Autonomic virtual resource management for service hosting platforms

Hien Nguyen Van 1, 2 Frédéric Dang Tran 2 Jean-Marc Menaud 1, 3
1 ASCOLA - Aspect and composition languages
Inria Rennes – Bretagne Atlantique , Département informatique - EMN, LINA - Laboratoire d'Informatique de Nantes Atlantique
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, Frédéric Dang Tran, Jean-Marc Menaud. Autonomic virtual resource management for service hosting platforms. Workshop on Software Engineering Challenges in Cloud Computing, May 2009, Vancouver, Canada, Canada. pp.1-8. ⟨hal-00474721⟩

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