloud, for example iOS, Android and Windows smartphone. The research result show the best of using reservation service mode might be provide flexible operation and management for cloud computing, in the future it can promote multi-development of cloud operation.
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Chen, Chih-Sheng, and 陳至盛. "An Activity Management System On Cloud." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/02913594730584117523.
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碩士<br>中原大學<br>通訊工程碩士學位學程<br>103<br>Event registration and management is a common activity in our daily life. In general, such a registration and management system is customized and designed by professionals. For general people, it is hard to design and use such a system due to its professional skill and high cost. However, nowadays everyone is easily to access many network services, for example, Google’s cloud services. Google's cloud services are simple and free, and they are easy to use in anytime and everywhere. They cover a wide range of applications, and even more, you can use Google Apps Script to write programs to expand the functions to suit your specific application. In this research, we use Google cloud services and Google Apps Script to create a cloud activity management system, which is not only easy to use, without additional costs, and furthermore, it is easy to expand its function in the future. The whole system uses Google spreadsheet as its center, users just need to fill in a list of the activity information, and the people list to invite. Then a Google form can be automatically generated and sent via Gmail or SMS message to the candidates, and the reply status will be tracked automatically. In addition, it can also automatically generate Google Calendar events for the activity, Google sites announcement of the activity, as well as a Google Doc document to summarize the activity. Through this way the average person can easily build their own event management system, not only save manpower and money, and can greatly enhance the efficiency of the process.
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Kuo, Chin-Hung, and 郭致宏. "GAE-based Cloud Data Management System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/51731572730231088159.
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碩士<br>崑山科技大學<br>電腦與通訊研究所<br>101<br>Recently, along with the prevalence of Internet, people have growing demand for information storage and accessibility for the stored data without being confined to local devices. Therefore, cloud storage has become a popular technology which can meet people's requirements. Users start to transfer data they want to save through websites to storage space provided by large enterprises such as Google, Amazon, etc. In addition to the convenience store, these enterprises also provide other services such as website hosting. Users do not need to set up their own server and worry about traffic problems or hardware maintenance. They only have to upload the written pages to the back-end servers to create their own web space. This study uses Python to write a database management system on the platform provided by Google Google App Engine (GAE). It allows users to fill out basic information, upload files, and delete data through management on websites.
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Cheung, Chen-Yong, and 張琛詠. "Management System of Tea Resume on Cloud Platform." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/41905193747524544114.
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碩士<br>朝陽科技大學<br>資訊與通訊系碩士班<br>100<br>This study proposed a production resume system for hand-shaken tea drinks. This system enables users to know the detailed information of materials tea drinks from the QRcode paster on the tea cups. The contribution of this thesis is to do the integration of MySQL and Hbase database, and link to the Android application. it’s can be more diversified in our Database information.
The camera of an intelligent device with Android system was used to capture the QRcode image to identify the identification of product and the buying time of tea drinks. The mobile phone was connected to the external database MySQL via wireless network, and the RFID of the materials in tea drinks will be inquired. Beside according to the identified QRcode of the product, the RFID(Radio Frequency IDentification) code of the materials in tea drinks will be inquired and the collected data will also be transmitted to the manufacturing time. In order to make the manufacturing process more transparent for consumer protection, this system can call out the recorded video of tea drink from the cloud video server according to the identified buying time, so that the consumers can see the video of the tea drink manufacturing process.
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Wu, Hung-I., and 吳弘一. "A Cloud-Based Location Tracking and Management System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/69661174895757906949.
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碩士<br>國立臺灣海洋大學<br>電機工程學系<br>99<br>In today’s heavily networked society, dynamic location tracking technology plays an important role in many business activities, such as taxi dispatching, bus fleet monitoring, and logistics management. Also in recent years, cloud computing has quickly become one of the most exciting technological advancements. Many PC and server based applications now have cloud based alternative. For those information services demanded by vast amount of users, “shift to the Cloud” has become a trend that is practical and hard to be ignored. Moving dynamic location tracking and management to a cloud platform is no exception and is a logical and natural technological evolution. Based on this concept, this thesis develops a cloud computing based dynamic location tracking and management system.
The cloud computing platform of our choice is the well-known Google App Engine (GAE). This system has the following basic functions: (1) Displaying on an electronic map the locations of all users who have logged in the system, (2) Sending text messages between users through the system; (3) Showing the path history of each user. System planners can quickly and easily construct a position monitoring system by using these basic functions. To access the service, users can use any smartphone or GPS-equipped mobile device to connect to the Google platform. Currently, this system supports the Android Mobile Platform only.
To demonstrate the system’s practicality, we have also developed in this thesis two example applications: a sex offender parolee monitoring system and a system which helps locating family members who occasionally wander around and get lost because of Alzheimer's disease. Both examples serve to show application developers how to quickly construct their own location tracking and monitoring services.
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Lin, Yun-Ju, and 林芸如. "Cloud Medical Care and Self-health Management System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/844pfh.
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碩士<br>國立東華大學<br>資訊工程學系<br>102<br>The aging society has become one of problems in Taiwan now. To avoid being ill in bed, we need to start from preventing it early. In this thesis the main idea is to connect with medical instruments and use them to measure daily body condition. This application can be used in hospital and in house. No matter where the patients are, they can bring their mobile phones and Bluetooth medical instruments with them to understand their body conditions. This system also connects to the hospital such that the doctor and nurse can analyze the condition of a patient right away.
The system implementation combines the medical platform, scale and smart watch. The Bluetooth and ANT technologies are applied to transport physiology information to a cloud database for further analysis. The patient can use this system even he/she is far from the hospital. Therefore, the doctor and nurse can retrieve the cloud database to check the conditions of patients. A patient can use this system to record the health and body situation.
The doctor can set the symptom for a patient and this can shorten the time to judge the sickness condition. According to the abnormal report of the system, the doctor and the family member can take care of patients in time. The system can achieve the goal of early found and early courage.
Keyword: Medical Equipment、Bluetooth、ANT、Android、Telehealth
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Tseng, Guo-Hao, and 曾國豪. "Cloud Management Technique for Automatic Tongue Diagnosis System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/k56r78.
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碩士<br>國立中山大學<br>資訊工程學系研究所<br>102<br>The diagnosis of tradictional Chinese medical methods is generally based on four standard but not validated approaches, i.e., observation, smelling/listening, inquiry, and palpation. During the process of observation, the diagnosis of the tongue is one of the crucial diagnosing steps. In clinical cases, the standards of diagnosing depend on what doctors have learned and experiences they have. The results differ because of subjective factors and different clinical experiences. In the past, Automatic Tongue Diagnosis System (ATDS) has come up with an assisting system with standardized judging procedures by scientific methods in order to help doctors diagnose in a scientific and systematic way to boost the consistency and reliability of diagnosing, as well as to help find disease and give therapy at the first moment. However, the presence of the disease in the world can not count them out. Doctors receive the knowledge of illness is limited if they are affected by area. Therefore, this study will be to conduct ATDS cloud computing on the server, And Model View Controller (MVC) as infrastructure, Web API link multiple devices with the environment, so that the system can be used on multiple platforms. Controller delivers uploaded images to Model which can save the image data in database. System Service of the system background will get images in Model to analyze periodically, and store the analyzing data to Model. Controller transmits the analyzing data of the case history from Model to View to present for doctors. Doctors can''t modify the cases to the premise, they can view multiple records at the same time, enhance their knowledge of a variety of diseases.
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Chiang, Chih-Chung, and 蔣智中. "Energy Storage System Management Based on Cloud Technology." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/34a5jj.
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碩士<br>國立臺灣科技大學<br>電機工程系<br>107<br>This thesis uses cloud computing services, front-end web services and databases as the cloud infrastructure, and plans a cloud information management system for energy storage systems with the concept of Software as a Service (SaaS). Secondly, this thesis introduces an artificial intelligence neural network technology into the cloud computing service, so that the energy storage system information can be analyzed through the neural network, and its information is presented on the front-end webpage, fully implementing a single system to meet the management of the energy storage system information. Furthermore, this thesis implements the master-slave architecture with the “Internet of Things” technology to reduce the complexity of the battery management system and communicate with the cloud at any time through internet to achieve real-time monitoring and analysis. In addition, this thesis integrates the system and verifies the results of the system through software log and data visualization. Finally, this thesis compares the prediction of the remaining capacity of battery by artificial intelligence neural network technology with now existing methods, confirming the validity of the proposed method with a lower prediction error.
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Chiang, I.-I., and 蔣怡怡. "Cloud Information Management System for Community Health Care." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/71942082432378926794.
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碩士<br>國立高雄第一科技大學<br>資訊管理系企業電子化碩士班<br>103<br>In recent years, because our society gradually becomes an aging society, the elderly home health care becomes an important issue. Furthermore, more and more people became conscious of preventive health care and health, and health care service inclines to personalize preventive health care and healthy management, therefore the health care industry becomes an important industry in the 21st century. Health care is the public''s service industry that integrates personalization with technology, including operation mode, service content and technique, high-quality service, and advanced facilities of health care. This research designs a cloud information management system for community health care, it provides to measure and collection of various healthy information. Through the network, we deliver the healthy information to the cloud platform in order to store and analysis, including weight, blood pressure, blood sugar, walking and waistline. The user can record and understand the trend of his/her own healthy information changes, and health care industry can provide good home health care for the elderly. We cooperate with Jiu Ding health Services Co., LTD to implement the system in Kaohsiung Meinong by cooperating with the local temple. In the future, because of the design of system, the hospital can use the system to provide excellent nursing intervention. Base on the cloud system characteristics of scalability, we can development the integrated system of medical care information management, and use the successful experience to the other villages, and the integrated system also have the function to strengthen the medical or health care for remote village on Taiwan.
This research expects to reach the following target:
1. Develop healthy measurement instrument and cloud health care processes.
2. Design and development cloud information management system for community health care.
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SIE, SHIH-FONG, and 謝世峰. "Health Care Management System Based on Cloud System and Android APP." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/79538141911957637838.
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碩士<br>朝陽科技大學<br>資訊工程系<br>104<br>As the rapid progress of the world, people work much harder than ever before. Neglecting healthcare, people put themselves into a potential health danger which may cause a significant attack or even death, if breaks out. Consequently, people pay more and more attention on healthcare management recently.
In this thesis, a healthcare management system is proposed where at least two features are over the current methods or systems. First, automatically record the data through wireless schemes to save time in manual key-in. Second, users are able to access the records whenever they need. The proposed healthcare management system makes the users self-inspect the health condition timely and conveniently.
The main objective of this thesis is to propose a healthcare management system to help users monitoring health conditions. To achieve the objective, the proposed system combines wireless schemes, the cloud system and Android APP to data measurement and data management. To data measurement, the medical equipments include bathroom scale, ear thermometer, electric sphygmomanometer, blood-glucose meter and pedometer. For data management, the data measured by the medical equipments are uploaded to the cloud system which the users can access and monitor the data through the Android APP. The proposed healthcare management system is designed, implemented and verified to be feasible.
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蔡耀德. "Design and Implementation of Public Cloud Network Management System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/673pj3.
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Chen, Yung-Nan, and 陳勇男. "Blood Pressure Monitoring Management Health System with Cloud Computing." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/34425781731144273439.
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碩士<br>臺北市立大學<br>資訊科學系碩士班<br>102<br>Elevated Blood pressure increases with age and grew about 40 years in men , it increased significantly after the 35 -year-old female, Hypertension is one of the most common chronic diseases in Taiwan , but in the top ten causes of death , and is directly related to high blood pressure or closely related diseases accounted for half.
Taiwan's population is aging, more and more elderly people living alone , the ratio of the total population of the elderly over 65 years, in 2012 has increased to 11% to become an aging country, pushing total 2018 this ratio will exceed 15 % by 2025 this Jiangzai ratio exceeds 20%,into the country will become a super-aged (Super-Aged),one member of the community.
Therefore this study to improve the sphygmomanometer, handwritten notes, and using a blood pressure classification compared to blood pressure, and then based on gender and age in Taiwan for a second interpretation proposed normal, high, medication or medical treatment suggestions humane police hearing, if the medication to control blood pressure measurements, and even more blood pressure measurement data need to be divided into two groups morning and afternoon, and morning and afternoon as blood pressure monitors comparison chart.
In this study, cloud platform built on the virtualization host (Virtual Machine, VM) on to perform a variety of cloud computing services, such as : blood pressure measurement receiver PC client data, analyze the mean blood pressure , raised blood pressure and a variety of alerts, and actively push broadcast notification mobile terminal ( or care about those measurements ).
In recent years, the popularity of smart phones, a case of almost everyone, many mobile applications (App) is used more and more to life. In addition to those involved know their blood pressure records, the care of his children or relatives may also be blood pressure in the system to understand their elders. Occurs when abnormal blood pressure or blood pressure measurement conditions, the cloud platform for proactive monitoring system to Short Message Service (SMS) or E-mail , etc. to inform families. Occurs when blood pressure exceeded 180/110mmHg, notify the family and the right time to take the initiative to call 119 emergency phone call for help, in order to play the efficacy of immediate relief, and bring greater medical value , is the main purpose of thesis research.
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LIU, HONG-RU, and 劉宏儒. "The Financial Management System Design Based on Cloud Network." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/90204165134629523312.
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碩士<br>明志科技大學<br>電機工程系碩士班<br>105<br>With the development of the internet, the applications of the cloud computing services gradually become popular and gradually affect the way of human living in the modern society. Because the cloud computing developed, the Big Data analysis technology is widely used. Therefore, this topic conduct a system based on the concepts of clouding data and big data, with an aim to improve the efficiencies of financial management and convenience for small and medium enterprises and stores.
Based on the idea mentioned above, a management system was designed to manage the finances of small and medium-sized enterprises and stores themselves. A case of the financial management system, managing the baby center’s finance, was designed and developed. In the system, the cloud server serves as the center for the management of each department’s financial information. And data was collected through the cloud server and therefore was analyzed and forecasted by gray system theory. Accordingly, the analysis results obtained can provide the financial advices for managers.
This study expects that the proposed financial management and predictive functions of the system can reach the needs of the enterprise and adopted by the users.
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HSU, CHUNG-MIN, and 徐忠民. "Implement the intelligent cloud-based management system of ambulance." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/44160456813587101547.
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碩士<br>南臺科技大學<br>電機工程系<br>104<br>Ambulance is the main transportation which transports patients, general equipment standards of ambulance need instruments to sustain life incidents of injury patients to a hospital emergency room for medical treatment, if the EOC can receive the signs of life in patients early with calculate the distance, time by real-time video streaming and GPS and physiological monitoring data to the hospital, than patients can receive more timely treatment.
The study is to implement a real time cloud-based management platform of ambulance with Raspberry Pi 2B which integrates 3G dongle, webcam and GPS model by using the commercial SpaceLabs bedside monitor.
The preliminary of this system applies for clinical patients who will be transfer to the other hospital. Acquiring the raw data of vital sign from SpaceLabs ultraview 90369 device, we have changed physiological
signals into specific formatted parameters transmitted in the cloud Sever database by means of the development of Raspberry Pi 2B for smart handheld device to watch. In management platform via web database, the administrator can add, delete, set permissions, query real-time information.
In images monitoring, the real time video and audio will be streaming by webcam, finally the trend of physiological parameters and the wheel path will be show on this web. With a full range of tracking, the
medical personnel can reach the most efficient health management on the first time.
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SHIH, TUNG-CHANG, and 施東錩. "A Cloud System for Personal Health and Sports Management." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/32220815893174223217.
Full textAbstract:
碩士<br>崑山科技大學<br>資訊管理研究所<br>104<br>The average life of the people has increased as medical technology is improving, However, the death rate caused by chronic diseases also increased. Improving the quality of life for the public is gaining focus in Taiwan. To improve the quality of life, exercise is one of the options for health promotion. Especially, regular exercise not only can reduce the incidence of cardiovascular disease and cancer, but also enhance the immunity. New fitness equipment research and development, health management application (App), and gym services are gaining significant momentum in development with self-health cognitive management by people. Accordingly, the present study regards exercise prescription as the core incorporating cloud service, sport equipment, mobile application, sport physiological monitoring of fitness center to develop a personalized health management on cloud platform. Moreover, it uses SVM(Support Vector Machine) to perform physiological data analysis of individual sports, for ensuring the health situation and safety of sports, and effectively support the regular exercise habits as well as the goal of health promotion.
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Sin-RuWang and 王欣如. "Cloud Architecture based Multi-Factory Machine Information Management System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/53103450601810657233.
Full textAbstract:
碩士<br>國立成功大學<br>製造資訊與系統研究所<br>102<br>A cloud-based architecture for a multi-machine factory manufacturing information management system (Multi-factory Cloud manufacture information system, m-CMIS) is proposed by this study. It contains the following developments: (1) Construction of a multi-factory hybrid cloud architecture: A private cloud provides factory to storage manufacturing information and a public cloud provides an accessible service module. (2) Developing a web and mobile interface for manufacturing information integration and providing engineers to monitor the machine process information anytime and anywhere. (3) Building a wireless network to improve machine production information via a Wi-Fi setup for machines in the factory to increase real-time performance: In the multi-factory hybrid cloud architecture, machine dealers can flexibly access the public cloud to access service modules for the purpose of developing manufacturing information management systems, or they can directly access the m-CMIS system for the purpose of providing manufacturing information in order to support the ability of manufacturers to integrate multi-factory manufacturing information and improve business service.
Based on our performance testing and evaluation of system effectiveness, the results showed that the m-CMIS can help improve information integration, information preservation, and can make real-time information feedback easier.
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許茂信. "Constructing a Management System for Thermal Management of Cloud Computing Data Center." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/97259803306637659467.
Full textAbstract:
碩士<br>國立交通大學<br>工業工程與管理學系<br>100<br>For more efficient computing and data storage, the IT industry which provide cloud computing service shoud centralize management of computing equipments. However, a high degree of centralization will enhance the thermal density inside the data center. The heat must be excluded in order to ensure the normal operation of data center. Flexible adjustment of heat dissipation according to heat change can achieve effective use of resource and energy-saving. However, it is difficult to adjust heat dissipation. Therefore, developing a intelligent cooling management system to subjectively and flexibly adjust heat dissipation according to the heat change is an effective method. Previous studies are only focused on partial or specific cooling device control. With the development of cooling technology, more cooling device should be considered. This study aims to construct a management system to effectively adjust the heat dissipation for a cloud computing data center which has a variety of cooling device. A real case from a cloud computing data center and a set of simulated case are used to demonstrate the effectiveness of the
proposed approach.
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Ho, Chun-Mun, and 何俊文. "Using BIM-based Quantity Takeoffs to assist Cloud Management System in Construction Management." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/7zx4w6.
Full textAbstract:
碩士<br>國立交通大學<br>土木工程系所<br>103<br>Construction Project Life Cycle can be divided into six (06) phases: Conceptual Planning and Feasibility Study, Schematic Design, Procurement, Construction Phase, Start-up and Implementation, Operation and Maintenance. Each phase of the Project Life Cycle includes a wide scope of works. More, the participation of different parties such as the owner, the supervisor, the main contractor, subcontractors, etc. It make the management of construction project even harder. Among the phase listed above, the management of construction phase is crucial to the success of the project. In fact, it determines whether the construction project can be completed within the budget, on schedule and according to the quality standards.
During the construction phase, Earn Value Management (EVM) is often used for cost control. Earn Value Management (EVM) is a methodology that combine scope, schedule and resource measurements to access project performance and progress. It is a commonly used method of performance measurement for projects. It used the three main parameter of EVM namely, Planned Value (PV), Earned Value (EV) and Actual Value (AV) to calculate the performance index of the construction project, helping us to understand the current construction profiles about schedule and cost. Those parameters are derived from the s-curve, construction daily report and progress payment activities.Thus, the s-curve, the construction daily report and the progress payment activities not only are the basic but important construction management items, but also a reference for construction project cost and schedule control.
This study propose the integration of Building Information Modeling (BIM) with Cloud Management System, which is applied to construction management, in order to assist in the establishment of the s-curve, the construction daily report and the progress payment activities. The integration pattern created in this study is applied to a project schedule and cost control in order to investigate its potential use and benefits. The proposed method is also applied to the EVM by considering different participants, approaches “Owner” and “Main contractor” in order to expand its range of applications. Finally, via a case study, the proposed method presents a different view of EVM for a construction project.
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Tsai, Mengju, and 蔡孟儒. "The Cloud Computing Applies To Military E-Learning Management System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/35781988155859118699.
Full textAbstract:
碩士<br>國防大學理工學院<br>資訊科學碩士班<br>99<br>This thesis aims to design a cloud storage environment for the military Learning Management System. All server nodes in our cloud environment are cooperating with one another in a decentralized approach to transmit file blocks. We propose the Dynamic Assignment Fast Replica algorithm (DAFR) to transmit content files by cutting each content file into several blocks in accordance with network transmission capacity between nodes. Thus, the DAFR algorithm can make faster these file blocks copied into all nodes in the environment.
Moreover, we design a program to simulate the file transmission. Consequently, a comparison is made between Fast Replica algorithm, proposed by J. Amugharaj, and our Dynamic Assignment Fast Replica algorithm. The demonstration shows that the file transmission with our DAFR algorithm in a cloud storage environment is faster than Fast Replica algorithm.
To verify the applicability of our algorithm when applied in an extreme low and different transmission capacity among nodes in the cloud environment, Clustered Fast Replica (CFR) is proposed, and a test has been carried out to examine the file transmission performance. The result shows that Fast Replica algorithm is not suitable for this network environment and the performance is not what we expected.
Additionally, this thesis also proposes a load balanced approach in the Learning Management System. When user obtains materials from the cloud storage environment, it can decentralize the load and then reduce the time of downloading.
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Tseng, Wen-Chang, and 曾文昌. "A Study of Energy Information Management System in Cloud Computing." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26303431252400889820.
Full textAbstract:
碩士<br>正修科技大學<br>資訊管理研究所<br>99<br>With gobal warning, government and international organizations have committed to energy saving and carbon reduction： including how to make people effective energy saving, effective to achieve the biggest effect; at the same time, must People used to power various electrical relevance are needed to be recorded at the same time.
These large data records translate data into information through the convenience of the information systems. Due to the vigorous development of Cloud Computing in recent years, one of its feature can calculate huge data quickly so we can calculate huge energy data by Cloud Computing.
This papers establish energy information system mainly based on Microsoft’s cloud computing platform (Windows Azure), users can obtain energy information via internet all over the world; energy data gathering part, we use smart meter socket to measure the actual electrical consumption, and simulate energy information comsuption according to actual energy comsuption. Finally, our purpose is that provider users assistance in using electrical appliance to archieve the energy saving.
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Cheng, Wen-Hao, and 鄭文豪. "The development of an intelligent, cloud-basedremote monitoring management system." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/56497200145327934510.
Full textAbstract:
碩士<br>國立中山大學<br>電機工程學系研究所<br>101<br>In this thesis, a data collection application based on MapReduce
programming is described. This application aims to collect tempera-
ture data stream continuously from a speci ed set of sensors. Instead
of collecting the temperature information of all the sensors by one
machine, the sensors are divided into several subsets each of which
is handled as a Map task. In each Map task, the temperature data
stream of the assigned sensors is collected continuously and stored in
a prede ned database. All the Map tasks can run simultaneously on
several machines. This method can reduce the delay time and improve
the e ciency of the data collection service, especially in the case of
having a huge number of sensors monitored remotely by a data center
through Internet. We can use the value of remote sensors to predict
the next value of remote sensors by some methods such as linear regres-
sion and K-means. And, we can use it to predict the system alarm.
Experimental results show that the proposed method is e ective in
temperature data collection,and e ective in carbon reduction.
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LI-NA, HUANG, and 黃麗娜. "A Vehicle Management System Implemented on the Cloud Computing Platform." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/r4u96q.
Full textAbstract:
碩士<br>中國科技大學<br>資訊科技應用研究所碩士在職專班<br>102<br>A Vehicle Management System Implemented on the Cloud Computing Platform
ABSTRACT
Recently, the rapid evolution of broadband wireless communications and Internet changes the patterns of daily life and communications between people. Wireless communications integrating with global positioning system (GPS) can accurately calculate user’s positioning information. Subsequently the position information can be tracked and displayed on the Google map in mobile devices, such as smart phone, tablet and laptop. Additionally, people communicate with each other via wireless, Internet or smart phone to obtain the required geo-information services, such as restaurants, aircraft or rail timetable enquiries, tour planning, emergency rescue, traffic accidents and so on. The LBS (Location-based Service) application also provides users not only with value-add services, but also creates the service provider revenue.
In this study, we implement a vehicle management system for golf carts operating in the golf course. Using intelligent handheld devices as communication and locating devices, and integrating with the GUI and the Google Map capabilities, golfers can obtain the dynamic status of the course directly from the handheld devices. Golf carts position and relevant status data can be transmitted via the wideband wireless communication network to the cloud platform and displayed on the web page for real-time fleet monitoring and management purpose. Due to the continuous developing in capabilities and applications of smart handheld devices and GAE platform, the results of this study can be easily extended to other vehicle management systems not limited to the golf carts fleet in the golf courses.
Keyword: cloud computing, vehicle management, location-based service
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Shih, Chi-Wei, and 石騏瑋. "A Cloud-based Project Management System using Lean Kanban Approach." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/03388082096209374332.
Full textAbstract:
碩士<br>東海大學<br>工業工程與經營資訊學系<br>103<br>Facing increasingly complex, the rapid changes of customer needs and the shorten R&D schedule, organization applying project management by requirements identifying, task dispatching, scheduling, executing and continue monitoring and controlling, helps organization reaching specific objectives under resource and time limit by clearly defining, dispatching, scheduling and keeping track on tasks. However, how organization can monitor a project and react on environment changes is the key to achieving goals. Lean thinking from the automobile industries using Kanban as an information delivery tools in shop floor. Through information on the Kanban clearly indicate the required production quantity and transportation quantity, not only gain the control on shop floor’s manpower and material resources, but also knowing the production status such like production target, actual quantity, defect rate and production issue, help organizations monitor and control on production activities. Therefore, organizations controls project continuously by using Kanban’s delivery function to assign project resources and task instruction, and keep monitor on project by different task status showing on Kanban, this capability makes Kanban become a successful and an emerging approach in project management. However, traditional Kanban can only be install in a fixed location, for project that have uncertain task location and have to travel around multiple location, such like expatriate maintenance technician, cleaner or sales man it’s hard to receive task instruction or report task status, the organization may not have control on project in real time. In order to gain full view and control of a project, we developing a cloud-based Kanban (dashboard) system, which is different from traditional Kanban that can only be install at fixed place or vehicle. With smart device, a cloud-based Kanban can monitor or assign task, report task progress at anytime, anywhere, making organization’s project management more flexible and agile.
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Chiang, Yen-cheng, and 江彥承. "Development of Remote Early Warning System Based on Cloud Management." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/65348550828131439583.
Full textAbstract:
碩士<br>國立勤益科技大學<br>電子工程系<br>103<br>With the rapid development of ICT, remote control and monitoring applications via Internet with cloud are getting much more attention in recent years. However, the material related to industrial application cases is still limited in the textbooks or literature. This thesis presents a case example in remote diagnosis and early warning system with database management. In this study it is focused on the operation temperature tracking from a tool machine which is assigned an ID number. The detected temperature can be sent to the VB Data Acquisition System via RS232/RS485. Then, MySQL Data Server can also receive the data simultaneously. All data can be viewed on line using PHP Dynamic Data Management System, and its past history can be tracked from the cloud database. The experimental results reveal that the proposed system is well performed in term of reliability, robustness, and friendly operation.
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CHAN, CHIEN-HSING, and 詹建興. "The Evaluating Factors of Cloud Based Hospital Management Information System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/88006658933397657593.
Full textAbstract:
碩士<br>中國文化大學<br>企業實務管理數位碩士在職專班<br>104<br>The main purpose of this study is to explore the evaluating factors cloud based hospital management information system. Research program is divided into two parts which measured with pretest and formal questionnaire. The main purpose of the pretest is to establish the impact factors expert consensus, as formal questionnaire pairwise comparison matrix. Expert interviews, professionals in the hospital information de-partment or in the medical information industry.
The results show that among the proposed three perspectives the most important one is system security perspective, followed by application perspective, and manage-ment perspective. Overall, the obtained results indicate that the 5 most critical factors are data security, backup and disaster recovery mechanism, cloud system stability, the integrity of the software functions, and matching the operational goals of hospital. For practitioners, this study identifies key factors for hospitals to make an adoption deci-sion toward cloud computing technology.
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Zheng, Feng-Qi, and 鄭峰麒. "Assessment of Hadoop Cloud Computing Efficiency and Mobile Management System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/f5gbb3.
Full textAbstract:
碩士<br>國立虎尾科技大學<br>資訊工程研究所<br>101<br>With the expansion of the internet, cloud computing has become a crucial subject in both the academia and the industry. Hadoop, an open source cloud computing platform, is one of the major topics. The Hadoop Distributed File System (HDFS) and MapReduce in Hadoop provide distributed storage and parallel computation functions, respectively. The HDFS also increases the reliability of cloud data whereas MapReduce enhances computing performance. Although the Hadoop platform lowers the threshold and difficulty of setting up a cloud computing environment, writing MapReduce programs can be difficult. The framework of MapReduce comprises two stages, Mapper and Reducer. Bulk data are divided into several smaller independent data segments, each of which is computed by a Mapper. Subsequently, the Reducer operation takes over the processing and then outputs the final results of Hadoop. The Mapper stage is essential while the Reducer stage is not; the output of the Mapper can also serve as the final output of Hadoop. In this study, we divided the framework of MapReduce into three models: one with no Reduce, another with one Reduce, and the other with multiple Reduces. The different models can be applied to meet the logic operation demands of various scenarios, and therefore, selecting a MapReduce model that is appropriate for the application scenario is crucial to set off the effectiveness and value of cloud computing. The primary contributions of this study lie in the use of actual cases to test and evaluate the three different MapReduce frameworks. Furthermore, we discovered that although the Hadoop cloud computing platform provides a web interface to display platform information, it does not support platform management with a mobile device. We employed an Android mobile device to establish a mobile Hadoop management system that enables system administrators to deal with issues in immediately.
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Jiang, Cheng-Lun, and 江呈崙. "The Power Management System of Intelligent Cloud Curriculum Schedule based on Embedded System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/an4abx.
Full textAbstract:
碩士<br>國立虎尾科技大學<br>資訊工程研究所<br>101<br>With the advancement of life technology, energy management and wireless transmission technology are still the focal development areas. However, the increasing demands of indispensable electrical energy and the limited supply of renewable energy, it is urgent to find out energy saving solutions. The purpose of this study is to design a management school cloud curriculum scheduled air conditioning power management system for upgrade power integration and energy saving.
The system architecture is based on the Android embedded system as a monitoring system core control system for the ARM Cortex A8 Series in DMA-210L platform, and a high portability and stability of Linux kernel of the Android system. The DMA-210L platform with Ethernet network and touch screen design provides the user with human-computer interaction and the platform connection is through the XMPP protocol instant messaging service with Android application framework of API layer.
The study utilizes of wireless transmission technology on ZigBee wireless sensor network and learning infrared transmission. With ZigBee’s low cost, and low power consumption characteristics, the study builds a regional-based wireless sensor networks. Through ZigBee coordinator and node design, the data of air conditioning consumption of voltage, current and apparent power are then transmitting to the Monitoring system for statistical analysis. Learning infrared is used to simulate the analog air conditioner remote control. It records and memories the data on the original air conditioner remote control button, and then system replace the remote control function by intelligently determining how to control the air conditioner.
The system builds a Monitoring System Server and designs a XMPP protocol instant messaging service on Android embedded platform for users with administrator privileges to communicate through smart phones and Monitoring System Server. In addition, the system also integrates ZigBee wireless sensor network design and learning infrared wireless transmission. Finally, the actual tested had found to prove that this study is not only able to effectively save energy, but also help reduce the pollution caused by energy consumption.