Flow-and-VM migration for optimizing throughput and energy in SDN-based cloud datacenter

Wei Chu Lin, Chien Hui Liao, Kuan Tsen Kuo, Charles H.P. Wen

研究成果: Conference article同行評審

13 引文 斯高帕斯(Scopus)

摘要

Minimizing energy consumption and improving performance in data centers are critical to cost-saving for cloud operators, but traditionally, these two optimization objectives are treated separately. Therefore, this paper presents an unified solution combining two strategies, flow migration and VM migration, to maximize throughput and minimize energy, simultaneously. Traffic-aware flow migration (FM) is first incorporated in dynamic reroute (DENDIST), evolving into DENDIST-FM, in a software-defined network (SDN) for improving throughput and avoiding congestion. Second, given energy and topology information, VM migration (ETA-VMM) can help reduce traffic loads and meanwhile save energy. Our experimental result indicates that compared to previous works, the proposed method can improve throughput by 42.5% on average with only 2.2% energy overhead. Accordingly, the unified flow-and-VM migration solution has been proven effective for optimizing throughput and energy in SDN-based cloud data centers.

原文English
文章編號6753799
頁(從 - 到)206-211
頁數6
期刊Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
1
DOIs
出版狀態Published - 1 一月 2013
事件5th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2013 - Bristol, United Kingdom
持續時間: 2 十二月 20135 十二月 2013

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