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A new approach to cross-layer optimization of multimedia systems

  • University of California at Los Angeles

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, cross-layer multimedia system design and optimization has garnered significant attention; however, there is no existing rigorous methodology for optimizing two or more system layers (e.g. the application, operating system, and hardware layers) jointly while maintaining a separation among the decision processes of each layer. Moreover, existing work often relies on myopic optimizations, which ignore the impact of decisions made at the current time on the system's future performance. In this paper, we propose a novel systematic framework for jointly optimizing the different system layers to improve the performance of one multimedia application. In particular, we model the system as a layered Markov Decision Process (MDP), which enables each layer to make autonomous and foresighted decisions that optimize the system's long-term performance.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2310-2313
Number of pages4
ISBN (Print)9781424442966
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period03/14/1003/19/10

Keywords

  • Cross-layer multimedia system design
  • Foresighted decision making
  • Layered Markov decision process

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