Power-aware prefetch in mobile environments

Liangzhong Yin, Guohong Cao, Chitaranjan Das, Ajeesh Ashraf

Research output: Contribution to conferencePaperpeer-review

25 Scopus citations


Most of the prefetch techniques used in the current cache management schemes do not consider the power constraints of the mobile clients and other factors such as the size of the data items, the data access rate, and the data update rate. In this paper, we address these issues by proposing a power-aware prefetch scheme, called value-based adaptive prefetch (VAP) scheme. The VAP scheme defines a value function which can optimize the prefetch cost to achieve better performance. Also, VAP dynamically adjusts the number of prefetches based on the current energy level to prolong the system running time. As stretch is widely adopted as a performance metric for variable-size data requests, we show by analysis that the proposed algorithm can indeed achieve the optimal performance in terms of stretch when power consumption is considered. Simulation results demonstrate that our algorithm significantly outperforms existing prefetching algorithms under various scenarios.

Original languageEnglish (US)
Number of pages8
StatePublished - 2002
Event22nd International Conference on Distributed Systems - Vienna, Austria
Duration: Jul 2 2002Jul 5 2002


Other22nd International Conference on Distributed Systems

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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