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18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Papers
Energy-Efficient Caching and Prefetching with Data Consistency in Mobile Distributed Systems
Santa Fe, New Mexico
April 26-April 30
ISBN: 0-7695-2132-0
Huaping Shen, University of Texas at Arlington
Mohan Kumar, University of Texas at Arlington
Sajal K. Das, University of Texas at Arlington
Zhijun Wang, University of Texas at Arlington
In mobile distributed systems, vital resources like battery power and wireless channel bandwidth impose significant challenges in ubiquitous information access. In this paper, we propose a novel energy and bandwidth efficient data caching mechanism, called GreedyDual Least Utility (GDLU), that enhances dynamic data availability while maintaining consistency. The proposed utility-based caching mechanism considers several characteristics of mobile distributed systems, such as connection-disconnection, mobility handoff, data update and user request patterns to achieve significant energy savings in mobile devices. Based on the utility function derived from an analytical model, we propose a cache replacement algorithm and a passive prefetching algorithm to cache and prefetch data objects. Our comprehensive simulation experiments demonstrate that the proposed mechanism achieves more than 10% energy saving and near-optimal performance tradeoff between access latency and energy consumption.
Citation:
Huaping Shen, Mohan Kumar, Sajal K. Das, Zhijun Wang, "Energy-Efficient Caching and Prefetching with Data Consistency in Mobile Distributed Systems," ipdps, vol. 1, pp.67a, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Papers, 2004
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