NDLI: An energy reduction technique for multimedia application with tolerance to deadline misses

Content Provider	IEEE Xplore Digital Library
Author	Shaoxiong Hua Gang Qu Bhattacharyya, S.S.
Copyright Year	2003
Description	Author affiliation: Inst. for Adv. Comput. Studies, Univ. of Maryland, College Park, MD, USA (Shaoxiong Hua; Gang Qu; Bhattacharyya, S.S.)
Abstract	Many embedded systems such as PDAs require processing of the given applications with rigid power budget. However, they are able to tolerate occasional failures due to the imperfect human visual/auditory systems. The problem we address in this paper is how to utilize such tolerance to reduce multimedia system's energy consumption for providing guaranteed quality of service at the user level in terms of completion ratio. We explore a range of offline and on-line strategies that take this tolerance into account in conjunction with the modest non-determinism in application's execution time. First, we give a simple best-effort approach that achieves the maximum completion ratio; then we propose an enhanced on-line best-effort energy minimization (BEEM) approach and a hybrid offline/on-line minimum effort (O/sup 2/ ME) approach. We prove that BEEM maintains the maximum completion ratio while consuming the probably least amount of energy and O/sup 2/ ME guarantees the required completion ratio statistically. We apply both approaches to a variety of benchmark task graphs, most from popular DSP applications. Simulation results show that significant energy savings (38% for BEEM and 54% for O/sup 2/ ME, both over the simple best-effort approach) can be achieved while meeting the required completion ratio requirements.
Starting Page	131
Ending Page	136
File Size	735015
Page Count	6
File Format	PDF
ISBN	1581136889
DOI	10.1109/DAC.2003.1218868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Application software Personal digital assistants Energy consumption Multimedia systems Embedded computing Power engineering computing Power engineering and energy Humans Auditory system Digital signal processing
Content Type	Text
Resource Type	Article

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