Energy-Efficient Delay Time-Based Process Allocation Algorithm for Heterogeneous Server Clusters

Various types of scalable and high performance computing systems are developed to realize distributed applications. In order to realize not only scalable but also high performance information systems, serverclusterc systems are widely used. In server cluster systems, the larger electric energy is consumed since application processes are performed on the larger number of servers. The improved delay time-based (IDTB)algorithm is discussed to select a server for each request process in a homogeneous server cluster so that the total energy consumption of the homogeneous server cluster to perform application processes can be reduced. In a homogeneous cluster, every server follows the same computation model and power consumption model. In heterogeneous cluster, servers follow different types of computation models and power consumption models. In this paper, we propose an extended IDTB (EIDTB) algorithm to reduce the total energy consumption and response time of each process in heterogeneous server cluster. We evaluate the EIDTB algorithm compared with the IDTB algorithm in a heterogeneous server cluster. In the evaluation, we show the average total energy consumption of a heterogeneous server cluster in the EIDTB algorithm can be reduced maximum 57% of the IDTB algorithm.