A Dynamic Energy-Aware Server Selection Algorithm

Abstract

Electric power consumed by servers has to be reduced in order to realize green societies. We consider computation ({\it{CP}}) and storage ({\it{ST}}) types of application processes performed on servers in this paper, where CPU and storage drives are mainly used, respectively. In the storage and computation based power consumption (SCBPC) model proposed by the authors, the power consumption rate of a server depends on what types of processes are performed. In the storage and computation based processing (SCBP) model, the execution time of an ST process depends on the number of concurrent CP and ST processes but the execution time of a CP process depends on only CP processes. In our previous studies, the energy-aware (EA) algorithm is discussed to select a server in a cluster of servers for each request so that the total power consumption of the servers can be reduced. However, a server consumes electric power even if no process is performed. In this paper, we discuss a dynamic EA (DEA) algorithm where the membership of a cluster is dynamically changed so that only active servers where at least one process is performed are included in the cluster. A server for each request is selected in a dynamic cluster so that the total power consumption of servers in the cluster can be reduced. We evaluate the DEA algorithm in terms of the total power consumption and average execution time.