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Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms

Author

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  • Fan Zhang

    (Tsinghua University, China)

  • Junwei Cao

    (Tsinghua University, China)

  • Hong Cai

    (IBM China Software Development Lab, China)

  • Cheng Wu

    (Tsinghua University, China)

Abstract

Provisioning Virtual machines on demand is significant in elastic compute cloud for reliable service delivery. The importance and major difficulty lies in satisfying the conflicting objectives of satisfying contracted service level agreement while lowering used resource costs. In this paper, the authors propose a mathematical multi-tier framework for adaptive virtual resource allocation problem. The framework captures the performance of the virtualized cloud platform gracefully. The authors first use simulations to derive virtual resource allocation policies, and later use real benchmarking applications, to verify the effectiveness of this framework. Experimental results show that the model can be simply and effectively used to satisfy the response time requirement as well as lowering the cost of using the virtual machine resources.

Suggested Citation

  • Fan Zhang & Junwei Cao & Hong Cai & Cheng Wu, 2011. "Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms," International Journal of Web Services Research (IJWSR), IGI Global, vol. 8(3), pages 54-69, July.
    • Handle: RePEc:igg:jwsr00:v:8:y:2011:i:3:p:54-69
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