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dc.contributor.authorShi, Weisongen
dc.contributor.authorPallis, Georgeen
dc.contributor.authorXu, Zhiweien
dc.creatorShi, Weisongen
dc.creatorPallis, Georgeen
dc.creatorXu, Zhiweien
dc.date.accessioned2021-01-22T10:47:45Z
dc.date.available2021-01-22T10:47:45Z
dc.date.issued2019
dc.identifier.issn1558-2256
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62415
dc.description.abstractIn recent years, with the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the number of edge devices and the data generated from the edge have been growing rapidly. According to International Data Corporation (IDC) prediction [20], global data will reach 180 zettabytes (ZB), and 70% of the data generated by IoT will be processed on the edge of the network by 2025. IDC also forecasts that more than 150 billion devices will be connected worldwide by 2025. In this case, the centralized processing mode based on cloud computing is not efficient enough to handle the data generated by the edge. The centralized processing model uploads all data to the cloud data center through the network and leverages its supercomputing power to solve the computing and storage problems, which enables the cloud services to create economic benefits. However, in the context of IoT, traditional cloud computing has several shortcomings.en
dc.sourceProceedings of the IEEEen
dc.titleEdge Computing [Scanning the Issue]en
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/JPROC.2019.2928287
dc.description.volume107
dc.description.issue8
dc.description.startingpage1474
dc.description.endingpage1481
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.contributor.orcidPallis, George [0000-0003-1815-5468]
dc.gnosis.orcid0000-0003-1815-5468


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