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Autonomic virtual resource management for service hosting platforms

Proceedings of the Workshop on Software Engineering Challenges in Cloud Computing 01/2009; DOI:10.1109/CLOUD.2009.5071526 In proceeding of: Software Engineering Challenges of Cloud Computing, 2009. CLOUD '09. ICSE Workshop on
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ABSTRACT Cloud platforms host several independent applications on a shared resource pool with the ability to allocate com- puting power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate sev- eral virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine across physical servers. A key challenge for cloud providers is to automate the management of virtual servers while taking into account both high-level QoS requirements of hosted applications and resource management costs. This paper proposes an autonomic resource manager to con- trol the virtualized environment which decouples the provi- sioning of resources from the dynamic placement of virtual machines. This manager aims to optimize a global utility function which integrates both the degree of SLA fulfillment and the operating costs. We resort to a Constraint Pro- gramming approach to formulate and solve the optimization problem. Results obtained through simulations validate our approach.

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Hien Nguyen Van