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dc.contributor.authorHuang, Yuan-Haoen_US
dc.contributor.authorShih, Wen-Yuehen_US
dc.contributor.authorHuang, Jiun-Longen_US
dc.date.accessioned2018-08-21T05:56:57Z-
dc.date.available2018-08-21T05:56:57Z-
dc.date.issued2017-01-01en_US
dc.identifier.urihttp://hdl.handle.net/11536/146860-
dc.description.abstractWe propose in this paper a classification-based elephant flow detection method for SDN environments. The proposed elephant flow detection method consists of two classifiers running on the switch and the controller, respectively. For better performance, the concept of application round is used to build the classifier running on the controller. Experimental results show that our elephant flow detection method is able to obtain high recall and F-measure.en_US
dc.language.isoen_USen_US
dc.subjectElephant flow detectionen_US
dc.subjectSDNen_US
dc.subjectSoftware-Defined Networkingen_US
dc.titleA Classification-Based Elephant Flow Detection Method using Application Round on SDN Environmentsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGSen_US
dc.citation.spage231en_US
dc.citation.epage234en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000417431200041en_US
顯示於類別:會議論文