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dc.contributor.authorTseng, Chih-Lungen_US
dc.contributor.authorLin, Fuchun Josephen_US
dc.date.accessioned2019-12-13T01:12:50Z-
dc.date.available2019-12-13T01:12:50Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-4673-9944-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/153271-
dc.description.abstractAs more and more IoT/M2M devices are connected to the Internet, the IoT/M2M platforms normally deployed in the Cloud are increasingly overloaded with a large amount of data traffic. Though more resources in the cloud may be allocated to alleviate such overloading issues, this research proposes the alternative of utilizing Fog computing to extend the scalability of IoT/M2M platforms in the cloud. The Fog is used not only to offload the over congested cloud but also to provide low latency required by critical applications. Our first step is to migrate oneM2M, a global IoT/M2M platform, to a Fog computing architecture in which the middle nodes of oneM2M are organized into a highly scalable hierarchical container-based Fog nodes. We then design a mechanism to dynamically scale in/out the serving instances of the middle nodes in order to make the whole IoT/M2M platform more scalable. The paper illustrates our system design and demonstrates our system scalability capacity using an industrial IoT (IIoT) use case. Finally, we compare the performance of our dynamic scaling mechanism with those based on a static and fixed pool of serving instances.en_US
dc.language.isoen_USen_US
dc.subjectScalabilityen_US
dc.subjectFog Computingen_US
dc.subjectoneM2Men_US
dc.subjectIoTen_US
dc.subjectM2Men_US
dc.subjectIIoTen_US
dc.subjectcontaineren_US
dc.titleExtending Scalability of IoT/M2M Platforms with Fog Computingen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2018 IEEE 4TH WORLD FORUM ON INTERNET OF THINGS (WF-IOT)en_US
dc.citation.spage825en_US
dc.citation.epage830en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000492762400145en_US
dc.citation.woscount1en_US
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