Article

Autonomic Virtual Resource Management for Service Hosting Platforms

Proceedings of the Workshop on Software Engineering Challenges in Cloud Computing 05/2009; DOI: 10.1109/CLOUD.2009.5071526
Source: OAI

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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    • "In some cases, this method cannot get a solution at all. Another way to get the optimal solution is using a Constraint Programming (CP) engine [8] [9] [13] [14]. Employing CP to optimize VM placement is a convenient technique of elegance and flexibility which simplifies the way of getting solutions of the problem. "
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