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IEEE Internet Computing
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HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
ICPPW '09 Proceedings of the 2009 International Conference on Parallel Processing Workshops
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IEEE Transactions on Parallel and Distributed Systems
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GCC '10 Proceedings of the 2010 Ninth International Conference on Grid and Cloud Computing
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ISPA'06 Proceedings of the 2006 international conference on Frontiers of High Performance Computing and Networking
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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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.