Exponential index: a parameterized distributed indexing scheme for data on air
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Wireless Cache Invalidation Schemes with Link Adaptation and Downlink Traffic
IEEE Transactions on Mobile Computing
Objective-Optimal Algorithms for Long-Term Web Prefetching
IEEE Transactions on Computers
Energy-efficient data caching and prefetching for mobile devices based on utility
Mobile Networks and Applications
Investigating cache energy and latency break-even points in high performance processors
MEDEA '06 Proceedings of the 2006 workshop on MEmory performance: DEaling with Applications, systems and architectures
Investigating cache energy and latency break-even points in high performance processors
ACM SIGARCH Computer Architecture News
Auto-update: a concept for automatic downloading of web content to a mobile device
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
ACE-INPUTS: A Cost-Effective Intelligent Public Transportation System
IEICE - Transactions on Information and Systems
Proceedings of the 4th Annual International Conference on Wireless Internet
Cooperative prefetching strategies for mobile peers in a broadcast environment
DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
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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.