Simple Energy-Aware Algorithms for Selecting a Server in a Scalable Cluster

It is critical to reduce the electric energy consumed in server clusters in order to realize eco society. In our previous studies, a server is selected to perform a process by estimating the termination time of every current process and then the electric energy consumption of servers. However, it is not easy and takes time to collect the state of each process and estimate the termination time of each process. In this paper, we propose SLEA (simple locally energy-aware) and SGEA (simple globally energy-aware) algorithms to select a server where only the number of processes on each server is used. In the evaluation, we show the electric energy consumption and active time of the servers and the average execution time of processes can be reduced in the SLEA and SGEA algorithms.