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dc.contributor.authorChang, Hung-Chengen_US
dc.contributor.authorQiu, Bo-Junen_US
dc.contributor.authorChiu, Chen-Haoen_US
dc.contributor.authorChen, Jyh-Chengen_US
dc.contributor.authorLin, Fuchun Josephen_US
dc.contributor.authorde la Bastida, Daviden_US
dc.contributor.authorLin, Bao-Shuh Paulen_US
dc.date.accessioned2020-10-05T02:00:30Z-
dc.date.available2020-10-05T02:00:30Z-
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/11536/155032-
dc.description.abstractVirtualizing the EPC (Evolved Packet Core) in modern carrier-grade networks provides more flexible and reliable network services by decoupling dependence on the hardware. Hypervisor and container are two popular virtualization techniques nowadays to enable virtualization of EPC. In this paper, we compared the Open5GCore, a 5G EPC prototype, over KVM and Docker, which are representatives of the hypervisor and container techniques. Moreover, to verify how each supports new services for Internet of Things (IoT) and Machine-to-Machine (M2M) communications, we also analyze the performance of two systems with the IoT and M2M traffic generated by Open5GMTC, a prototype tool for IoT/M2M platforms.en_US
dc.language.isoen_USen_US
dc.subject5Gen_US
dc.subjectEPCen_US
dc.subjectvirtualizationen_US
dc.subjectNFVen_US
dc.subjectKVMen_US
dc.subjectDockeren_US
dc.subjectIoTen_US
dc.subjectM2Men_US
dc.subjectOpen5GCoreen_US
dc.subjectOpen5GMTCen_US
dc.titlePerformance Evaluation of Open5GCore over KVM and Docker by Using Open5GMTCen_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交大名義發表zh_TW
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.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.contributor.departmentEECS International Graduate Program-Masteren_US
dc.identifier.wosnumberWOS:000541820800029en_US
dc.citation.woscount0en_US
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