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

Laiping Zhao, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationCloud Computing and Services Science - 2nd International Conference, CLOSER 2012, Revised Selected Papers
PublisherSpringer Verlag
Pages23-38
Number of pages16
ISBN (Print)9783319045184
DOIs
Publication statusPublished - Jan 1 2013
Event2nd International Conference on Cloud Computing and Services Science, CLOSER 2012 - Porto, Portugal
Duration: Apr 18 2012Apr 21 2012

Publication series

NameCommunications in Computer and Information Science
Volume367 CCIS
ISSN (Print)1865-0929

Other

Other2nd International Conference on Cloud Computing and Services Science, CLOSER 2012
CountryPortugal
CityPorto
Period4/18/124/21/12

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Cite this

Zhao, L., & Sakurai, K. (2013). Improving Cost-Efficiency through Failure-Aware Server Management and Scheduling in Cloud. In Cloud Computing and Services Science - 2nd International Conference, CLOSER 2012, Revised Selected Papers (pp. 23-38). (Communications in Computer and Information Science; Vol. 367 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-319-04519-1_2