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Proceedings Paper

Joint scheduling and resource allocation for multiple video decoding tasks
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Paper Abstract

In this paper we propose a joint resource allocation and scheduling algorithm for video decoding on a resource-constrained system. By decomposing a multimedia task into decoding jobs using quality-driven priority classes, we demonstrate using queuing theoretic analysis that significant power savings can be achieved under small video quality degradation without requiring the encoder to adapt its transmitted bitstream. Based on this scheduling algorithm, we propose an algorithm for maximizing the sum of video qualities in a multiple task environment, while minimizing system energy consumption, without requiring tasks to reveal information about their performances to the system or to other potentially exploitative applications. Importantly, we offer a method to optimize the performance of multiple video decoding tasks on an energy-constrained system, while protecting private information about the system and the applications.

Paper Details

Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6818, Multimedia Computing and Networking 2008, 68180A (28 January 2008); doi: 10.1117/12.775125
Show Author Affiliations
Brian Foo, Univ. of California, Los Angeles (United States)
Mihaela van der Schaar, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 6818:
Multimedia Computing and Networking 2008
Reza Rejaie; Roger Zimmermann, Editor(s)

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