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首页> 外文期刊>International journal of communications, network, and system sciences >A Predicted Region based Cache Replacement Policy for Location Dependent Data in Mobile Environment
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A Predicted Region based Cache Replacement Policy for Location Dependent Data in Mobile Environment

机译：移动环境中基于位置的数据的基于预测区域的缓存替换策略

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摘要

Caching frequently accessed data items on the mobile client is an effective technique to improve the system performance in mobile environment. Proper choice of cache replacement technique to find a suitable subset of items for eviction from cache is very important because of limited cache size. Available policies do not take into account the movement patterns of the client. In this paper, we propose a new cache replacement policy for location dependent data in mobile environment. The proposed policy uses a predicted region based cost function to select an item for eviction from cache. The policy selects the predicted region based on client’s movement and uses it to calculate the data distance of an item. This makes the policy adaptive to client’s movement pattern unlike earlier policies that consider the directional / non-directional data distance only. We call our policy the Prioritized Predicted Region based Cache Replacement Policy (PPRRP). Simulation results show that the proposed policy significantly improves the system performance in comparison to previous schemes in terms of cache hit ratio.
机译：在移动客户端上缓存经常访问的数据项是提高移动环境中系统性能的有效技术。由于缓存大小有限，正确选择缓存替换技术以找到合适的项目子集以从缓存中逐出非常重要。可用策略未考虑客户端的移动模式。在本文中，我们针对移动环境中与位置相关的数据提出了一种新的缓存替换策略。提议的策略使用基于预测区域的成本函数从缓存中选择要逐出的项目。该策略会根据客户的移动情况选择预测区域，然后使用该区域来计算商品的数据距离。与早期的策略仅考虑定向/非定向数据距离的策略不同，这使策略能够适应客户的移动方式。我们将我们的策略称为基于优先级预测区域的缓存替换策略（PPRRP）。仿真结果表明，与以前的方案相比，所提出的策略在缓存命中率方面显着提高了系统性能。

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