SCHEDULE: NOV 16-22, 2013
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Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems
SESSION: Energy Management
EVENT TYPE: Papers
TIME: 2:30PM - 3:00PM
SESSION CHAIR: Taisuke Boku
AUTHOR(S):Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka
ROOM:401/402/403
ABSTRACT:
The research literature to date mainly aimed at reducing energy consumption
in HPC environments. In this paper we propose a job power aware scheduling mechanism to reduce HPC's electricity bill without degrading the system utilization. The novelty of our job scheduling mechanism is its ability to take the variation of electricity price into consideration as a means to make better decisions of the timing of scheduling jobs with diverse power profiles. We verified the effectiveness of our design by conducting trace-based experiments on an IBM Blue Gene/P and a cluster system as well as a case study on Argonne's 48-rack IBM Blue Gene/Q system. Our preliminary results show that our power aware algorithm can reduce electricity bill of HPC systems as much as 23%.
Chair/Author Details:
Taisuke Boku (Chair) - University of Tsukuba
Xu Yang - Illinois Institute of Technology
Zhou Zhou - Illinois Institute of Technology
Sean Wallace - Illinois Institute of Technology
Zhiling Lan - Illinois Institute of Technology
Wei Tang - Argonne National Laboratory
Susan Coghlan - Argonne National Laboratory
Michael E. Papka - Argonne National Laboratory
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The full paper can be found in the ACM Digital Library
