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dc.contributor.authorGau, Rung-Hungen_US
dc.contributor.authorTsai, Pei-Kanen_US
dc.date.accessioned2017-04-21T06:49:08Z-
dc.date.available2017-04-21T06:49:08Z-
dc.date.issued2016en_US
dc.identifier.isbn978-1-4673-9814-5en_US
dc.identifier.issn1525-3511en_US
dc.identifier.urihttp://hdl.handle.net/11536/136418-
dc.description.abstractIn this paper, we propose using software-defined networking technologies for optimal traffic engineering in cellular networks with service chaining. We study the case in which virtual machines are used to support network services and each flow requires multiple network services. To minimize the maximum load of virtual machines and guarantee that the sum rate of admitted flows is large enough, we formulate an optimization problem that is inherently different from the minimum cost flow problem. We transform the optimization problem to a linear programming problem, which can be solved in polynomial time. We also use numerical results to justify the usage of the proposed approach.en_US
dc.language.isoen_USen_US
dc.subjectcellular networken_US
dc.subjectsoftware-defined networken_US
dc.subjecttraffic engineeringen_US
dc.subjectnetwork optimizationen_US
dc.subjectservice chainingen_US
dc.subjectload balancingen_US
dc.titleSDN-based Optimal Traffic Engineering for Cellular Networks with Service Chainingen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCEen_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000388603100121en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper