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Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms

Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms

Fan Zhang, Junwei Cao, Hong Cai, Cheng Wu
Copyright: © 2011 |Volume: 8 |Issue: 3 |Pages: 16
ISSN: 1545-7362|EISSN: 1546-5004|EISBN13: 9781613509739|DOI: 10.4018/jwsr.2011070103
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MLA

Zhang, Fan, et al. "Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms." IJWSR vol.8, no.3 2011: pp.54-69. http://doi.org/10.4018/jwsr.2011070103

APA

Zhang, F., Cao, J., Cai, H., & Wu, C. (2011). Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms. International Journal of Web Services Research (IJWSR), 8(3), 54-69. http://doi.org/10.4018/jwsr.2011070103

Chicago

Zhang, Fan, et al. "Provisioning Virtual Resources Adaptively in Elastic Compute Cloud Platforms," International Journal of Web Services Research (IJWSR) 8, no.3: 54-69. http://doi.org/10.4018/jwsr.2011070103

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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.

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