SLA-aware Virtual Resource Management for Cloud Infrastructures

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.