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1

Ratten, Vanessa. "Cloud Computing Services." International Journal of Cloud Applications and Computing 2, no. 2 (April 2012): 48–58. http://dx.doi.org/10.4018/ijcac.2012040105.

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Cloud computing is an emerging service technology that has ethical and entrepreneurial implications. Due to technological innovations increasing the attention placed on cloud computing services, more people are focusing on the security and privacy issues determined by ethical guidelines and how the technology is evolving as an entrepreneurial service innovation. This paper presents a theoretical perspective on how a person adopts cloud computing. The literature on technology innovation and adoption behaviour is examined with a focus on social cognitive theory. A theoretical framework is then presented, which indicates a number of propositions to describe the intention of a person to adopt cloud computing services. The role of technology marketing capability, sustained learning and outcome expectancy are included in helping to understand the role of cloud computing applications. Suggestions for future research and practical implications are stated.
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Kumar, Dr Vinod, Er Gagandeep Raheja, and Ms Jyoti Sodhi. "CLOUD COMPUTING." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 1 (February 1, 2013): 5–7. http://dx.doi.org/10.24297/ijct.v4i1a.3025.

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Cloud computing is the delivery of computing as a service rather than a product, whereby shared resources, software, and information are provided to computers and other devices as a utility (like the electricity grid) over a network (typically the internet). Cloud computing provides computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Parallel to this concept can be drawn with the electricity grid, wherein end-users consume power without needing to understand the component devices or infrastructure required to provide the service.
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Khan, Nawsher, Noraziah Ahmad, Tutut Herawan, and Zakira Inayat. "Cloud Computing." International Journal of Cloud Applications and Computing 2, no. 3 (July 2012): 68–85. http://dx.doi.org/10.4018/ijcac.2012070103.

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Efficiency (in term of time consumption) and effectiveness in resources utilization are the desired quality attributes in cloud services provision. The main purpose of which is to execute jobs optimally, i.e., with minimum average waiting, turnaround and response time by using effective scheduling technique. Replication provides improved availability and scalability; decreases bandwidth use and increases fault tolerance. To speed up access, file can be replicated so a user can access a nearby replica. This paper proposes architecture to convert Globally One Cloud to Locally Many Clouds. By combining replication and scheduling, this architecture improves efficiency and easy accessibility. In the case of failure of one sub cloud or one cloud service, clients can start using another cloud under “failover” techniques. As a result, no one cloud service will go down.
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Yao, Yulin. "Emerging Cloud Computing Services." International Journal of Organizational and Collective Intelligence 6, no. 4 (October 2016): 98–102. http://dx.doi.org/10.4018/ijoci.2016100105.

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Cloud Computing has offered many services to organizations and individuals. The emerging types of services such as analytics, mobile services and emerging software as a service have been offered but there is a lack of analysis on the current status. Core technologies for emerging Cloud services have been identified and presented. This brief opinion paper provides an overview of the current emerging Cloud services and explains the benefits for several disciplines. Four areas have been identified that may bring in more positive impacts for the future direction.
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Shuang, Liang. "The Design and Realization of Cloud Computing Framework Model Based on SOA." Advanced Materials Research 171-172 (December 2010): 696–701. http://dx.doi.org/10.4028/www.scientific.net/amr.171-172.696.

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Cloud computing is a system which provide hardware services, infrastructure services, platform services, software services, storage services to a variety of Internet applications, and SOA is a component model, it will rely on well-defined interfaces between services and linked contract applications. In this paper, combined cloud computing and SOA together closely to form a cloud computing framework model based on SOA, So that the clouds provide in a simple and flexible way to offer services. And it gives a realization of the model. Experiments show that the model is simple, practical and fully reflects the cloud computing and service-oriented architecture advantages.
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Bhardwaj, Akashdeep, and Sam Goundar. "Unique Taxonomy for Evaluating Fog Computing Services." International Journal of E-Business Research 14, no. 4 (October 2018): 78–90. http://dx.doi.org/10.4018/ijebr.2018100105.

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Cloud computing has slowly but surely become the foremost service provider for information technology applications and platform delivery. However, Cloud issues continue to exist, like cyberattacks, slow last mile latency, and clouds lack client-centric and location-aware applications to process real time data for efficient and customized application delivery. As an alternative, Fog Computing has the potential to resolve these issues by extending the Cloud service provider's reach to the edge of the Cloud network model, right up to the Cloud service consumer. This enables a whole new state of applications and services which increases the security, enhances the cloud experience and keeps the data close to the user. This research article presents a review on the academic literature research work on Fog Computing, introduces a novel taxonomy to classify cloud products based on Fog computing elements and then determine the best fit Fog Computing product to choose for the Cloud service consumer.
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Bankar, Suyog. "Cloud Computing Using Amazon Web Services AWS." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 2156–57. http://dx.doi.org/10.31142/ijtsrd14583.

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Neicu, Andra-Ileana, Anamaria-Cătălina Radu, Gheorghe Zaman, Ivona Stoica, and Florian Răpan. "Cloud Computing Usage in SMEs. An Empirical Study Based on SMEs Employees Perceptions." Sustainability 12, no. 12 (June 18, 2020): 4960. http://dx.doi.org/10.3390/su12124960.

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This paper aims to determine the perception of small and medium-sized enterprises (SMEs) employees regarding the usage of cloud computing services in their activities. The quantitative study was conducted on a sample of 315 respondents employed in Romanian SMEs. Testing of the conceptual model was performed with the WarpPLS 3.0 software. The study aimed to test how several constructs—the perceived benefits, disadvantages and risks, communication process, overall experience of using cloud computing services, perceived image, and empathy regarding the cloud computing services—influence the perception of the cloud computing service quality among SMEs employees. Moreover, employees’ perception regarding the satisfaction of using cloud computing services based on the perceived quality was also tested. We concluded that the perceived benefits and disadvantages of cloud computing service usage, the perception of both the communication process and users’ experience regarding cloud computing service use, empathy, and cloud computing service image positively influence the perceived quality of the cloud computing service usage in SMEs. We did not find evidence that the perceived risks significantly influence the perceived quality of cloud computing services. Finally, we demonstrated that the perceived quality of the cloud computing services positively influences the satisfaction regarding cloud computing services among SMEs employees.
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9

Aazam, Mohammad, and Eui-Nam Huh. "Framework of Resource Management for Intercloud Computing." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/108286.

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There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate with other clouds and share their resources. This scenario is called Intercloud computing or cloud federation. The study on Intercloud computing is still in its start. Resource management is one of the key concerns to be addressed in Intercloud computing. Already done studies discuss this issue only in a trivial and simplistic way. In this study, we present a resource management model, keeping in view different types of services, different customer types, customer characteristic, pricing, and refunding. The presented framework was implemented using Java and NetBeans 8.0 and evaluated using CloudSim 3.0.3 toolkit. Presented results and their discussion validate our model and its efficiency.
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Arun, Lakshna, and T. N. Ravi. "Mobile Cloud Computing: A Literature Survey." Asian Journal of Engineering and Applied Technology 7, no. 2 (November 5, 2018): 80–85. http://dx.doi.org/10.51983/ajeat-2018.7.2.1003.

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Mobile cloud computing (MCC) is the availability of cloud computing services in a mobile environment. By providing optimal services for mobile users, MCC incorporates the elements of mobile networks and cloud computing. In mobile cloud computing, all the data and complicated computing modules can be processed in clouds, and mobile devices do not need a powerful configuration like CPU speed, memory capacity, etc. However, the mobile devices are facing up with many struggles in their resources (e.g., battery life, storage, and bandwidth) and communications (e.g., privacy, mobility, and security). These challenges have a significant effect on the improvement of service qualities. In this paper, a literature survey on the MCC and security issues in MCC has presented.
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Goswami, Veena, Sudhansu Shekhar Patra, and G. B. Mund. "Optimal Management of Cloud Centers with Different Arrival Modes for Cloud Computing Environment." International Journal of Cloud Applications and Computing 2, no. 3 (July 2012): 86–97. http://dx.doi.org/10.4018/ijcac.2012070104.

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Cloud computing is a new computing paradigm in which information and computing services can be accessed from a Web browser by clients. Understanding of the characteristics of computer service performance has become critical for service applications in cloud computing. For the commercial success of this new computing paradigm, the ability to deliver guaranteed Quality of Services (QoS) is crucial. Based on the Service level agreement, the requests are processed in the cloud centers in different modes. This paper analyzes a finite-buffer multi-server queuing system where client requests have two arrival modes. It is assumed that each arrival mode is serviced by one or more Virtual machines, and both the modes have equal probabilities of receiving service. Various performance measures are obtained and optimal cost policy is presented with numerical results. The genetic algorithm is employed to search the optimal values of various parameters for the system.
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Yang, Jian Ning, Jian Kun Yang, and Kun Lin. "The Cloud Computing and the Application of Cloud Computing in the Telecommunication Enterprise." Applied Mechanics and Materials 729 (January 2015): 195–98. http://dx.doi.org/10.4028/www.scientific.net/amm.729.195.

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Cloud computing is a new computing technology and IT service providing method. It development evolved with distributed computing, parallel computing, high-speed network technology. Cloud computing provide robust, high efficiency service capabilities by centralizing management and overall dispatch service resource, and providing services for end users through the consistency of virtual environment have undergone profound changes. It in the service ability of organization and service delivery methods. As the telecommunication enterprise, either from their own business operation system support needs, or from a provider of the high speed network services and integrated information service will benefit from the development of cloud computing.
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13

Zhiyuan, Fang, and Wei Li. "Cloud Service Platform." International Journal of Information Systems in the Service Sector 5, no. 3 (July 2013): 54–62. http://dx.doi.org/10.4018/jisss.2013070104.

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Health Information eXchange (HIX) is a part of Happiness Cloud Service Platform of Happiness Guangdong in Guangdong Province of China based on innovation of cloud-based business model. This article illustrates the hospital health care business services system based on cloud computing. major business functions of HIX includes integrated mobile medical information services, and mobile health information services. Key cloud service platform capabilities include appointment of HIX registration, doctor-patient interaction and Health Manager System, medical statistical analysis, and the other integrated support module including service platform and platform management provided by two major cloud computing technologies of SaaS and PaaS. Medical cloud services of HIX is an innovative business model for cloud computing, that is, the medical and health services provided to the public going though by cloud computing all over Guangdong Province in China.
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14

Tulasi, B. "Market-Oriented Cloud Computing - Delivering IT Services as Computing Utilities." Mapana - Journal of Sciences 8, no. 1 (May 31, 2009): 26–34. http://dx.doi.org/10.12723/mjs.14.4.

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This paper provides information about 21st century vision of computing, identifies various computing paradigms promising to deliver the vision of computing utilities, defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs, Cloud platforms especially those developed in industries along with our current work towards realizing the market-oriented resource allocation of Clouds and concludes with the need for convergence of competing IT paradigms for delivering our 21 st century vision.
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Trivedi, Mayank, and Vishnu Suthar. "Cloud Computing." International Journal of User-Driven Healthcare 3, no. 2 (April 2013): 69–77. http://dx.doi.org/10.4018/ijudh.2013040108.

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Libraries are increasingly adopting cloud computing, a new technology model for Information Technology (IT) services. Cloud computing is of interest to health care professionals as well as health consumers. Health Science libraries maintain more control over the applications and data repositories that contain sensitive, private information about patrons. Provision and maintenance of infrastructure for web-based digital library presents several challenges. It allows them to avoid locally hosting multiple servers, housing massive equipment and constantly dealing with hardware failure, software installs, upgrades and compatibility issues. This paper describes the concept, current status of cloud computing and its application in health science libraries. Then it proposed to improve current user service via cloud computing.
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Kaur, Tajinder. "Cloud Computing: A Study of the Cloud Computing Services." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 1933–38. http://dx.doi.org/10.22214/ijraset.2019.6325.

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17

Sreenivas, V., S. Sriharsha, and C. Narasimham. "A Cloud Model to Implement SaaS." Advanced Materials Research 341-342 (September 2011): 499–503. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.499.

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Cloud computing is a paradigm where tasks are assigned to a combination of connections, software and services accessed over a network. Clouds provide processing power, which is made possible through distributed computing. Cloud computing can be seen as a traditional desktop computing model, where the resources of a single desktop or computer used to complete tasks, and an expansion of the client/server model. The paper describes a model for cloud computing to implement software as a service (SaaS).
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18

yang, Song. "Research on Innovation of Financial Management Model Based on Cloud Computing." E3S Web of Conferences 214 (2020): 03037. http://dx.doi.org/10.1051/e3sconf/202021403037.

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Against the background of the rapid development of big data and big data analysis technologies, cloud computing service providers provide services to enterprises and individuals. In many large enterprises, by setting up a cloud computing platform environment, multiple services within the enterprise are placed on the cloud platform to provide resource sharing services for various departments. With the dramatic improvement in computing performance of computer clusters, big data and cloud computing technologies are maturing. We combine cloud computing with financial management services, and use modern technical means to innovate financial management models; we will change the financial management model of enterprises by building financial sharing service centers, thereby providing more efficient financial management services. Based on the research of cloud computing technology, this paper expounds the application of cloud computing in financial sharing, and explores the transformation of financial management models in the context of cloud computing. Fully clarify the principles and procedures for the construction of financial sharing service centers based on cloud computing, and discuss the basic structure of financial cloud management. Finally, we discuss the operation model of financial management based on cloud computing to provide a reference for researchers in financial management.
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He, Dan Dan, Fang Qin, and Can Wang. "Application of Cloud Counting in Product Platform Design Services Research." Applied Mechanics and Materials 513-517 (February 2014): 1765–68. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1765.

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Product platform is a key theory in mass customization method, and it can satisfy diversely customer needs at high efficiency service and reduce enterprise product development costs. This dissertation explores the product platform development routing and design ability service and resources virtualization and other key technologies in the migration process of product platform to cloud platform in the background of computing clouds technology and product platform theory. It proposes the product platform design service architecture based on cloud computing and its design service modes and the related key technology to the study, including product platform resources virtualization in cloud computing environment and product family design ability services technology and product platform cloud data center retrieval technology, etc.
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Li, Qin. "Research on Cloud Computing Services in Data Security Issues." Applied Mechanics and Materials 687-691 (November 2014): 3032–35. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3032.

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This paper describes cloud computing services, analyzes the types of services and cloud computing services corresponding structural model; research focus on cloud computing data security issues were discussed in the service mode.
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Satish Kumar, Satish Kumar, and Nagesh Salimath. "A Survey on Cloud Computing and its Services." International Journal of Scientific Research 2, no. 11 (June 1, 2012): 113–14. http://dx.doi.org/10.15373/22778179/nov2013/36.

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Girdher, Heena, and Jagjit Kaur. "An Insight into Cloud Computing Paradigm and Services." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 1573–75. http://dx.doi.org/10.31142/ijtsrd14450.

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23

Sheela Gowr, P., and N. Kumar. "Cloud computing security: a survey." International Journal of Engineering & Technology 7, no. 2.21 (April 20, 2018): 355. http://dx.doi.org/10.14419/ijet.v7i2.21.12439.

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Cloud computing was a hasting expertise which has innovated to a collection of new explores. A sub-ordinate device for Information services, it has an ability towards encourage development by feeding convenient environments for a choice of forms of development is different sequence. Clouds usually consider being eco-friendly, however keep it has open to the diversity of some security issues to can change together the feeder as well as users of these cloud services. In this issue are principally associated to the protection of the information flow throughout also being store in the cloud, with simple problems along with data ease of use, data right to use and data confidentiality. Data encryption and service authentication scheme has been initiated by the industries to deal with them. In this paper analyse and examine different issues on security beside with the different procedure worn by the industries to solve these effects.
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Kumar, Lalit, Dr Gurdev Singh, and Prince Jain. "Cloud Implementation and Cloud Integration." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 1 (February 2, 2012): 1–5. http://dx.doi.org/10.24297/ijct.v2i1.2604.

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Cloud computing is innovated model which deliversconvenient and on-demand computing services over internetto requested end users. Cloud service engineering is adiscipline that combines the business and technology thinkingfor purposes of engineering a cloud. The structure of cloudservice engineering plays an important role in order to createusable and economic cloud. The cloud development life cycle(CDLC) is the one of the component in structure of cloudengineering along with Base, Tools & Techniques andManagement components. CDLC consists of six phases thatare flexible, isolated executable and having feedback. Thework of this paper focuses on the cloud Implementation andIntegration phase of the CDLC. The cloud implementation isrelated to actual creation, enablement of the cloud services ofa computing system. The cloud integration performs the taskof integrating the various cloud solution in one cloudenvironment and deploys various resource, web service andapplications to the cloud.
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Zhang, Yuan, and Lei Huang. "The Research of Cloud Computing Service Model." Applied Mechanics and Materials 556-562 (May 2014): 6262–65. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6262.

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Cloud computing is developing rapidly in recent years. Everyone is talking about cloud computing that provide large scale service to replace computers and software. Cloud computing has already become the development trend of present IT circles. This paper explains the basics of Cloud computing, analyzes the difference of cloud computing services, and points out the characteristics of the cloud computing services.
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Adjei, Joseph Kwame. "Explaining the role of trust in cloud computing services." info 17, no. 1 (January 12, 2015): 54–67. http://dx.doi.org/10.1108/info-09-2014-0042.

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Purpose – The purpose of this paper is to explain the role of trust in cloud computing services based on empirical evidence from interviewing executives of financial institutions in Ghana. The paper answers the questions: what is the role of trust in cloud computing service acquisition, and what policies promote trusted cloud computing services? Design/methodology/approach – This is an explanatory paper that is based on literature review and empirical data on exploring reasons for cloud computing service acquisitions. A combination of interviews and focus group discussions was used as methods for data collection. Information technology and electronic banking executives of five major commercial banks in Accra, Ghana, between January and July 2013 were interviewed. A total of ten respondents were interviewed, two in each of the selected banks. A purposive sampling technique was used in the selection of informants. This approach allows the selection of qualified informants to ensure extensiveness and diversity of opinion. Findings – Although previous literature proffers various factors as key to cloud computing adoption, uses or provisioning, this study brings trust to the fore as an imperative for cloud computing service acquisition by financial institutions. It also shows that trust increases if users perceive that cloud computing service providers act in honesty and in users’ interest, making trust a fundamental factor that informs financial institutions’ decision to acquire cloud computing services. Research limitations/implications – The research introduces a new dimension about the widely held perceptions of the factors that influence adoption of cloud computing services. Practical implications – Developers of cloud computing solutions that are targeted at corporate users must focus on systems that enhances their trustworthiness, as it is a primary criteria for user buy-in. Similarly, any trust-building effort by cloud computing service providers minimizes users’ concerns and pushes the services providers closer to the trust threshold. Originality/value – The paper outlines the trust factors that are imperative for cloud computing uses by financial institutions. This is one of the pioneering papers that address trust issues in cloud computing from the perspective of financial institutions.
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Sasikala, P. "Cloud Computing Towards Technological Convergence." International Journal of Cloud Applications and Computing 1, no. 4 (October 2011): 44–59. http://dx.doi.org/10.4018/ijcac.2011100104.

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With the popularization and improvement of social and industrial IT development, information appears to explosively increase, and people put much higher expectations on the services of computing, communication and network. Today’s public communication network is developing in the direction that networks are widely interconnected using communication network infrastructure as backbone and Internet protocols; at the same time, cloud computing, a computing paradigm in the ascendant, provides new service modes. Communication technology has the trend of developing towards computing technology and applications, and computing technology and applications have the trend of stepping towards service orientation architecture. Communication technology and information technology truly comes to a convergence. Telecom operators are planning to be providers of comprehensive information services in succession. To adopt cloud computing technology not only facilitates the upgrade of their communication network technology, service platform and supporting systems, but also facilitates the construction of the infrastructure and operating capacity of providing comprehensive information services. In this paper, the development processes of public communication network and computing are reviewed along with some new concepts for cloud computing.
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Goeke, Ludger, Nazila Gol Mohammadi, and Maritta Heisel. "Context Analysis of Cloud Computing Systems Using a Pattern-Based Approach." Future Internet 10, no. 8 (July 31, 2018): 72. http://dx.doi.org/10.3390/fi10080072.

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Cloud computing services bring new capabilities for hosting and offering complex collaborative business operations. However, these advances might bring undesirable side-effects, e.g., introducing new vulnerabilities and threats caused by collaboration and data exchange over the Internet. Hence, users have become more concerned about security and privacy aspects. For secure provisioning of a cloud computing service, security and privacy issues must be addressed by using a risk assessment method. To perform a risk assessment, it is necessary to obtain all relevant information about the context of the considered cloud computing service. The context analysis of a cloud computing service and its underlying system is a difficult task because of the variety of different types of information that have to be considered. This context information includes (i) legal, regulatory and/or contractual requirements that are relevant for a cloud computing service (indirect stakeholders); (ii) relations to other involved cloud computing services; (iii) high-level cloud system components that support the involved cloud computing services; (iv) data that is processed by the cloud computing services; and (v) stakeholders that interact directly with the cloud computing services and/or the underlying cloud system components. We present a pattern for the contextual analysis of cloud computing services and demonstrate the instantiation of our proposed pattern with real-life application examples. Our pattern contains elements that represent the above-mentioned types of contextual information. The elements of our pattern conform to the General Data Protection Regulation. Besides the context analysis, our pattern supports the identification of high-level assets. Additionally, our proposed pattern supports the documentation of the scope and boundaries of a cloud computing service conforming to the requirements of the ISO 27005 standard (information security risk management). The results of our context analysis contribute to the transparency of the achieved security and privacy level of a cloud computing service. This transparency can increase the trust of users in a cloud computing service. We present results of the RestAssured project related to the context analysis regarding cloud computing services and their underlying cloud computing systems. The context analysis is the prerequisite to threat and control identification that are performed later in the risk management process. The focus of this paper is the use of a pattern at the time of design systematic context analysis and scope definition for risk management methods.
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Xie, Hui Juan, Wei She, and Chang Hao Han. "Shamir's Threshold Scheme to Ensure Security in Cloud Computing Services." Applied Mechanics and Materials 543-547 (March 2014): 3632–35. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3632.

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Cloud computing system preserves the security and privacy of a user's data by replicating data among several clouds and by using the secret sharing approach. It uses the database management system DBMS (data source) to manage and control the operations between the clients and them ulti-clouds inside a cloud service provider [1]. Generally speaking, The Shamir's threshold scheme is suitable for the shares in the cloud computing. The Shamir's threshold scheme as a secret sharing scheme will attract more attention in the cloud computing in future.
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Pang, Beibei, Fei Hao, Doo-Soon Park, and Carmen De Maio. "A Multi-Criteria Multi-Cloud Service Composition in Mobile Edge Computing." Sustainability 12, no. 18 (September 16, 2020): 7661. http://dx.doi.org/10.3390/su12187661.

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The development of mobile edge computing (MEC) is accelerating the popularity of 5G applications. In the 5G era, aiming to reduce energy consumption and latency, most applications or services are conducted on both edge cloud servers and cloud servers. However, the existing multi-cloud composition recommendation approaches are studied in the context of resources provided by a single cloud or multiple clouds. Hence, these approaches cannot cope with services requested by the composition of multiple clouds and edge clouds jointly in MEC. To this end, this paper firstly expands the structure of the multi-cloud service system and further constructs a multi-cloud multi-edge cloud (MCMEC) environment. Technically, we model this problem with formal concept analysis (FCA) by building the service–provider lattice and provider–cloud lattice, and select the candidate cloud composition that satisfies the user’s requirements. In order to obtain an optimized cloud combination that can efficiently reduce the energy consumption, money cost, and network latency, the skyline query mechanism is utilized for extracting the optimized cloud composition. We evaluate our approach by comparing the proposed algorithm to the random-based service composition approach. A case study is also conducted for demonstrating the effectiveness and superiority of our proposed approach.
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31

Khan, Nawsher, A. Noraziah, Elrasheed I. Ismail, Mustafa Mat Deris, and Tutut Herawan. "Cloud Computing." International Journal of E-Entrepreneurship and Innovation 3, no. 2 (April 2012): 51–59. http://dx.doi.org/10.4018/jeei.2012040104.

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Cloud computing is fundamentally altering the expectations for how and when computing, storage, and networking resources should be allocated, managed, consumed, and allow users to utilize services globally. Due to the powerful computing and storage, high availability and security, easy accessibility and adaptability, reliable scalability and interoperability, cost and time effective cloud computing is the top, needed for current fast growing business world. A client, organization or a trade that adopting emerging cloud environment can choose a well suitable infrastructure, platform, software, and a network resource, for any business, where each one has some exclusive features and advantages. The authors first develop a comprehensive classification for describing cloud computing architecture. This classification help in survey of several existing cloud computing services developed by various projects globally such as Amazon, Google, Microsoft, Sun and Force.com and by using this survey’s results the authors identified similarities and differences of the architecture approaches of cloud computing.
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Barolli, Leonard, Xiaofeng Chen, and Fatos Xhafa. "Advances on cloud services and cloud computing." Concurrency and Computation: Practice and Experience 27, no. 8 (October 9, 2014): 1985–87. http://dx.doi.org/10.1002/cpe.3414.

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Yang, Shengju. "One Implementation Method of Trust Evaluation Tool Used on Cloud Computing Service." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 12, no. 3 (June 10, 2019): 223–31. http://dx.doi.org/10.2174/2352096511666180528075030.

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In order to solve the trust problems between users and cloud computing service providers in cloud computing services, the existing trust evaluation technology and access control technology in the cloud computing service are analyzed. And the evaluation index of cloud computing is also analyzed. Users can calculate the relevant indicators of cloud computing service according to their own business goals, and choose the appropriate cloud computing services according to their own trust need. In addition, the reliability assessment method of users based on the service process is proposed. Cloud computing access control system can be used for user credibility evaluation, and it can handle user access requests according to user's creditability. In the study, a cloud computing service trust evaluation tool is designed, and the modeling and architecture designs of trust evaluation are also given. The effectiveness of the method is verified by experiments on cloud computing service evaluation methods.
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34

Chang, Victor I. C. "A Proposed Framework for Cloud Computing adoption." International Journal of Organizational and Collective Intelligence 6, no. 3 (July 2016): 75–98. http://dx.doi.org/10.4018/ijoci.2016070105.

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This paper presents a review related to Cloud Computing focusing on Cloud business requirements. From the review the author recommends a number of methods managing Cloud services and evaluating its service performance, including the use of a pair of the Hexagon Models. Three organizational challenges of Cloud adoption are identified: (i) Organizational Sustainability; (ii) Portability and (iii) Linkage. The Cloud Computing Adoption Framework (CCAF) is designed to deal with these challenges by helping organizations to achieve good Cloud designs, deployment and services. How these three challenges are addressed by the CCAF is demonstrated using case studies. Services implemented by CCAF are reviewed using the Hexagon Models for comparison. This paper provides recommendations to help organizations, researchers and practitioners to understand Cloud business context, to measure their risk and return analysis, to migrate their services to Cloud from all types and to connect and integrate different services as a single service.
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35

Zhang, Jie, Li Wen He, Fei Yi Huang, and Bin Liu. "Service Discovery Architecture Applied in Cloud Computing Environments." Applied Mechanics and Materials 241-244 (December 2012): 3177–83. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.3177.

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This paper proposed a service discovery architecture (SDA) that can be applied in cloud computing environments. This architecture supports common service discovery capabilities to achieve cloud service discovery function in cloud computing environments. The main idea is that, cloud services can be divided into different cloud service domains (CSD) according to the characteristics of the functions of cloud services, each CSD has a sub-service directory, and there is also a root service directory above all sub-service directories. Setting of two-level service directories can achieve the most suitable massive cloud services quickly. Finally, through mathematical modeling, theoretical analyses, and numerical simulations, the performance analyses of the architecture are studied. The results show the validity and advantages of the SDA.
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36

Sheikhgasanov, Shamsutdin Kadievich, and Yury Vasil'evich Kolotilov. "Methods for achieving energy efficiency in cloud computing." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2020, no. 2 (April 30, 2020): 77–83. http://dx.doi.org/10.24143/2072-9502-2020-2-77-83.

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The article considers the problem of cloud computing - the environment of data storage and processing that provides access to resources shared among multiple users. Cloud computing is a model for organizing remote access on request for a shared set of configurable computing resources that can be quickly allocated and freed with minimal management or interaction costs with the service provider. Using clouds significantly reduces the costs of large industrial companies and enterprises. Cloud technology helps scale your business quickly and with minimal cost, they can improve productivity together with simplifying many business processes. Cloud computing is vastly expanding opportunities, so that all large companies today are actively switching to cloud services. But this causes significant problems with energy consumption. The energy consumption by cloud computing remains a serious problem, as data processing centers grow in size. There has been proposed the approach to choosing an energy-efficient cloud architecture that aims to reduce the energy consumption of cloud applications in all deployment models, the architectures of cloud infrastructures being given. The architecture supports energy efficiency in building, deploying and operating services.
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37

Mishra, anju. "Reliability of Cloud Computing Services." IOSR Journal of Engineering 4, no. 1 (January 2014): 51–60. http://dx.doi.org/10.9790/3021-04175160.

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38

Mohamadi, Ahad. "Cloud Computing and Online Services." Kuwait Chapter of Arabian Journal of Business and Management Review 3, no. 4 (December 2013): 67–76. http://dx.doi.org/10.12816/0018162.

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39

Sharma, Manju. "Cloud Computing Architecture& Services." IOSR Journal of Computer Engineering 19, no. 02 (March 2017): 13–18. http://dx.doi.org/10.9790/0661-1902031318.

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40

Khasnabish, Bhumip, Dijiang Huang, Xiaoying Bai, Paolo Bellavista, Gregorio Martinez, and Nick Antonopoulos. "Cloud Computing, Networking, and Services." Journal of Network and Systems Management 20, no. 4 (September 9, 2012): 463–67. http://dx.doi.org/10.1007/s10922-012-9254-0.

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41

Kim, Seung-Hyun, and Jin Ki Kim. "Determinants of the adoption of mobile cloud computing services." Information Development 34, no. 1 (October 12, 2016): 44–63. http://dx.doi.org/10.1177/0266666916673216.

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The quantity and popularity of mobile cloud computing services have increased significantly. From the principal-agent perspective, this study proposes a model to determine the adoption of mobile cloud computing services. In the model, three uncertainty antecedents of mobile cloud computing utilization are included: fears of service provider opportunism, perceived information asymmetry, and information privacy and security concerns. Likewise, three motivators are included: trust, convenience, and social presence. Based on 263 observations of mobile cloud computing users, the study identifies that trust and convenience are motivators and perceived uncertainty is a mitigator for adopting mobile cloud computing services.
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42

Sasikala, P. "Cloud Computing and E-Governance." International Journal of Cloud Applications and Computing 2, no. 4 (October 2012): 32–52. http://dx.doi.org/10.4018/ijcac.2012100103.

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Cloud computing provides a new service consumption and delivery model inspired by Consumer Internet Services. Cloud computing drives down costs and accelerates cost reduction benefit. Cloud is making rapid inroads in several sectors and e-Governance is the latest in this direction. e-Governance with cloud computing offers integration management with automated problem resolution, manages security end to end, and helps budget based on actual usage of data. At a global level, Cloud architectures can benefit government to reduce duplicate efforts and increase effective utilization of resources, helping the government go green and reducing pollution and effective waste management. In this paper, the authors describe how this newly emerged paradigm of cloud computing can be helpful for e-Governance. It also describes the role of cloud computing standards and architectures in framing a good e-Governance strategy to realize e-Government. Governments have been slower in realizing the potential benefits of the Information Technology to provide e-services. E-services are delivering cost-effective services, which can drive the growth of the economy and government productivity.
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43

Falah, Muhammad Fajrul, Yohanes Yohanie Fridelin Panduman, Sritrusta Sukaridhoto, Arther Wilem Cornelius Tirie, M. Cahyo Kriswantoro, Bayu Dwiyan Satria, and Saifudin Usman. "Comparison of cloud computing providers for development of big data and internet of things application." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1723. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1723-1730.

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The improved technology of big data and the internet of things (IoT) increases the number of developments in the application of smart city and Industry 4.0. Thus, the need for high-performance cloud computing is increasing. However, the increase in cloud computing service providers causes difficulties in determining the chosen service provider. Therefore, the purpose of this study is to make comparisons to determine the criteria for selecting cloud computing services following the system architecture and services needed to develop IoT and big data applications. We have analyzed several parameters such as technology specifications, model services, data center location, big data service, internet of things, microservices architecture, cloud computing management, and machine learning. We use these parameters to compare several cloud computing service providers. The results present that the parameters able to use as a reference for choosing cloud computing for the implementation of IoT and big data technology.
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44

Rasina Begum, B., and P. Chithra. "Cloud Based Secured Log Retrieval Using Fully Homomorphic Encryption." Asian Journal of Engineering and Applied Technology 9, no. 1 (May 5, 2020): 13–17. http://dx.doi.org/10.51983/ajeat-2020.9.1.1084.

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Cloud computing provides a scalable platform for growing amount of data and processes that work on various applications and services by means of on-demand service providing. The storage services offered by clouds have become a new profit growth by providing a comparably cheapest, scalable, location-independent platform for managing users’ data. Client uses the cloud storage and enjoys the high-quality applications and services from a shared pool of configurable computing resources using cloud services. It reduces the trouble of local data storage and maintenance. But it gives severe security threats toward users’ outsourced data. Maintaining the log record securely over extended period is very crucial to the proper functioning of any organization. Log holds the record of system events specially user activities. It is the main target for malicious attackers. An attacker, breaking into a system would not try to leave traces of his or her activities behind. This proposed work mainly concentrates on the problem of log security in cloud computing system and using fully homomorphism encryption algorithm in the cloud computing log data.
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Park, Joonseok, Ungsoo Kim, Donggyu Yun, and Keunhyuk Yeom. "Approach for Selecting and Integrating Cloud Services to Construct Hybrid Cloud." Journal of Grid Computing 18, no. 3 (May 13, 2020): 441–69. http://dx.doi.org/10.1007/s10723-020-09519-x.

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Abstract With the popularization of cloud computing, various cloud services have emerged, and hybrid clouds that can take advantage of combining public and private clouds are attracting attention. However, because of their variety, determining a combination of cloud services suited to the user’s current environment and requirements is expensive when deploying a hybrid cloud. Even if the required services are available, there is a lack of tools to connect them, manage them in batches, and utilize the integrated environment. To solve these problems, this paper proposes a cloud selection and integration process (C-SIP), which selects and integrates a combination of cloud services through a hybrid cloud service broker (hybrid CSB), which is an automation solution supporting hybrid cloud deployment. Moreover, the proposed method is realized using a script including the application programming interface of each cloud service. The proposed C-SIP will be used as a core approach toward the hybrid CSB, which is expected to facilitate the introduction of hybrid clouds and the acquisition of cloud strategies.
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46

Zheng, Cong, and Li Qing Zhou. "Cost Analysis of Cloud Computing Services." Advanced Materials Research 926-930 (May 2014): 3778–81. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3778.

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After the development of decades cloud computing has landed from the cloud and formed a certain scale. Successful examples of the use of cloud computing to reduce operational costs attract many companies. But the comparison for price of cloud computing services and self-built server is not clear and hidden costs of cloud computing services is also not clear. This paper will compare the cost of cloud computing services and self-built server price and analyzed the hidden costs for users as accessing cloud computing decision-making.
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47

Irfan, Muhammad, and Hong Zhu. "Requirement Analysis and Identification of Challenges and Issues for RTDBs in Cloud Computing." Applied Mechanics and Materials 241-244 (December 2012): 3067–70. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.3067.

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Cloud computing is baseline to invent next generation systems. As computer science is progressing by steps of cloud computing, same as requirements gathering, analysis in cloud computing getting more potential. The cloud computing enables services to fulfill requirements of cloud end-user, according to service level agreements. Data services over cloud also getting more potential especially real-time database systems are more critical to meet customer requirements over cloud. We will elaborate and present detailed analysis about requirements for real-time database systems over cloud, as well identify challenges and issues for RTDBs (real-time database systems) in cloud computing. There is need to ensure quality of service (QoS) as guaranty to meet requirements of RTDBs.
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48

Roobini, M. S., Selvasurya Sampathkumar, Shaik Khadar Basha, and Anitha Ponraj. "Serverless Computing Using Amazon Web Services." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3581–85. http://dx.doi.org/10.1166/jctn.2020.9235.

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In the last decade cloud computing transformed the way in which we build applications. The boom in cloud computing helped to develop new software design and architecture. Helping the developers to focus more on the business logic than the infrastructure. FaaS (function as a service) compute model it gave developers to concentrate only on the application code and rest of the factors will be taken care by the cloud provider. Here we present a serverless architecture of a web application built using AWS services and provide detail analysis of lambda function and micro service software design implemented using these AWS services.
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49

Namose, Prof M. S. "Profit Maximization for Cloud Broker in Cloud Computing." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 10, 2021): 354–59. http://dx.doi.org/10.22214/ijraset.2021.36278.

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As cloud computing evolves, more and more applications are moving to the cloud. Cloud brokers are are like Middlemen between cloud service providers and cloud users. Thus, cloud brokers can significantly reduce the cost of consumers. In addition to reducing the cost per user, the cloud broker can also accommodate the price difference between on-demand virtual machines and dedicated virtual machines. The problem with the current system is that if many customers request a large amount of cloud services at once, the cloud service broker cannot purchase enough cloud services from CSP to meet the needs of all customers. Then there is a peak demand problem where the customer cannot complete the job. As a result, dynamic conditions not only lead to financial problems, but can also negatively impact the customer experience. To solve this problem, the system focuses on guaranteed quality of service for all requests, reduces waste of resources, increases security and maximizes revenue. All jobs are scheduled by the job scheduler and assigned to different VMs in a centralized way. Many factors such as market demand, application volume, SLA, service rental cost, etc. are taken into account to formulate an optimal configuration problem of profit maximization.
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Mohammed, Fathey, Abdullah Marish Ali, Abdullah Saad Al-Malaise Al-Ghamdi, Fawaz Alsolami, Siti Mariyam Shamsuddin, and Fathy E. Eassa. "Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions." Symmetry 12, no. 8 (August 13, 2020): 1354. http://dx.doi.org/10.3390/sym12081354.

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Cloud computing offers new features of sharing resources and applications to meet users’ computing requirements. It is a model by which the users can access computing resources as services offered on the Internet (cloud services). Cloud service providers offer a highly diverse range of asymmetric cloud services with heterogeneous features, which makes it difficult for the users to find the best service that fits his needs. Many research studies have been done on cloud service discovery, and several models and solutions that applied different techniques have been proposed. This paper aims at presenting the state of the art in the area of cloud services discovery by exploring the current approaches, techniques, and models. Furthermore, it proposes a taxonomy of cloud service discovery approaches. An integrative review approach was used to explore the related literature. Then, by analyzing the existing cloud service discovery solutions, a taxonomy of discovery approaches was suggested based on several perspectives including the discovery environment and the discovery process methods. The proposed taxonomy allows easily classifying and comparing cloud services discovery solutions. Moreover, it may reveal issues and gaps for further research and expose new insights for more innovative and effective cloud services discovery solutions.
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