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Mobile Computing - Optimization for multimedia workload. ADAPTIVE ALGORITHMIC
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Submitted by pgoyani on May 29, 2008
Category: Technology
Words: 4224 | Pages: 17
Views: 107
Popularity Rank: 92,205
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ADAPTIVE ALGORITHMIC POWER
OPTIMIZATION FOR MULTIMEDIA WORKLOAD IN MOBILE ENVIRONMENTS
Pragnesh Goyani
Software Engineer
Motorola Inc., Plantation, Florida
Hitesh Joshi
Software Engineer
eFunds Inc., Sunrise, Florida
ABSTRACT
This paper addresses the problem of power consumption in mobile devices with multimedia and presents algorithmic optimization techniques to achieve reduction of power usage. We also present researched approaches for adaptive minimization of the total energy consumption in multimedia wireless communications subject to achieving a given quality of service. We discuss the energy optimization techniques, and collaborative and non-collaborative techniques used for power management, after which we discuss in detail, the adaptive encoding and decoding algorithms as well as RTOS based and Server assisted techniques.
This paper discusses the following five algorithms and their overheads:
Algorithm #1: Window Follower Algorithm for Encoding (Motion Estimation)
Algorithm #2: Transmission Adaptation Encoding Algorithm
Algorithm #3: MPEG4 Adaptive Parameters Encoding Algorithm
Algorithm #4: Dynamic Voltage Scaling – Adaptive Clock/Voltage Setting
Algorithm #5: Buffer Insertion Decoding Algorithm
Algorithm #6: Adaptive Multimedia Streaming Algorithm
This paper also presents several simulation results achieved by other authors, which show the effectiveness of the discussed algorithms in reduction of energy or power consumption.
KEYWORDS
Low-power, multimedia streaming, adaptive encoding, adaptive decoding, voltage scaling, frequency scaling
MOTIVATION
Unlike other enabling technologies for mobile information systems, the specific energy of commercially available rechargeable batteries has improved at only about 2 percent...
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