Improving Cost-Efficiency through Failure-Aware Server Management and Scheduling in Cloud

Laiping Zhao, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

We examine the problem of managing a server farm in a cost-efficient way that reduces the cost caused by server failures, according to an Infrastructure-as-a-Service model in cloud. Specifically, failures in cloud systems are so frequent that severely affect the normal operation of job requests and incurring high penalty cost. It is possible to increase the net revenue through reducing the energy cost and penalty by leveraging failure predictiors. First, we incorporate the malfunction and recovery states into the server management process, and improve the cost-efficiency of each server using failure predictor-based proactive recovery. Second, we present a revenue-driven cloud scheduling algorithm, which further increases net revenue in collaboration with server management algorithm. The formal and experimental analysis manifests our expected net revenue improvement.

本文言語英語
ホスト出版物のタイトルCloud Computing and Services Science - 2nd International Conference, CLOSER 2012, Revised Selected Papers
出版社Springer Verlag
ページ23-38
ページ数16
ISBN(印刷版)9783319045184
DOI
出版ステータス出版済み - 1 1 2013
イベント2nd International Conference on Cloud Computing and Services Science, CLOSER 2012 - Porto, ポルトガル
継続期間: 4 18 20124 21 2012

出版物シリーズ

名前Communications in Computer and Information Science
367 CCIS
ISSN(印刷版)1865-0929

その他

その他2nd International Conference on Cloud Computing and Services Science, CLOSER 2012
Countryポルトガル
CityPorto
Period4/18/124/21/12

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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