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dc.contributor.authorYang, Tsai-Weien_US
dc.contributor.authorWang, Kuochenen_US
dc.date.accessioned2017-04-21T06:49:17Z-
dc.date.available2017-04-21T06:49:17Z-
dc.date.issued2016en_US
dc.identifier.isbn978-4-8855-2304-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/134608-
dc.description.abstractThe Software Defined Networking (SDN), an efficient network technology, allows researchers to program their networks to meet different application needs. In this paper, we focus on failure detection services in multiple SDN controllers. We review some classical failure detection services and discuss how these services work. These classical failure detection services have the high mistake rate problem. To deal with this problem, we propose a failure detection service with low mistake rates (FDLM) mechanism. We use a modified gossip protocol to distribute heartbeat messages and have multiple controllers to make failure decisions in order to achieve low mistake rates. Experiment results show that the proposed FDLM has better performance in terms of average mistake rate, 95.5% (79.8%) lower, compared to Akka under message loss for the case of four (three) controllers. The significance of achieving low mistake rates in the proposed FDLM is decreasing unnecessary SDN controller failover, which causes overheads of reelecting a leader controller, restarting a controller and synchronizing the restarted controller with the leader controller.en_US
dc.language.isoen_USen_US
dc.subjectSDNen_US
dc.subjectmultiple controllersen_US
dc.subjectfailoveren_US
dc.subjectfailure detectionen_US
dc.subjectfailure consensusen_US
dc.subjectgossip protocolen_US
dc.titleFailure Detection Service with Low Mistake Rates for SDN Controllersen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2016 18TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS)en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000392160000018en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper