NDLI: Expected energy consumption minimization in DVS systems with discrete frequencies

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Expected energy consumption minimization in DVS systems with discrete frequencies

Content Provider	ACM Digital Library
Author	Chen, Jian-Jia
Abstract	Energy-efficiency has been an important system issue in hardware and software designs to extend operation duration or out power bils. This research explores systems with probabilistic distribution on the execution time of real-time tasks for systems with discrete frequencies. Most previous studies consider DVS systems with continuous frequencies for the minimization of expected energy consumption under timing constraints. However, these approaches cannot guarantee the minimization of expected energy consumption when only discrete frequencies are available. This paper presents new approaches to minimize the expected energy consumption. By applying intra-task frequency scheduling, we develop an efficient algorithm to derive optimal frequency scheduling for a single task. The algorithm is then extended to cope with periodic real-time tasks with different power characteristics. With inter-task and intra-task frequency scheduling, we present a linear-programming approach to derive optimal solutions for frame-based real-time tasks and an on-line algorithm for periodic real-time tasks. Experimental results show that the proposed algorithms can effectively reduce the expected energy consumption.
Starting Page	1720
Ending Page	1725
Page Count	6
File Format	PDF
ISBN	9781595937537
DOI	10.1145/1363686.1364095
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Probability Dynamic voltage scaling Expected energy consumption minimization Energy-efficient scheduling
Content Type	Text
Resource Type	Article

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