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Video Stream Annotations for Energy Trade-offs in Multimedia Applications

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3 Author(s)
Cornea, R. ; Donald Bren Sch. of Inf. & Comput. Sci., California Univ., Irvine, CA ; Nicolau, A. ; Dutt, N.

Recent applications for distributed mobile devices, including multimedia video/audio streaming, typically process streams of incoming data in a regular, predictable way. The behavior of these applications during runtime can be accurately predicted most of the time by analyzing the data to be processed and annotating the stream with the information collected. We introduce an annotation-based approach to power-quality trade-offs and demonstrate its application on CPU frequency scaling during video decoding, for an improved user experience on portable devices. Our experiments show that up to 50% of the power consumed by the CPU during video decoding can be saved with this approach

Published in:

Parallel and Distributed Computing, 2006. ISPDC '06. The Fifth International Symposium on

Date of Conference:

6-9 July 2006