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A scheduling model for reduced CPU energy

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3 Author(s)
Yao, F. ; Xerox Palo Alto Res. Center, CA, USA ; Demers, A. ; Shenker, S.

The energy usage of computer systems is becoming an important consideration, especially for battery-operated systems. Various methods for reducing energy consumption have been investigated, both at the circuit level and at the operating systems level. In this paper, we propose a simple model of job scheduling aimed at capturing some key aspects of energy minimization. In this model, each job is to be executed between its arrival time and deadline by a single processor with variable speed, under the assumption that energy usage per unit time, P, is a convex function, of the processor speed s. We give an off-line algorithm that computes, for any set of jobs, a minimum-energy schedule. We then consider some on-line algorithms and their competitive performance for the power function P(s)=sp where p⩾2. It is shown that one natural heuristic, called the Average Rate heuristic, uses at most a constant times the minimum energy required. The analysis involves bounding the largest eigenvalue in matrices of a special type

Published in:

Foundations of Computer Science, 1995. Proceedings., 36th Annual Symposium on

Date of Conference:

23-25 Oct 1995

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