Simple Energy-efficient Server Selection Algorithm in a Scalable Cluster

It is critical to reduce the electric energy consumed in server clusters. In our previous studies, the MLPCM and MLCM models are proposed with LEA and MEA server selection algorithms. Here, a server is selected to perform a process by estimating the termination time of every current process. However, it takes time to collect the state of each process and estimate the termination time of each process. In this paper, we propose a simple energy-aware (PEA) algorithm to select a server where only state information on number of processes on each server is used. In the evaluation, we show the computation complexity of the PEA algorithm is O(1), smaller than the other algorithms while the total electric energy consumption of the servers of the PEA algorithm is almost the same as the MEA algorithm and is smaller than the others.