Energy efficient rescheduling algorithm for High Performance Computing

Abstract

With the augmentation of High Performance Computing (HPC) system and power consumption pattern, energy optimization has become an important concern. Several surveys indicate that the energy utilized in computation and communication within a HPC system contributes considerably to their operational costs. The proposed energy efficient rescheduling algorithm aims to reduce energy consumption in HPC. This algorithm is based on energy efficient rescheduling of a job which considers the optimal operating point (OOP) i.e. voltage and frequency along with resource matching constraint to achieve the target performance. Performance -Energy-Time (PET) matrix for every application is built and stored in knowledge base (KB) in order to devise its OOP. The devised OOP gives minimal energy consumption at target execution environment. The algorithm is useful for energy optimization for cluster environment. Earlier works exploited process migration technique to address load balancing aspect. The proposed algorithm exploits process migration and reschedules the job dynamically with its OOP in context of energy reduction.