NDLI: Energy Efficient Scheduling for Real-Time Embedded Systems with QoS Guarantee

Content Provider	IEEE Xplore Digital Library
Author	Linwei Niu
Copyright Year	2010
Abstract	While the dynamic voltage scaling (DVS) techniques are efficient in reducing the dynamic energy consumption for the processor, varying voltage alone becomes less effective for the overall energy reduction as the static power is growing rapidly. On the other hand, Quality of Service (QoS) is also a primary concern in the development of today's pervasive computing systems. In this paper, we propose a dynamic approach to minimize the overall energy consumption for soft real-time systems while ensuring the QoS-guarantee. The QoS requirements are deterministically quantified with the \emph{window-constraints}, which require that at least $m$ out of each non-overlapped window of $k$ consecutive jobs of a task meet their deadlines. Necessary and sufficient conditions for checking the feasibility of task sets with arbitrary service times and periods are developed to ensure that the \emph{window-constraints} can be guaranteed in the worst case. And efficient scheduling techniques based on pattern variation and dynamic slack reclaiming extensions are proposed to combine the task procrastination and dynamic slowdown to minimize the energy consumption. In contrast to the previous leakage-aware slack reclaiming work which never scales the job speed below the critical speed, we will show that it can be more energy efficient to reclaim the slack with speed lower than the critical speed when necessary. Through extensive simulations, our experiment results demonstrate that the proposed techniques significantly outperformed the previous research in both overall and idle energy reduction.
Starting Page	163
Ending Page	172
File Size	319089
Page Count	10
File Format	PDF
ISBN	9781424484805
ISSN	15332306
DOI	10.1109/RTCSA.2010.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Real time systems Dynamic scheduling Power demand Energy consumption Nickel Schedules
Content Type	Text
Resource Type	Article

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