A dynamic optimization model for power and performance management of virtualized clusters

An increasing number of large-scale server clusters are being deployed in data centers for supporting many different web-based application services in a seamless fashion. In this scenario, the rising energy costs for keeping up those web clusters is becoming an important concern for many business. In this paper we present an optimization solution for power and performance management in a platform running multiple independent web applications. Our approach assumes a virtualized server environment and includes an optimization model and strategy to dynamically manage the cluster power consumption, while meeting the application's workload demands.