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dc.contributor.authorCerritos, Eduardoen_US
dc.contributor.authorLin, Fuchun Josephen_US
dc.contributor.authorde la Bastida, Daviden_US
dc.date.accessioned2017-04-21T06:50:10Z-
dc.date.available2017-04-21T06:50:10Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-4799-6664-6en_US
dc.identifier.issn1550-3607en_US
dc.identifier.urihttp://hdl.handle.net/11536/134303-
dc.description.abstractInternational standards such as ETSI SmartM2M and oneM2M have defined a client-server model as the common service architecture for IoT/M2M systems. Moreover, the IoT/M2M servers are normally provisioned in a cloud environment. This paper proposes a highly scalable architecture for all such cloud-based IoT/M2M systems. The uniqueness of our architecture is the incorporation of a Master Node in the cloud that is aware of system resources and incoming traffic so that it not only can dynamically decide load balancing policies but also proactively react to scalability needs. When compared with other cloud implementations without such a Master Node, our proposed system achieves faster response time and lower energy consumption.en_US
dc.language.isoen_USen_US
dc.subjectCloud Computingen_US
dc.subjectInternet of Thingsen_US
dc.subjectMachine to Machine communicationsen_US
dc.subjectScalabilityen_US
dc.titleHigh Scalability for Cloud-Based IoT/M2M Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.department電機資訊國際碩士學位學程zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentEECS International Graduate Program-Masteren_US
dc.identifier.wosnumberWOS:000390993202083en_US
dc.citation.woscount0en_US
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