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dc.contributor.authorde la Bastida, Daviden_US
dc.contributor.authorLin, Fuchun Josephen_US
dc.date.accessioned2020-10-05T02:00:31Z-
dc.date.available2020-10-05T02:00:31Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-5386-3416-5en_US
dc.identifier.issn1542-1201en_US
dc.identifier.urihttp://hdl.handle.net/11536/155036-
dc.description.abstractIn this research, we have extended our initial effort in cloud-based IoT/M2M system scalability and developed a more robust solution by considering diverse QoS requirements from various IoT/M2M traffic patterns. Though our initial effort created a highly scalable architecture for IoT/M2M platforms based on OpenStack, it treated all IoT/M2M traffic without any discrepancy in the same underlying network (i.e. in the same network slice). Now, by leveraging software-defined networking in OpenStack and by using our traffic-slice optimal matching algorithm, we can direct different types of IoT traffic to feasible network slices in terms of QoS. Our experiments show that when compared with a system without network slicing, our scalability system performs better in terms of response time, power consumption, and computational cost.en_US
dc.language.isoen_USen_US
dc.subjectCloud Computingen_US
dc.subjectInternet of Thingsen_US
dc.subjectScalabilityen_US
dc.subjectOpenStacken_US
dc.subjectNetwork Slicingen_US
dc.subjectQoS Matchingen_US
dc.subjectSDNen_US
dc.titleExtending IoT/M2M Scalability by Network Slicingen_US
dc.typeProceedings Paperen_US
dc.identifier.journalNOMS 2018 - 2018 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUMen_US
dc.citation.spage0en_US
dc.citation.epage0en_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:000541820800142en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper