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Adaptive online processor management algorithms for multimedia data communication with QoS sensitivity
Author(s) -
Kim Sungwook
Publication year - 2009
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.979
Subject(s) - computer science , adaptability , flexibility (engineering) , quality of service , energy consumption , scheduling (production processes) , efficient energy use , field (mathematics) , distributed computing , multimedia , computer network , ecology , statistics , operations management , mathematics , pure mathematics , electrical engineering , economics , biology , engineering
Energy consumption has become an increasingly important consideration in many real‐time systems. Therefore, the design and analysis for energy‐efficient processor management techniques is an important and widely open research field. In this paper, I propose new online processor management algorithms to control heterogeneous multimedia services while maximizing energy efficiency. These online management algorithms—quality of service control, service request admission and scheduling algorithms—are combined in an integrated framework for higher system performance and energy efficiency. The most important feature of my proposed online framework is its adaptability, flexibility, and responsiveness to current system conditions. Simulation results clearly indicate the superior performance of my proposed framework to strike the appropriate performance balance between contradictory requirements. Copyright © 2008 John Wiley & Sons, Ltd.