Energy Proportionality and the Future: Metrics and Directions

Authors:
Georgios Varsamopoulos;Sandeep K. S. Gupta
Affiliations:
-;-
Venue:
ICPPW '10 Proceedings of the 2010 39th International Conference on Parallel Processing Workshops
Year:
2010

Citing 0
Cited 3

Towards efficient supercomputing: searching for the right efficiency metric

ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
TACOMA: Server and workload management in internet data centers considering cooling-computing power trade-off and energy proportionality

ACM Transactions on Architecture and Code Optimization (TACO)
DAHM: A green and dynamic web application hosting manager across geographically distributed data centers

ACM Journal on Emerging Technologies in Computing Systems (JETC)

Quantified Score

Hi-index	0.02

Visualization

Abstract

This paper proposes a pair of quantitative metrics, namely the idle-to-power ratio (IPR) and the linear deviation ratio (LDR), to be used together for measuring the energy proportionality of computing systems. The metrics are applied to the publicly available SPECPower_ssj2008 benchmark results, yielding a partly grim trend of energy proportionality, which has to be addressed and possibly rectified by the computer industry. The paper also proposes future research directions on studying the effects of energy proportionality on software-based energy-saving techniques.