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Research on Convergence of Internet-of-Things and Cloud Computing
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 Title & Authors
Research on Convergence of Internet-of-Things and Cloud Computing
Choi, Kyung; Kim, Mihui;
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 Abstract
Internet of Things (IoTs) technologies have been computerized information generated from a variety of objects and humans, and have been applied to various fields by connecting via the Internet. In order to compensate for the marginal characteristics of IoT smart devices, such as low-power, limited processing and capacities, combining IoT and cloud computing technologies is now established itself as one of the paradigms. In this paper, we look at the definition, features and services of IoT and cloud computing technology, and we investigate and analyze the conversing needs of IoT and could computing, existing conversion paradigms, convergence cases, and platforms. In results, there are challenges to be solved, even though the cloud technologies complement a number of restrictions of IoT and offer various advantages such as scalability, interoperability, reliability, efficiency, availability, security, ease of access, ease of use, and reduced cost of deployment. We analyze the new research issues of convergence paradigm, and finally suggest a research challenges for convergence.
 Keywords
Internet-of-Thing (IoT);Cloud Computing;Convergence;Research Trend;
 Language
Korean
 Cited by
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