Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS

Abstract--Reducing energy consumption for high end computing can bring various benefits such as, reduce operating costs, increase system reliability, and environment respect. This paper aims to develop scheduling heuristics and to present application experience for reducing power consumption of parallel tasks in a cluster with the Dynamic Voltage Frequency Scaling (DVFS) technique. In this paper, formal models are presented for precedence-constrained parallel tasks, DVFS enabled clusters, and energy consumption. This paper studies the slack time for non-critical jobs, extends their execution time and reduces the energy consumption without increasing the task's execution time as a whole. Additionally, Green Service Level Agreement is also considered in this paper. By increasing task execution time within an affordable limit, this paper develops scheduling heuristics to reduce energy consumption of a tasks execution and discusses the relationship between energy consumption and task ...

• Type: Conference
• Year: 2010
• Where: CCGRID
• Authors: Lizhe Wang, Gregor von Laszewski, Jai Dayal, Fugang Wang
• Keywords: CCGRID 2010, Distributed And Parallel Computing, Energy Consumption, Execution Time, Scheduling Heuristics