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Cieplak, Tomasz, and Piotr Muryjas. "Introduction to Basic Integration of Measurement Devices with Cloud Computing Services." Applied Mechanics and Materials 791 (September 2015): 34–41. http://dx.doi.org/10.4028/www.scientific.net/amm.791.34.
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This paper presents generic concept of using measuring devices of using cloud-based services as a basic application of the Internet of Things (IoT) model. This type of applications will become a base of future of the Web of Things paradigm. A high level of operational infrastructure is outlined and corresponding technologies are illustrated. To demonstrate the data provision, a cloud-based solution is described along with details of its design and operation. A number of technology, including communication protocols, transportation protocols and middleware are depicted as a basic introduction of implementation of future WoT solutions.
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Pastor-Vargas, Rafael, Llanos Tobarra, Antonio Robles-Gómez, Sergio Martin, Roberto Hernández, and Jesús Cano. "A WoT Platform for Supporting Full-Cycle IoT Solutions from Edge to Cloud Infrastructures: A Practical Case." Sensors 20, no. 13 (July 5, 2020): 3770. http://dx.doi.org/10.3390/s20133770.
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Internet of Things (IoT) learning involves the acquisition of transversal skills ranging from the development based on IoT devices and sensors (edge computing) to the connection of the devices themselves to management environments that allow the storage and processing (cloud computing) of data generated by sensors. The usual development cycle for IoT applications consists of the following three stages: stage 1 corresponds to the description of the devices and basic interaction with sensors. In stage 2, data acquired by the devices/sensors are employed by communication models from the origin edge to the management middleware in the cloud. Finally, stage 3 focuses on processing and presentation models. These models present the most relevant indicators for IoT devices and sensors. Students must acquire all the necessary skills and abilities to understand and develop these types of applications, so lecturers need an infrastructure to enable the learning of development of full IoT applications. A Web of Things (WoT) platform named Labs of Things at UNED (LoT@UNED) has been used for this goal. This paper shows the fundamentals and features of this infrastructure, and how the different phases of the full development cycle of solutions in IoT environments are implemented using LoT@UNED. The proposed system has been tested in several computer science subjects. Students can perform remote experimentation with a collaborative WoT learning environment in the cloud, including the possibility to analyze the generated data by IoT sensors.
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Al-Joboury, Istabraq M., and Emad H. Hemiary. "Internet of Things Architecture Based Cloud for Healthcare." Iraqi Journal of Information & Communications Technology 1, no. 1 (May 14, 2018): 18–26. http://dx.doi.org/10.31987/ijict.1.1.7.
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The Internet of Things (IoT) contains smart devices placed in different environments, connected with each other across networks and Internet. The integration between Things and Cloud Computing (CC) for monitoring and permanent storage is required for future IoT applications. Therefore, this paper proposes IoT architecture based Cloud for healthcare network when patients are remotely monitored by their family and physicians. This proposed architecture is different from the traditional IoT architecture that consists of Things, getaways, middleware, and application layers which in turn need connectivity insurance between them. The proposed architecture is designed and configured using Cisco Packet Tracer version 7.0 over two sites: Site 'A' located at smart home and site 'B' located at the smart hospital. The results show that the IoT based Cloud enhances the patient life style by using smart sensors and mobile application, as well as the physicians can remotely monitor the data in real time.
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Blair, Gordon, Douglas Schmidt, and Chantal Taconet. "Middleware for Internet distribution in the context of cloud computing and the Internet of Things." Annals of Telecommunications 71, no. 3-4 (February 26, 2016): 87–92. http://dx.doi.org/10.1007/s12243-016-0493-z.
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Touseau, Lionel, and Nicolas Sommer. "Contribution of the Web of Things and of the Opportunistic Computing to the Smart Agriculture: A Practical Experiment." Future Internet 11, no. 2 (February 1, 2019): 33. http://dx.doi.org/10.3390/fi11020033.
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With the emergence of the Internet of Things, environmental sensing has been gaining interest, promising to improve agricultural practices by facilitating decision-making based on gathered environmental data (i.e., weather forecasting, crop monitoring, and soil moisture sensing). Environmental sensing, and by extension what is referred to as precision or smart agriculture, pose new challenges, especially regarding the collection of environmental data in the presence of connectivity disruptions, their gathering, and their exploitation by end-users or by systems that must perform actions according to the values of those collected data. In this paper, we present a middleware platform for the Internet of Things that implements disruption tolerant opportunistic networking and computing techniques, and that makes it possible to expose and manage physical objects through Web-based protocols, standards and technologies, thus providing interoperability between objects and creating a Web of Things (WoT). This WoT-based opportunistic computing approach is backed up by a practical experiment whose outcomes are presented in this article.
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Bangui, Hind, Said Rakrak, Said Raghay, and Barbora Buhnova. "Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services." Applied Sciences 8, no. 11 (November 11, 2018): 2220. http://dx.doi.org/10.3390/app8112220.
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Smart cities aim at integrating various IoT (Internet of Things) technologies by providing many opportunities for the development, governance, and management of user services. One of the ways to support this idea is to use cloud and edge computing techniques to reduce costs, manage resource consumption, enhance performance, and connect the IoT devices more effectively. However, the selection of services remains a significant research question since there are currently different strategies towards cloud computing, including services for central remote computing (traditional cloud model) as well as distributed local computing (edge computing). In this paper, we offer an integrated view of these two directions and the selection among the edge technologies based on MCDA (Multiple Criteria Decision Analysis) algorithms. To this end, we propose a foglet as a middleware that aims at achieving satisfactory levels of customer services by using fuzzy similarity and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to facilitate the rating and selection of services in the fog-to-cloud environment. Then, we describe the selection process with a numerical example, and conclude our work with an outline of future perspectives.
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Parwate, Abhijeet K. "IOT Home Automation over the Cloud." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 25, 2021): 2683–86. http://dx.doi.org/10.22214/ijraset.2021.35443.
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Home automations give full management and versatile watching of home appliances for exaggerated comfort, economical energy use, prices saving, improved safety and security, and have driven the event of assorted sensible homes technologies. This paper presents the implementation of a home automation system utilizing the web of Things (iot) technology. This work tackles the issues of quality and incompatible standards inherent within the existing home automation solutions employing a strong distributed computing approach. During this project mobile phones, computer & web as device application for the appliances. Still as GAS outflow monitor on web. That is employed in any general automation via web. Todays in Republic of India ninety four population used smartphone, computer and web. Therefore here used web OF THINGS idea that physical hardware devices connected to the web and obtaining knowledge on web additionally management appliances from internet. This method will use any application for dominant and watching from or to web.
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Valeti, Nagarjuna, and V. Ceronmani Sharmila. "Fault Detection based Connected Dominating Set (FDCDS) in Fog Computing." Webology 17, no. 2 (December 21, 2020): 599–606. http://dx.doi.org/10.14704/web/v17i2/web17054.
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The meaning of cloud computing is providing services by using the internet. From the Cloud Data Centres (CDC) the services are utilized by the cloud users. Presently (Internet of things) IOT playing the key role to improve the performance of the fog computing enabled applications. Migrating the wireless sensor networks with IOT becomes the most powerful and error free application based on the availability of the services, cloud storage, computation and these are transferred efficiently between server and cloud. Health domain is most widely affecting system in cloud computing as well as by using fog computing with IOT. The system causes various failures for providing the service continuously. Enabling the fog computing with the integration of cloud for the medical devices to transmit the patient information to the cloud storage has become the complicated for the IOT sensors continuously. This may cause the data loss and also reduce the performance of the medical device. To improve the continuous services within the cloud server. In this paper, the Fault detection based Connected Dominating Set (FDCDS) which provides the continuous services with the integration of fog computing and IOT devices with wireless sensor networks. Simulation shows the performance of the proposed system.
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Gomes, Berto de Tácio Pereira, Luiz Carlos Melo Muniz, Francisco José da Silva e Silva, Luis Eduardo Talavera Ríos, and Markus Endler. "A comprehensive and scalable middleware for Ambient Assisted Living based on cloud computing and Internet of Things." Concurrency and Computation: Practice and Experience 29, no. 11 (December 8, 2016): e4043. http://dx.doi.org/10.1002/cpe.4043.
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Krakowiak, Marlena, and Teresa Bajor. "Cloud Computing as a Prospect for the Sector of Small – and Medium-Size Companies in the Polish Market." New Trends in Production Engineering 2, no. 2 (December 1, 2019): 103–13. http://dx.doi.org/10.2478/ntpe-2019-0076.
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Abstract Efficient functioning in the contemporary market is a fundamental need of every organization. In times of globalization and an intensive technological and engineering progress, attaining a proper position and retaining it is a big challenge in almost every branch of industry. This is especially difficult for the SME sector, as it requires financial expenditures on system solutions and the IT base, among other things. This is where “Cloud Computing” comes in. Cloud computing services consist in providing and making available IT resources (efficient, scalable and tailored to the customer’s needs) through the Web. Thanks to wide access to intensively developing mobile systems, the low costs of computer components and the associated increasingly common use of Internet of Things (IoT) in numerous devices connected to the Internet, data processing is being gradually moved onto the Web peripheries. The purpose of the study is to highlight advantages and possible threats associated with the use of Cloud Computing-based solutions for aiding the activity of enterprises at a varying organizational level following the 4th industrial revolution.
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Mahmoud, Sara, Nader Mohamed, and Jameela Al-Jaroodi. "Integrating UAVs into the Cloud Using the Concept of the Web of Things." Journal of Robotics 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/631420.
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UAVs, Unmanned Aerial Vehicles, have gained significant attention recently, due to the increasingly growing range of applications. Most UAVs use radio frequency transmission to communicate with the ground station to receive commands and send data. However, this model of communication restricts the user to being in specific locations and limits missions to narrow areas. This paper proposes a Cloud Computing (CC) integration where the UAVs become part of the cloud infrastructure and can be accessed ubiquitously. This concept is similar to the Internet of Things (IoT) where smart objects are connected to the Internet and are given unique identification. Moreover, to provide an appropriate way of communication, UAV resources are developed as web services. They provide their resources and services through a uniform interface using the RESTful HTTP architecture. This concept is relevant to the Web of Things (WoT) that provides smart objects with interfaces to be accessed through the World Wide Web (WWW). However, in UAVs, not only the web services are computational services but they are also physical elements affecting and affected by the real world environment.
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Madduru, Pavan. "ARTIFICIAL INTELLIGENCE AS A SERVICE IN DISTRIBUTED MULTI ACCESS EDGE COMPUTING ON 5G EXTRACTING DATA USING IOT AND INCLUDING AR/VR FOR REAL-TIME REPORTING." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (March 15, 2021): 912–31. http://dx.doi.org/10.17762/itii.v9i1.220.
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To meet the growing demand for mobile data traffic and the stringent requirements for Internet of Things (IoT) applications in emerging cities such as smart cities, healthcare, augmented / virtual reality (AR / VR), fifth-generation assistive technologies generation (5G) Suggest and use on the web. As a major emerging 5G technology and a major driver of the Internet of Things, Multiple Access Edge Computing (MEC), which integrates telecommunications and IT services, provides cloud computing capabilities at the edge of an access network. wireless (RAN). By providing maximum compute and storage resources, MEC can reduce end-user latency. Therefore, in this article we will take a closer look at 5G MEC and the Internet of Things. Analyze the main functions of MEC in 5G and IoT environments. It offers several core technologies that enable the use of MEC in 5G and IoT, such as cloud computing, SDN / NFV, information-oriented networks, virtual machines (VMs) and containers, smart devices, shared networks and computing offload. This article also provides an overview of MEC's role in 5G and IoT, a detailed introduction to MEC-enabled 5G and IoT applications, and future perspectives for MEC integration with 5G and IoT. Additionally, this article will take a closer look at the MEC research challenges and unresolved issues around 5G and the Internet of Things. Finally, we propose a use case that MEC uses to obtain advanced intelligence in IoT scenarios.
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Xu, Mingying, Junping Du, Feifei Kou, Meiyu Liang, Xin Xu, and Jiaxin Yang. "A Weakly Supervised Academic Search Model Based on Knowledge-Enhanced Feature Representation." Wireless Communications and Mobile Computing 2021 (September 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/4411524.
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Internet of Things search has great potential applications with the rapid development of Internet of Things technology. Combining Internet of Things technology and academic search to build academic search framework based on Internet of Things is an effective solution to realize massive academic resource search. Recently, the academic big data has been characterized by a large number of types and spanning many fields. The traditional web search technology is no longer suitable for the search environment of academic big data. Thus, this paper designs academic search framework based on Internet of Things Technology. In order to alleviate the pressure of the cloud server processing massive academic big data, the edge server is introduced to clean and remove the redundancy of the data to form a clean data for further analysis and processing by the cloud server. Edge computing network effectively makes up for the deficiency of cloud computing in the conditions of distributed and high concurrent access, reduces long-distance data transmission, and improves the quality of network user experience. For Academic Search, this paper proposes a novel weakly supervised academic search model based on knowledge-enhanced feature representation. The proposed model can relieve high cost of acquisition of manually labeled data by obtaining a lot of pseudolabeled data and consider word-level interactive matching and sentence-level semantic matching for more accurate matching in the process of academic search. The experimental result on academic datasets demonstrate that the performance of the proposed model is much better than that of the existing methods.
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Facco Rodrigues, Vinicius, Ivam Guilherme Wendt, Rodrigo da Rosa Righi, Cristiano André da Costa, Jorge Luis Victória Barbosa, and Antonio Marcos Alberti. "Brokel: Towards enabling multi-level cloud elasticity on publish/subscribe brokers." International Journal of Distributed Sensor Networks 13, no. 8 (August 2017): 155014771772886. http://dx.doi.org/10.1177/1550147717728863.
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Internet of Things networks together with the data that flow between networked smart devices are growing at unprecedented rates. Often brokers, or intermediaries nodes, combined with the publish/subscribe communication model represent one of the most used strategies to enable Internet of Things applications. At scalability viewpoint, cloud computing and its main feature named resource elasticity appear as an alternative to solve the use of over-provisioned clusters, which normally present a fixed number of resources. However, we perceive that today the elasticity and Pub/Sub duet presents several limitations, mainly related to application rewrite, single cloud elasticity limited to one level and false-positive resource reorganization actions. Aiming at bypassing the aforesaid problems, this article proposes Brokel, a multi-level elasticity model for Pub/Sub brokers. Users, things, and applications use Brokel as a centralized messaging service broker, but in the back-end the middleware provides better performance and cost (used resources × performance) on message delivery using virtual machine (VM) replication. Our scientific contribution regards the multi-level, orchestrator, and broker, and the addition of a geolocation domain name system service to define the most suitable entry point in the Pub/Sub architecture. Different execution scenarios and metrics were employed to evaluate a Brokel prototype using VMs that encapsulate the functionalities of Mosquitto and RabbitMQ brokers. The obtained results were encouraging in terms of application time, message throughput, and cost (application time × resource usage) when comparing elastic and non-elastic executions.
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Vanneste, Simon, Jens de Hoog, Thomas Huybrechts, Stig Bosmans, Reinout Eyckerman, Muddsair Sharif, Siegfried Mercelis, and Peter Hellinckx. "Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency." Future Internet 11, no. 7 (July 19, 2019): 158. http://dx.doi.org/10.3390/fi11070158.
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The increase of Internet of Things devices and the rise of more computationally intense applications presents challenges for future Internet of Things architectures. We envision a future in which edge, fog, and cloud devices work together to execute future applications. Because the entire application cannot run on smaller edge or fog devices, we will need to split the application into smaller application components. These application components will send event messages to each other to create a single application from multiple application components. The execution location of the application components can be optimized to minimize the resource consumption. In this paper, we describe the Distributed Uniform Stream (DUST) framework that creates an abstraction between the application components and the middleware which is required to make the execution location transparent to the application component. We describe a real-world application that uses the DUST framework for platform transparency. Next to the DUST framework, we also describe the distributed DUST Coordinator, which will optimize the resource consumption by moving the application components to a different execution location. The coordinators will use an adapted version of the Contract Net Protocol to find local minima in resource consumption.
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Kishor Panda, Nanda, Shubham Bhardwaj, H. Bharadwaj, and Rohil Singhvi. "IOT based Advanced Medicine Dispenser Integrated with an Interactive Web Application." International Journal of Engineering & Technology 7, no. 4.10 (October 2, 2018): 46. http://dx.doi.org/10.14419/ijet.v7i4.10.20704.
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Internet of Things (IOT) is a development of the internet which plays a major role in integrating human-machine interaction by allowing everyday objects to send and receive data in a variety of applications. Using IOT in healthcare monitoring provides an avenue for doctors and patients to interact and to track the dosage of medication administered. The paper presents an interactive, user friendly network integrated with an automated medicine dispenser which uses IOT, cloud computing and machine learning. The network was built on a python tornado framework with a front end developed using materialise CSS. The feasibility of this approach was validated by building a prototype and conducting a survey.
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Peng, Wenjie, Daizhong Su, and Shuyi Wang. "Development of an Innovative ICT Infrastructure for an Eco-Cost System with Life Cycle Assessment." Sustainability 13, no. 6 (March 12, 2021): 3118. http://dx.doi.org/10.3390/su13063118.
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A novel Internet-based information communication technology (ICT) infrastructure for an eco-accounting system was successfully developed to deliver “EcoCosts”, which are the values of environmental impact throughout the product life cycle. The ICT infrastructure manages its internal elements and interacts with operation modules in the supply chain via Web-based service interfaces. The infrastructure consists of upperware, middleware, and resource layers. The upperware layer manipulates the middleware elements (cloud-based load balancing, life cycle assessment, Web-based services, and Radio Frequency Identification (RFID)-enabled mobile access), and manages the associated resources within the eco-accounting system. As novel features of the ICT infrastructure, load balancing is used to handle large numbers of data and to allocate the computing load across the eco-accounting network nodes, and life cycle assessment is conducted to analyse product footprints, which are the core of “EcoCost”, to facilitate consumers in comparing the environmental impacts between different products. A case study was conducted by transmitting product EcoCosts from businesses to consumers through the Internet, successfully verifying the system developed in this research. Because this research aims to pay more attention to the ICT aspects, the EcoCost is represented using a single value, hence simplifying the related calculation. This research provides a novel solution for dealing with the large numbers of data and computing loads required to manage EcoCost data throughout the product life cycle and to transmit EcoCosts from businesses to consumers.
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Symeonaki, Eleni, Konstantinos Arvanitis, and Dimitrios Piromalis. "A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0." Applied Sciences 10, no. 3 (January 23, 2020): 813. http://dx.doi.org/10.3390/app10030813.
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The adoption of Precision Farming (PF) practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production toward Agriculture 4.0 is a significant factor for the benefit of sustainable growth. In this context, the dynamic integration of PF facility systems into the Internet of Things (IoT) represents an excessive challenge considering the large amount of heterogeneous raw data acquired in agricultural environments by Wireless Sensor and Actuator Networks (WSANs). This paper focuses on the issue of facilitating the management, process, and exchange of the numerous and diverse data points generated in multiple PF environments by introducing a framework of a cloud-based context-aware middleware solution as part of a responsive, adaptive, and service-oriented IoT integrated system. More particularly, the paper presents in detail a layered hierarchical structure according to which all functional elements of the system cope with context, while the context awareness operation is accomplished into a cloud-based distributed middleware component that is the core of the entire system acting as a Decision Support System (DSS). Furthermore, as proof of concept, the functionality of the proposed system is studied in real conditions where some evaluation results regarding its performance are quoted.
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Khaleel Ibrahim, Asaad. "Evolution of the Web: from Web 1.0 to 4.0." Qubahan Academic Journal 1, no. 3 (June 30, 2021): 20–28. http://dx.doi.org/10.48161/qaj.v1n3a75.
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The internet has become a vital component of the twenty-first century as technology has advanced. The number of new technologies emerging in tandem with the qualities supplied by the Internet is rapidly increasing. The World Wide Web (WWW), which is commonly referred to as the world's largest information environment, is a vital virtual environment in which internet users may trade, read, and publish information using a Web browser. Web 1.0, Web 2.0, and Web 3.0 technologies have all been seen and are still being observed in this review paper. However, there is no clear definition for Web 4.0, which is a 4th generation web technology, in the literature. Web 4.0 has multiple dimensions, as seen by the first examples that have appeared. Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. Web 4.0 is a web technology revolution that includes a new internet of things (IoT) that interacts with a variety of models. The goal of this study is to clarify the notion of Web 4.0, which is viewed as an intelligent and symbiotic (human-machine interaction) network with massive interfaces and linkages, as well as to contribute to the literature by studying its many dimensions and investigating its links with new generation technologies.
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Zamfiroiu, Alin, Bogdan Iancu, Catalin Boja, Tiberiu-Marian Georgescu, Cosmin Cartas, Marius Popa, and Cristian Valeriu Toma. "IoT Communication Security Issues for Companies: Challenges, Protocols and The Web of Data." Proceedings of the International Conference on Business Excellence 14, no. 1 (July 1, 2020): 1109–20. http://dx.doi.org/10.2478/picbe-2020-0104.
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AbstractThis article analyzes and highlights the security perspective of Internet of Things (IoT) connected devices and their communication challenges, as IoT is considered one of the key emerging fields in Industry 4.0. The IoT architectures can consist of physical systems, virtual ones or even hybrids, combining a collection of different physically active things, sensors, cloud services, specific IoT protocols, communication layers, users and developers. On top of all, it is the business layer, because the scope of the entire IoT environment is to deliver data, to monitor and to facilitate the management of complex processes. In order to facilitate the data exchange between the IoT layers, there have been developed a series of protocols particular to the IoT domain. As in many IT related fields, the solutions are not perfect from the data security and privacy perspectives, many challenges being still open research issues. As the two concepts of IoT and Cloud of Things are connected, bringing real world data into the Cloud to process it, raises Cloud Computing security concerns regarding the privacy and security of data. Although in recent years, many efforts have been made to improve Cloud Computing security, there are risks that need to be taken into consideration. From the Web of Data’s point of view, things are even more prone to security risks. Because privacy is one of the fundamental right of digital users, it is extremely important for new technologies to comply with privacy regulations and policies, such as the new European data protection and privacy frameworks. In this context, companies must take into account standards, challenges and new trends in IoT. In the absence of specific measures, raw or processed data can be easily stolen from the Web of Data. In this paper we analyze and present the main protocols of communication in the IoT field from a data security perspective. Also, we do a review of the main architectures that can improve the security of the communication between IoT devices and the Cloud data storage.
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Zemmouchi-Ghomari, Leila. "How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts." International Journal of Software Science and Computational Intelligence 13, no. 4 (October 2021): 64–74. http://dx.doi.org/10.4018/ijssci.2021100105.
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Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.
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Okoye, J. A., I. E. Achumba, K. C. Okafor, and O. U. Oparaku. "Baseline Parametric Survey on Causes of Traffic Congestion in Datacenter Networks." Circulation in Computer Science 1, no. 1 (July 24, 2016): 21–29. http://dx.doi.org/10.22632/ccs-2016-251-17.
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Distributed cloud datacenters are currently used as deployment environment for large-scale web-facing enterprise analytic cloud applications. In the era of cloud computing, these networks allow unprecedented scalability in response to dynamic and unpredictable grid workloads. However, grid applications need to scale beyond the limits of single-tenanted datacenter to multi-tenanted datacenter sites providing regulatory service level compliance, efficient Quality of Service (QoS) and increased fault tolerance at all times. Following the complex hierarchical design structure of emerging cloud networks such as Internet of Things (IoT) and Fog Computing Networks (FCNs), congestion crisis becomes a critical consideration for future expansion of these networks. This paper carried out a Baseline Parametric Survey (BPS) to ascertain major factors of DCN traffic congestion in selected production networks in Nigeria. From the survey, it was observed that the absence of an intelligent load balancer, bandwidth size, network traffic type, and network switch butter capacity, number of users on the network, segmentation and routing devices all contribute to network congestion incidence. The deductions from this work can be used to implement a Fog internet layer for smarter data off-loading in today’s internet of everything.
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Herts, Andriy, Ivan Tsidylo, Nataliia Herts, Ljubov Barna, and Stanislav-Ivan Mazur. "PhotosynQ – cloud platform powered by IoT devices." E3S Web of Conferences 166 (2020): 05001. http://dx.doi.org/10.1051/e3sconf/202016605001.
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This article describes how to connect to PhotosynQ and some of the features of a cloud service. The focus is on organizing communication between the web service and the Internet of Things. An example and procedure for integrating a number of digital encoders that are not included in the list supported by the default platform through modification of the open-source base firmware is given. It has been suggested that in the future, a number of tools can be designed in the future, including for environmental monitoring, using basic digital sensors included in the so-called Arduino UNO Kit kits and more. It is emphasized that the PhotosynQ web platform, which is related to the SaaS cloud computing model, is an environment for collecting, analyzing, deriving and discussing results where research protocols and calculation procedures are open access. Its primary focus is only on working with a specific list of dashboards, offset by the openness of the software itself, which provides communication with the platform.
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Chen, Xi, Huajun Chen, Ningyu Zhang, Jue Huang, and Wen Zhang. "Large-Scale Real-Time Semantic Processing Framework for Internet of Things." International Journal of Distributed Sensor Networks 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/365372.
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Nowadays, the advanced sensor technology with cloud computing and big data is generating large-scale heterogeneous and real-time IOT (Internet of Things) data. To make full use of the data, development and deploy of ubiquitous IOT-based applications in various aspects of our daily life are quite urgent. However, the characteristics of IOT sensor data, including heterogeneity, variety, volume, and real time, bring many challenges to effectively process the sensor data. The Semantic Web technologies are viewed as a key for the development of IOT. While most of the existing efforts are mainly focused on the modeling, annotation, and representation of IOT data, there has been little work focusing on the background processing of large-scale streaming IOT data. In the paper, we present a large-scale real-time semantic processing framework and implement an elastic distributed streaming engine for IOT applications. The proposed engine efficiently captures and models different scenarios for all kinds of IOT applications based on popular distributed computing platform SPARK. Based on the engine, a typical use case on home environment monitoring is given to illustrate the efficiency of our engine. The results show that our system can scale for large number of sensor streams with different types of IOT applications.
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Mathur, Mohit, Mamta Madan, and Kavita Chaudhary. "A Satiated Method for Cloud Traffic Classification in Software Defined Network Environment." International Journal of Cloud Applications and Computing 6, no. 2 (April 2016): 64–79. http://dx.doi.org/10.4018/ijcac.2016040107.
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With the advent of new technologies like software defined networking, cloud computing and Internet of Things, everything needs to be redefined. Software Define Networking (SDN) is the latest approach and an emerging network technology that will bring a major change in the area of networking. Though SDN has been successfully applied to most of the networking area but traffic classification is the area where it is yet to be applied. With the high adoption of cloud services, the traffic on cloud increased rapidly. The technologies need to be clubbed together so that they can survive in the rapidly changing environment. The paper aims at addressing the cloud traffic classification using Differential Services Code Point (DSCP) marking in software defined network environment. This allows us to identify cloud traffic separately from other web services and helps its traffic flows to be provided with special treatment over other internet services. The paper aims to classify cloud traffic along with suggesting some marking schemes to prioritize cloud traffic using DSCP of IP header.
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Chawla, Jaspreet, and Anil Kr Ahlawat. "Resolving Interoperability Issues of Date with Null Value and Collection of Complex Data Types by Using JADE-WSIG Framework." Webology 18, no. 1 (April 29, 2021): 263–84. http://dx.doi.org/10.14704/web/v18i1/web18088.
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In today’s world, the internet and distributed computing make things so convenient that web services can be easily built and fetch from any platform. Web services are loosely coupled, interoperable, and heterogeneous hence they help to connect web applications of different languages. Interoperability is the major factor while transferring web services from one platform to another platform.WS-I basic profile 1.0/1.1 organization provides guidelines to achieve interoperability of web services at a basic level but still, issues arise at a complex level. In this paper, we have discussed and shown the result of two interoperability issues i.e. Date with Null value and Collection of Complex data types of web services using JAVA and.NET environment. In the first issue.NET treat NULL as a value type and JAVA treats NULL as reference type in date-time data type. So, whenever a JAVA client fetches a web service built in.NET it will show a parsable error. In the second issue, a web service data structure contains elements of any type. Whenever, a web service built with the ‘ArrayOfAnyType’ data structure, it can be easily mapped to a.NET client but not to JAVA client. Hence, a data type mismatch issue arises here. To resolve these inter-platform issues, we have used JADE-WSIG as middleware between web services and agent-technology.
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Kazlauskas, Mantas. "FOG COMPUTING TECHNOLOGIES FOR PATIENT SENSOR NETWORKS – TRENDS, ISSUES AND FUTURE DIRECTIONS." Mokslas - Lietuvos ateitis 13 (August 20, 2021): 1–8. http://dx.doi.org/10.3846/mla.2021.15174.
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Advances in sensors and internet of things promise broad opportunities in many areas and one of them is health care. There are many solutions to manage health care data based on cloud computing. However, high response latency, large volumes of data transferred and security are the main issues of such approach. Fog computing provides immediate response and ways to process large amounts of data using real time analytics which includes machine learning and AI. Fog computing has not yet fully matured and there are still many challenges when managing health care data. It was chosen to investigate the most relevant ehealth fog computing topics by analyzing review articles to explain the fog computing model and present the current trends – fog computing ehealth technology application environments, deployment cases, infrastructure technologies, data processing challenges, problems and future directions. 38 scientific review articles published in the last 5 years were selected for analysis, filtering the most significant works with Web of Science article search tool.
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Zong Chen, Joy Iong, and Lu-Tsou Yeh. "Graphene based Web Framework for Energy Efficient IoT Applications." March 2021 3, no. 1 (May 10, 2021): 18–28. http://dx.doi.org/10.36548/jitdw.2021.1.003.
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Energy efficiency is a crucial factor to be considered while designing sensor network based Internet of Things (IoT) applications due to the compromise in terms of power constraint in these devices. The overall network and IoT device lifetime may be increased significantly by enhancing the energy conservation schemes. Design changes, duty cycle optimization at the MAC layer and various other solutions are proposed to achieve efficiency in energy utilization. In IoT sensing applications based on cloud computing, these challenges are overcome by means of integrating the constrained application mechanism with abstraction layer as proposed in this paper. The round trips for graph-based data representation and data delivery are reduced by incorporating the cloud services with an efficient web framework in order to achieve efficient data management and energy conservation in the IoT sensing applications. In specific applications, the aforementioned objectives may be achieved by the integration of potential technologies. Google cloud services along with Graphene web framework, RIOT OS and Z1 IoT motes are used for developing a testbed in the constrained applications at the abstraction layer for interfacing the proposed implementation. The sensor networks in IoT applications have achieved significant reduction in energy consumption and delay of data delivery using the proposed method when compared to the existing baseline approaches.
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Babu, K. R. Remesh, and K. P. Madhu. "Intelligent Secure Storage Mechanism for Big Data." Webology 18, Special Issue 01 (April 29, 2021): 246–61. http://dx.doi.org/10.14704/web/v18si01/web18057.
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The management of big data became more important due to the wide spread adoption of internet of things in various fields. The developments in technology, science, human habits, etc., generates massive amount of data, so it is increasingly important to store and protect these data from attacks. Big data analytics is now a hot topic. The data storage facility provided by the cloud computing enabled business organizations to overcome the burden of huge data storage and maintenance. Also, several distributed cloud applications supports them to analyze this data for taking appropriate decisions. The dynamic growth of data and data intensive applications demands an efficient intelligent storage mechanism for big data. The proposed system analyzes IP packets for vulnerabilities and classifies data nodes as reliable and unreliable nodes for the efficient data storage. The proposed Apriori algorithm based method automatically classifies the nodes for intelligent secure storage mechanism for the distributed big data storage.
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Rampérez, Víctor, Javier Soriano, and David Lizcano. "A Multidomain Standards-Based Fog Computing Architecture for Smart Cities." Wireless Communications and Mobile Computing 2018 (September 26, 2018): 1–14. http://dx.doi.org/10.1155/2018/4019858.
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Many of the problems arising from rapid urbanization and urban population growth can be solved by making cities “smart”. These smart cities are supported by large networks of interconnected and widely geo-distributed devices, known as Internet of Things or IoT, that generate large volumes of data. Traditionally, cloud computing has been the technology used to support this infrastructure; however, some of the essential requirements of smart cities such as low-latency, mobility support, location-awareness, bandwidth cost savings, and geo-distributed nature of such IoT systems cannot be met. To solve these problems, the fog computing paradigm proposes extending cloud computing models to the edge of the network. However, most of the proposed architectures and frameworks are based on their own private data models and interfaces, which severely reduce the openness and interoperability of these solutions. To address this problem, we propose a standard-based fog computing architecture to enable it to be an open and interoperable solution. The proposed architecture moves the stream processing tasks to the edge of the network through the use of lightweight context brokers and Complex Event Processing (CEP) to reduce latency. Moreover, to communicate the different smart cities domains we propose a Context Broker based on a publish/subscribe middleware specially designed to be elastic and low-latency and exploit the context information of these environments. Additionally, we validate our architecture through a real smart city use case, showing how the proposed architecture can successfully meet the smart cities requirements by taking advantage of the fog computing approach. Finally, we also analyze the performance of the proposed Context Broker based on microbenchmarking results for latency, throughput, and scalability.
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Chai, Yueting, Chunyan Miao, Baowen Sun, Yongqing Zheng, and Qingzhong Li. "Crowd science and engineering: concept and research framework." International Journal of Crowd Science 1, no. 1 (March 6, 2017): 2–8. http://dx.doi.org/10.1108/ijcs-01-2017-0004.
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Purpose The synthetic application and interaction of/between the internet, Internet of Things, cloud computing, big data, Industry 4.0 and other new patterns and new technologies shall breed future Web-based industrial operation system and social operation management patterns, manifesting as a crowd cyber eco-system composed of multiple interconnected intelligent agents (enterprises, individuals and governmental agencies) and its dynamic behaviors. This paper aims to explore the basic principles and laws of such a system and its behavior. Design/methodology/approach The authors propose the concepts of crowd science and engineering (CSE) and expound its main content, thus forming a research framework of theories and methodologies of crowd science. Findings CSE is expected to substantially promote the formation and development of crowd science and thus lay a foundation for the advancement of Web-based industrial operation system and social operation management patterns. Originality/value This paper is the first one to propose the concepts of CSE, which lights the beacon for the future research in this area.
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Triantafyllou, Anna, Panagiotis Sarigiannidis, and Stamatia Bibi. "Precision Agriculture: A Remote Sensing Monitoring System Architecture †." Information 10, no. 11 (November 9, 2019): 348. http://dx.doi.org/10.3390/info10110348.
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Smart Farming is a development that emphasizes on the use of modern technologies in the cyber-physical field management cycle. Technologies such as the Internet of Things (IoT) and Cloud Computing have accelerated the digital transformation of the conventional agricultural practices promising increased production rate and product quality. The adoption of smart farming though is hampered because of the lack of models providing guidance to practitioners regarding the necessary components that constitute IoT-based monitoring systems. To guide the process of designing and implementing Smart farming monitoring systems, in this paper we propose a generic reference architecture model, taking also into consideration a very important non-functional requirement, the energy consumption restriction. Moreover, we present and discuss the technologies that incorporate the seven layers of the architecture model that are the Sensor Layer, the Link Layer, the Encapsulation Layer, the Middleware Layer, the Configuration Layer, the Management Layer and the Application Layer. Furthermore, the proposed Reference Architecture model is exemplified in a real-world application for surveying Saffron agriculture in Kozani, Greece.
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Yunior, Yudhis Thiro Kabul, and Kusrini Kusrini. "Sistem Monitoring Kualitas Air Pada Budidaya Perikanan Berbasis IoT dan Manajemen Data." Creative Information Technology Journal 6, no. 2 (February 24, 2021): 153. http://dx.doi.org/10.24076/citec.2019v6i2.251.
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Salah satu permasalahan utama di sektor perikanan budidaya adalah sistem kontrol kualitas air yang buruk sehingga menyebabkan hama dan penyakit pada air kolam budidaya dan berdampak pada ikan yang stress dan mati. Tujuan dari pengecekan kualitas air adalah untuk mengkontrol penyakit dan bakteri pada air kolam budidaya sehingga dapat dilakukan tindakan dengan segera jika kualitas air dalam keadaan buruk. Berdasarkan permasalahan tersebut diperlukan terobosan teknologi untuk mempermudah petani ikan dalam mengkontrol kualitas air kolam budidaya. Sistem monitoring kualitas air berbasis Internet of Things (IoT) dan manajemen data sistem merupakan solusi yang tepat untuk permasalahan kontrol kalitas air pada kolam budidaya. Prinsip kerja sistem tersebut adalah dengan cara mentransfer data dari beberapa sensor kualitas air (Ph, Disolve Oxygen, Suhu, Turbidity) melalui embedded sistem pada sistem cloud computing yang kemudian data tersebut di transfer ke web server dan smartphone android sehingga petani ikan dapat memonitoring kualitas air kolam menggunakan smartphone secara realtime dan terintegrasi dengan sistem notifikasi. Jika salah satu parameter air dalam keadaaan buruk dapat dilakukan treatment air secara cepat. Dampak dari terkontrolnya kualitas air tersebut adalah meningkatkan Survival rate (SR) ikan hingga 30% sehingga dapat meningkatkan sosial ekonomi petani ikan. Kata Kunci— Internet of Things, Embeded sistem, Kualitas airAbstractOne of the main problems in the aquaculture sector is a poor water quality control system that causes pests and diseases in aquaculture pond water and impacts on stressed and dead fish. The purpose of checking water quality is to control disease and bacteria in aquaculture pond water so action can be taken immediately if the water quality is in a bad state. Based on these problems a technological breakthrough is needed to facilitate fish farmers in controlling the quality of aquaculture pond water. Internet quality monitoring system based on Internet of Things (IoT) and system data management is the right solution for the problem of water quality control in aquaculture ponds. The working principle of the system is by transferring data from several water quality sensors (Ph, Dissolve Oxygen, Temperature, Turbidity) through an embedded system on a cloud computing system which is then transferred to the web server and an android smartphone so that fish farmers can monitor water quality the pool uses a smartphone in real-time and is integrated with the notification system when one of the water parameters is in a bad state so that water treatment can be done. The impact of controlled water quality is that it can increase fish survival rate (SR) by up to 30% so that it improves the socioeconomic of fish farmers. Keywords— Internet of Things, Embeded System, Water Quality
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Ahmed, Anwer Sabah, Heyam A. Marzog, and Laith Ali Abdul-Rahaim. "Design and implement of robotic arm and control of moving via IoT with Arduino ESP32." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 5 (October 1, 2021): 3924. http://dx.doi.org/10.11591/ijece.v11i5.pp3924-3933.
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Every day, the technologies are expanding and developed with extra things to them. A cloud computing (CC) and Internet of things (IoT) became deeply associated with technologies of the internet of future with one supply the other a way helping it for the successful. Arduino microcontroller is used to design robotic arm to pick and place the objects by the web page commands that can be used in many industrials. It can pick and place an object from source to destination and drive the screws in into its position safely. The robot arm is controlled using web page designed by (html) language which contain the dashboard that give the commands to move the servos in the desired angle to get the aimed direction accordingly. At the receiver end there are four servo motors which are made to be interfaced with the micro controller (Arduino) which is connected to the wireless network router. One of these is for the arm horizontally movement and two for arm knee, while the fourth is for catch tings or tight movement. Two ultra-sonic sensors are used for limiting the operation area of the robotic arm. Finally, Proteus program is used for the simulation the controlling of robot before the hardware installation
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Kumar, Lokku Guru, Gangireddy Harinatha Reddy, Payasam Venkata Sai, Sk Irfan, and K. Pushpa Pujitha. "Real Time Remote Monitoring, Control and Reporting Dashboard System to Avoid Industrial Disasters Using Industrial IOT." Advances in Science and Technology 106 (May 2021): 143–49. http://dx.doi.org/10.4028/www.scientific.net/ast.106.143.
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In today’s global scenario, with the evolution of new technologies and robust ideas, the world gets more involved and embed the advancements of wireless communication with information technology. An ongoing Gartner report assesses that, by 2021, there will be 25.1 billion web associated gadgets, developing at a pace of 32% every year. Bounties of automation are minimizing the human assistance, intervention and reduced risk factor in industry. Here Industrial Automation is used to control systems or things such as computers or robots or machines or sensors with the help of Internet protocol and cloud computing. In this paper six parameters viz., vibration, temperature, humidity, air quality, sound rate and pressure are monitored and controlled remotely using cloud computing. The system performance automatically changes on the basis of sensor data being collected at regular intervals with a feedback mechanism, thereby allowing the system to control or monitor various devices using internet protocols. The threshold values for all the sensors are set as per the industrial standards. These automation techniques find extensive applications in various control mechanisms to operate the equipment under production processes like boilers and heat-treating ovens, steering and stabilization, pressure exerted by ideal gases in confined containers, vibrations by machinery, air pollution released from chemical composites etc.,
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Cao, Shihua, Xin Lin, Keyong Hu, Lidong Wang, Wenjuan Li, Mengxin Wang, and Yuchao Le. "Cloud Computing-Based Medical Health Monitoring IoT System Design." Mobile Information Systems 2021 (July 7, 2021): 1–12. http://dx.doi.org/10.1155/2021/8278612.
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With the continuous improvement of the national medical system, health monitoring combined with cloud computing and Internet of Things has become a concern. This study mainly discusses the design of the medical health monitoring IoT system based on cloud computing. From the user to the health service provider, there are three devices: sensor terminal, gateway terminal, and service platform. The sensor terminal is used to measure physiological indicators, such as blood pressure, electrocardiogram, blood oxygen saturation, heart rate, and other physiological indicators; the gateway terminal is used to link the sensor terminal to receive physiological indicators and forward them to the business platform; the gateway is also used to receive health information and other instructions issued by the server. In the community service mode, users can be divided into groups according to the community and region, and the corresponding service doctors and agent customer service personnel (nurses) can be assigned. Users can collect personal physiological indicators at home or outside through the medical terminal. These indicators and information are transmitted to the background health platform system through the mobile GSM-TD communication network. Users can also view their own historical health records and opinions of health consultants through the web/WAP website. Through the integration ability of the health cloud platform, relying on the interconnection with HIS, LIS, and other information systems of professional medical institutions, we jointly operate special value-added services, such as appointment registration, maternal and child healthcare, and medical communication (doctor-patient interaction), so that users can enjoy the remote service and guidance of professional medical institutions by subscribing to health value-added services. The CPU utilization rate is 40%, the internal utilization rate is 7.44 G, the memory utilization rate is 11.8%, and the network bandwidth is 591.87 M. During the whole test process, the indicators are stable, and there are no restart, crash, and other phenomena, so the system performance meets the design requirements.
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Segall, Richard S., and Gao Niu. "Big Data and Its Visualization With Fog Computing." International Journal of Fog Computing 1, no. 2 (July 2018): 51–82. http://dx.doi.org/10.4018/ijfc.2018070102.
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Big Data is data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. This article discusses what is Big Data, and its characteristics, and how this information revolution of Big Data is transforming our lives and the new technology and methodologies that have been developed to process data of these huge dimensionalities. Big Data can be discrete or a continuous stream of data, and can be accessed using many types and kinds of computing devices ranging from supercomputers, personal work stations, to mobile devices and tablets. Discussion is presented of how fog computing can be performed with cloud computing as a mechanism for visualization of Big Data. An example of visualization techniques for Big Data transmitted by devices connected by Internet of Things (IoT) is presented for real data from fatality analysis reporting system (FARS) managed by the National Highway Traffic Safety Administration (NHTSA) of the United States Department of Transportation (USDoT). Big Data web-based visualization software are discussed that are both JavaScript-based and user interface-based. Challenges and opportunities of using Big Data with fog computing are also discussed.
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Khoa, Tran Anh, Le Mai Bao Nhu, Hoang Hai Son, Nguyen Minh Trong, Cao Hoang Phuc, Nguyen Thi Hoang Phuong, Nguyen Van Dung, Nguyen Hoang Nam, Dong Si Thien Chau, and Dang Ngoc Minh Duc. "Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study." Wireless Communications and Mobile Computing 2020 (November 20, 2020): 1–18. http://dx.doi.org/10.1155/2020/8896637.
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Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.
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Amudha, S., and M. Murali. "Implementation of Energy Efficient Fog based Health Monitoring and Emergency Admission Prediction System Using IoT." Webology 18, Special Issue 02 (April 29, 2021): 171–89. http://dx.doi.org/10.14704/web/v18si02/web18065.
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With rapid development in Information Communication Technology (ICT), Wearable Sensor Networks with Internet of Things (WSN-IoT) has produced several improvements in the smart world environment. One of the main research challenges in Wearable Sensor is energy, since all the sensor nodes operation depends on battery power consumption. Hence a new middleware has to be introduced between Wearable Sensor nodes and Cloud to reduce latency and Power Consumption problems. Overcrowding in hospital premise, detecting priority of hospital admission for patients, managing and monitoring health status of the patient constantly are daily problems in any health care system. Even though IoT based wearable sensors monitor health status of patients regularly and provide intent treatment in critical stage, but there is some block hole in that such as latency, energy issues and unawareness of medical execution plans and policies to preserve them from sudden attacks such as Heart attack. The proposed work is to implement energy efficient FoG based IoT network to monitor patients’ health conditions from chronic diseases and highlights utility of Deep Learning model for analyzing the health condition of patients and predicting Emergency readmission cases well in advance. This model is also compare with existing machine learning algorithms such as Gradient boosted, Decision tree, Random forest and Logistic regression to achieve more accuracy. This paper introduces preemptive interval scheduling algorithm with predictive analysis for constant monitoring of status for critical patients. By means of comparative analysis done in this work energy efficiency has been achieved prominently.
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V.K, Niveditha, Dr Kiran V, and Avinash Pathak. "Review on Technologies Used in Developing a Tool for Automatic Software Upgrades at Data Centers." Journal of University of Shanghai for Science and Technology 23, no. 06 (June 18, 2021): 767–74. http://dx.doi.org/10.51201/jusst/21/05322.
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The fast evolution pace of various technologies such as the Internet of Things (IoT), Cloud Computing and the world moving towards digitalization created an increased need for data centers than ever before. Data centers support a wide range of internet services, including web hosting, e-commerce, and social networking. In recent years huge data centers have been owned and run by tech giants like Google, Facebook, Microsoft, etc., and these firms are known as Hyper-scalers. Hyper-scalers are the next big thing, ready to fundamentally alter the internet world for data storage through a variety of services supplied by them across all technological domains. The tool for automatic software upgrade focuses on having a seamless upgrade for the devices in the datacenters mainly in huge data centers owned by the hyper-scalers. This paper mainly focuses on the technologies used in developing the tool for automatic software upgrade, an overview of how the tool is developed, and its features. By deploying this tool in the datacenters, it supports them in delivering more efficient services.
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Mustafee, Navonil, Korina Katsaliaki, and Simon J. E. Taylor. "Distributed Approaches to Supply Chain Simulation." ACM Transactions on Modeling and Computer Simulation 31, no. 4 (October 31, 2021): 1–31. http://dx.doi.org/10.1145/3466170.
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The field of Supply Chain Management (SCM ) is experiencing rapid strides in the use of Industry 4.0 technologies and the conceptualization of new supply chain configurations for online retail, sustainable and green supply chains, and the Circular Economy. Thus, there is an increasing impetus to use simulation techniques such as discrete-event simulation, agent-based simulation, and hybrid simulation in the context of SCM. In conventional supply chain simulation, the underlying constituents of the system like manufacturing, distribution, retail, and logistics processes are often modelled and executed as a single model. Unlike this conventional approach, a distributed supply chain simulation (DSCS) enables the coordinated execution of simulation models using specialist software. To understand the current state-of-the-art of DSCS, this paper presents a methodological review and categorization of literature in DSCS using a framework-based approach. Through a study of over 130 articles, we report on the motivation for using DSCS, the modelling techniques, the underlying distributed computing technologies and middleware, its advantages and a future agenda, and also limitations and trade-offs that may be associated with this approach. The increasing adoption of technologies like Internet-of-Things and Cloud Computing will ensure the availability of both data and models for distributed decision-making, which is likely to enable data-driven DSCS of the future. This review aims to inform organizational stakeholders, simulation researchers and practitioners, distributed systems developers and software vendors, as to the current state-of-the art of DSCS, and which will inform the development of future DSCS using new applied computing approaches.
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Jo, Jun Ho, ByungWan Jo, Jung Hoon Kim, and Ian Choi. "Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM10) in Subway Tunnels." International Journal of Environmental Research and Public Health 17, no. 15 (July 28, 2020): 5429. http://dx.doi.org/10.3390/ijerph17155429.
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Air quality monitoring for subway tunnels in South Korea is a topic of great interest because more than 8 million passengers per day use the subway, which has a concentration of particulate matter (PM10) greater than that of above ground. In this paper, an Internet of Things (IoT)-based air quality monitoring system, consisting of an air quality measurement device called Smart-Air, an IoT gateway, and a cloud computing web server, is presented to monitor the concentration of PM10 in subway tunnels. The goal of the system is to efficiently monitor air quality at any time and from anywhere by combining IoT and cloud computing technologies. This system was successfully implemented in Incheon’s subway tunnels to investigate levels of PM10. The concentration of particulate matter was greatest between the morning and afternoon rush hours. In addition, the residence time of PM10 increased as the depth of the monitoring location increased. During the experimentation period, the South Korean government implemented an air quality management system. An analysis was performed to follow up after implementation and assess how the change improved conditions. Based on the experiments, the system was efficient and effective at monitoring particulate matter for improving air quality in subway tunnels.
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Huang, Qian, and Xue Wen Li. "Research on the Design of Government Affairs Platform in the Context of Big Data." Scientific Programming 2021 (May 29, 2021): 1–13. http://dx.doi.org/10.1155/2021/9936217.
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Big data is a massive and diverse form of unstructured data, which needs proper analysis and management. It is another great technological revolution after the Internet, the Internet of Things, and cloud computing. This paper firstly studies the related concepts and basic theories as the origin of research. Secondly, it analyzes in depth the problems and challenges faced by Chinese government management under the impact of big data. Again, we explore the opportunities that big data brings to government management in terms of management efficiency, administrative capacity, and public services and believe that governments should seize opportunities to make changes. Brainlike computing attempts to simulate the structure and information processing process of biological neural network. This paper firstly analyzes the development status of e-government at home and abroad, studies the service-oriented architecture (SOA) and web services technology, deeply studies the e-government and SOA theory, and discusses this based on the development status of e-government in a certain region. Then, the deep learning algorithm is used to construct the monitoring platform to monitor the government behavior in real time, and the deep learning algorithm is used to conduct in-depth mining to analyze the government's intention behavior.
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Dzulqornain, Muhammad Iskandar, M. Udin Harun Al Rasyid, and Sritrusta Sukaridhoto. "Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration." MATEC Web of Conferences 164 (2018): 01030. http://dx.doi.org/10.1051/matecconf/201816401030.
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The internet of things technology (IoT) is growing very rapidly. IoT implementation has been conducted in several sectors. One of them is for aquaculture. For the traditional farmers, they face problems for monitoring water quality and the way to increase the quality of the water quickly and efficiently. This paper presents a real-time monitoring and controlling system for aquaculture based on If This Then That (IFTTT) model and cloud integration. This system was composed of smart sensor module which supports modularity, smart aeration system for controlling system, local network system, cloud computing system and client visualization data. In order to monitor the water condition, we collect the data from smart sensor module. Smart sensor module consists of sensor dissolved oxygen, potential of hydrogen, water temperature and water level. The components of smart aeration system are microcontroller NodeMCU v3, relay, power supply, and propeller that can produce oxygen. The system could set the IFTTT rules for the ideal water condition for the pond in any kinds of aquaculture based on its needs through the web and android application. The experimental result shows that use IFTTT model makes the aquaculture monitoring system more customizable, expandable and dynamic.
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Manukalo, V. O., M. I. Kulbida, and B. O. Ivanov. "Improving the hydrometeorological service of users based on application of modern information technologies." Ukrainian hydrometeorological journal, no. 23 (June 8, 2019): 14–24. http://dx.doi.org/10.31481/uhmj.23.2019.02.
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Improving the quality of hydrometeorological products and services for different categories of end users today is the most important task of the Hydrometeorological Service of Ukraine. Implementation of these measures involves a widespread use of modern technologies of hydrometeorological measurements as well as information and computing technologies such as Internet of Things, Big Data, Cloud Computing. The paper studies the current state and prospects of Internet of Things (IoT) application in hydrometeorological activities, particularly, in the work of hydrometeorological organizations of the State Emergency Service of Ukraine, in order to improve the quality of hydrometeorological products and services. Emergence of IoT became a new step in Internet and Web technologies use and ensured transition from static network to dynamic array of devices of all types and sizes employing electronics, software, sensors and network connectivity. It offers recommendations for intensifying the efforts aimed at implementation of this promising information technology into routine instrumental measurements, data collection and processing, as well as delivery of services to users. The recommendations present solutions to a number of technological, organizational and legal problems. Transition to a new technology should be carried out in stages and in the course of sensors and devices improvement, increase of speed and a reliability of communication channels. The most optimum solution may include a program-target approach based on a comprehensive program of development of the Hydrometeorological Service for the period of up to 5 years. This approach will make it possible to consider development of information technologies in a close relation with development of other activities of the Hydrometeorological Service: technical re-equipment of observation networks, improvement of the Hydrometeorological Service management as a whole and with regard to its separate units; strengthening its material and technical base, personnel potential etc.
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Garg, Sanjay, Kirit Modi, and Sanjay Chaudhary. "A QoS-aware approach for runtime discovery, selection and composition of semantic web services." International Journal of Web Information Systems 12, no. 2 (June 20, 2016): 177–200. http://dx.doi.org/10.1108/ijwis-12-2015-0040.
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Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.
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Xu, Rongxu, Wenquan Jin, and Dohyeun Kim. "Microservice Security Agent Based On API Gateway in Edge Computing." Sensors 19, no. 22 (November 10, 2019): 4905. http://dx.doi.org/10.3390/s19224905.
Full textAbstract:
Internet of Things (IoT) devices are embedded with software, electronics, and sensors, and feature connectivity with constrained resources. They require the edge computing paradigm, with modular characteristics relying on microservices, to provide an extensible and lightweight computing framework at the edge of the network. Edge computing can relieve the burden of centralized cloud computing by performing certain operations, such as data storage and task computation, at the edge of the network. Despite the benefits of edge computing, it can lead to many challenges in terms of security and privacy issues. Thus, services that protect privacy and secure data are essential functions in edge computing. For example, the end user’s ownership and privacy information and control are separated, which can easily lead to data leakage, unauthorized data manipulation, and other data security concerns. Thus, the confidentiality and integrity of the data cannot be guaranteed and, so, more secure authentication and access mechanisms are required to ensure that the microservices are exposed only to authorized users. In this paper, we propose a microservice security agent to integrate the edge computing platform with the API gateway technology for presenting a secure authentication mechanism. The aim of this platform is to afford edge computing clients a practical application which provides user authentication and allows JSON Web Token (JWT)-based secure access to the services of edge computing. To integrate the edge computing platform with the API gateway, we implement a microservice security agent based on the open-source Kong in the EdgeX Foundry framework. Also to provide an easy-to-use approach with Kong, we implement REST APIs for generating new consumers, registering services, configuring access controls. Finally, the usability of the proposed approach is demonstrated by evaluating the round trip time (RTT). The results demonstrate the efficiency of the system and its suitability for real-world applications.
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Caesarendra, Wahyu, Bobby Pappachan, Tomi Wijaya, Daryl Lee, Tegoeh Tjahjowidodo, David Then, and Omey Manyar. "An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0." Applied Sciences 8, no. 11 (November 5, 2018): 2165. http://dx.doi.org/10.3390/app8112165.
Full textAbstract:
The number of studies on the Internet of Things (IoT) has grown significantly in the past decade and has been applied in various fields. The IoT term sounds like it is specifically for computer science but it has actually been widely applied in the engineering field, especially in industrial applications, e.g., manufacturing processes. The number of published papers in the IoT has also increased significantly, addressing various applications. A particular application of the IoT in these industries has brought in a new term, the so-called Industrial IoT (IIoT). This paper concisely reviews the IoT from the perspective of industrial applications, in particular, the major pillars in order to build an IoT application, i.e., architectural and cloud computing. This enabled readers to understand the concept of the IIoT and to identify the starting point. A case study of the Amazon Web Services Machine Learning (AML) platform for the chamfer length prediction of deburring processes is presented. An experimental setup of the deburring process and steps that must be taken to apply AML practically are also presented.
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Tsipis, Athanasios, Asterios Papamichail, Ioannis Angelis, George Koufoudakis, Georgios Tsoumanis, and Konstantinos Oikonomou. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting." Energies 13, no. 14 (July 17, 2020): 3693. http://dx.doi.org/10.3390/en13143693.
Full textAbstract:
Internet of Things (IoT) appliances, especially those realized through wireless sensor networks (WSNs), have been a dominant subject for heavy research in the environmental and agricultural sectors. To address the ever-increasing demands for real-time monitoring and sufficiently handle the growing volumes of raw data, the cloud/fog computing paradigm is deemed a highly promising solution. This paper presents a WSN-based IoT system that seamlessly integrates all aforementioned technologies, having at its core the cloud/fog hybrid network architecture. The system was intensively validated using a demo prototype in the Ionian University facilities, focusing on response time, an important metric of future smart applications. Further, the developed prototype is able to autonomously adjust its sensing behavior based on the criticality of the prevailing environmental conditions, regarding one of the most notable climate hazards, wildfires. Extensive experimentation verified its efficiency and reported on its alertness and highly conforming characteristics considering the use-case scenario of Corfu Island’s 2019 fire risk severity. In all presented cases, it is shown that through fog leveraging it is feasible to contrive significant delay reduction, with high precision and throughput, whilst controlling the energy consumption levels. Finally, a user-driven web interface is highlighted to accompany the system; it is capable of augmenting the data curation and visualization, and offering real-time wildfire risk forecasting based on Chandler’s burning index scoring.
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Saad, Ahmed, Samy Faddel, and Osama Mohammed. "IoT-Based Digital Twin for Energy Cyber-Physical Systems: Design and Implementation." Energies 13, no. 18 (September 12, 2020): 4762. http://dx.doi.org/10.3390/en13184762.
Full textAbstract:
With the emergence of distributed energy resources (DERs), with their associated communication and control complexities, there is a need for an efficient platform that can digest all the incoming data and ensure the reliable operation of the power system. The digital twin (DT) is a new concept that can unleash tremendous opportunities and can be used at the different control and security levels of power systems. This paper provides a methodology for the modelling of the implementation of energy cyber-physical systems (ECPSs) that can be used for multiple applications. Two DT types are introduced to cover the high-bandwidth and the low-bandwidth applications that need centric oversight decision making. The concept of the digital twin is validated and tested using Amazon Web Services (AWS) as a cloud host that can incorporate physical and data models as well as being able to receive live measurements from the different actual power and control entities. The experimental results demonstrate the feasibility of the real-time implementation of the DT for the ECPS based on internet of things (IoT) and cloud computing technologies. The normalized mean-square error for the low-bandwidth DT case was 3.7%. In the case of a high-bandwidth DT, the proposed method showed superior performance in reconstructing the voltage estimates, with 98.2% accuracy from only the controllers’ states.