A genetic-based load balancing algorithm in OpenFlow network

Li Der Chou, Yao Tsung Yang, Yuan Mao Hong, Jhih Kai Hu, Bill Jean

研究成果: 書貢獻/報告類型會議論文篇章同行評審

29 引文 斯高帕斯(Scopus)

摘要

Load balancing service is essential for distributing workload across server farms or data centers and mainly provided by dedicated hardware. In recent years, the concept of Software-Defined Networking (SDN) has been applied successfully in the real network environment, especially by OpenFlow designs. This paper presents an OpenFlow-based load balancing system with the genetic algorithm. This system can distribute large data from clients to different servers more efficiently according to load balancing policies. Furthermore, with the pre-configured flow table entries, each flow can be directed in advance. Once the traffic burst or server loading increased suddenly, the proposed genetic algorithm can help balance workload of server farms. The experiments demonstrate the better performance of the proposed method compared to other approaches.

原文???core.languages.en_GB???
主出版物標題Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
頁面411-417
頁數7
DOIs
出版狀態已出版 - 2014
事件Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
持續時間: 23 8月 201325 8月 2013

出版系列

名字Lecture Notes in Electrical Engineering
260 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

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???event.eventtypes.event.conference???Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
國家/地區Taiwan
期間23/08/1325/08/13

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