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Reliability-Aware Energy Management for Periodic Real-Time Tasks Dakai Zhu Hakan Aydin
 

Summary: Reliability-Aware Energy Management for Periodic Real-Time Tasks
Dakai Zhu Hakan Aydin
Department of Computer Science Department of Computer Science
University of Texas at San Antonio George Mason University
San Antonio, TX, 78249 Fairfax, VA 22030
dzhu@cs.utsa.edu aydin@cs.gmu.edu
Abstract
The prominent energy management technique, Dy-
namic Voltage and Frequency Scaling (DVFS), was re-
cently shown to have direct and adverse effects on sys-
tem reliability. In this work, we investigate static and dy-
namic reliability-aware energy management schemes for
a set of periodic real-time tasks to minimize energy con-
sumption while preserving system reliability. Focusing
on EDF scheduling, we first show that the static prob-
lem is NP-hard and propose two task-level utilization-
based heuristics. Then, we develop a job-level dynamic
(on-line) scheme by building on the idea of wrapper-
tasks, to monitor and manage dynamic slack efficiently
in reliability-aware settings. Our schemes incorporate

  

Source: Aydin, Hakan - Department of Computer Science, George Mason University
Zhu, Dakai - Department of Computer Science, University of Texas at San Antonio

 

Collections: Computer Technologies and Information Sciences; Engineering