Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICDCS.2002.1022307 | ICDCS |
Keywords | Field | DocType |
prefetch cost,data update rate,data item,power-aware prefetch,prefetch technique,power-aware prefetch scheme,vap dynamically,vap scheme,value-based adaptive prefetch,data access rate,mobile environments,variable-size data request,mobile computing,value function,computational modeling,bandwidth,data access,energy levels,energy management,measurement,parameter estimation,energy states | Mobile computing,Energy management,Computer science,Performance metric,Real-time computing,Bandwidth (signal processing),Estimation theory,Instruction prefetch,Data access,Energy consumption,Distributed computing | Conference |
ISSN | ISBN | Citations |
1063-6927 | 0-7695-1585-1 | 17 |
PageRank | References | Authors |
0.88 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangzhong Yin | 1 | 440 | 19.43 |
| Guohong Cao | 2 | 6690 | 326.81 |
| Chita R. Das | 3 | 1046 | 45.21 |
| Ajeesh Ashraf | 4 | 17 | 0.88 |