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Adaptive power-aware prefetch in wireless networks

机译:无线网络中的自适应功率感知预取

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Most of the prefetch techniques used in the current cache management schemes do not consider 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 adaptive value-based prefetch (AVP) scheme. The AVP scheme defines a value function which can optimize the prefetch cost to achieve better performance. Also, AVP dynamically adjusts the number of prefetches to get better tradeoff between performance and power. As stretch is widely adopted as a performance metric for variable-size data requests, we show by analysis that the proposed approach 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.
机译:当前缓存管理方案中使用的大多数预取技术都没有考虑移动客户端的功率限制以及其他因素,例如数据项的大小,数据访问速率和数据更新速率。在本文中,我们通过提出一种功率感知的预取方案(称为自适应基于值的预取(AVP)方案)来解决这些问题。 AVP方案定义了一个值函数,该函数可以优化预取成本以实现更好的性能。此外,AVP可以动态调整预取次数,以在性能和功耗之间取得更好的平衡。由于拉伸被广泛用作可变大小数据请求的性能指标,因此我们通过分析表明,在考虑功耗时,所提出的方法确实可以在拉伸方面实现最佳性能。仿真结果表明,在各种情况下,我们的算法明显优于现有的预取算法。

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