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28 January 2008 Joint scheduling and resource allocation for multiple video decoding tasks
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Proceedings Volume 6818, Multimedia Computing and Networking 2008; 68180A (2008)
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian Foo and Mihaela van der Schaar "Joint scheduling and resource allocation for multiple video decoding tasks", Proc. SPIE 6818, Multimedia Computing and Networking 2008, 68180A (28 January 2008);


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