Markov Decision Process Based Energy-Efficient Scheduling For Slice-Parallel Video Decoding

We consider the problem of energy-efficient scheduling for slice-parallel video decoders on multicore systems with Dynamic Voltage Frequency Scaling (DVFS) enabled processors. We rigorously formulate the problem as a Markov decision process (MDP), which simultaneously considers the on-line scheduling and per-core DVFS capabilities; the power consumption of the processor cores and caches; and the loss tolerant and dynamic nature of the video decoder. The objective is to minimize longterm power consumption subject to a minimum Quality of Service (QoS) constraint related to the decoder’s throughput. We evaluate the proposed scheduling algorithm using traces generated from a cycle-accurate multiprocessor ARM simulator.


Published in:
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2013), 1, 1, 1-6
Presented at:
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2013), San Jose, California, USA, July 15-19, 2013
Year:
2013
Publisher:
New York, IEEE Press
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 Record created 2013-04-29, last modified 2018-03-17

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