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Prioritised Predicted Region based Cache Replacement Policy for location dependent data in mobile environment

机译:移动环境中位置相关数据的优先基于预测区域的缓存替换策略

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摘要

Location Dependent Information Services (LDISs) provide information to mobile users depending on their current location. Data has to be transferred from the server to the mobile device, whenever required, due to mobile client's memory constraint. To improve system performance in mobile environment, frequently accessed data must be cached on the mobile client. In this paper, we propose a new cache replacement policy, the Prioritised Predicted Region based Cache Replacement Policy (PPRRP), which uses a cost function for data eviction based on the client's movement pattern. Earlier policies considered only the data distance. Simulation results show significant improvement in system performance with our policy.
机译:位置相关信息服务(LDIS)根据移动用户的当前位置向他们提供信息。由于移动客户端的内存限制,无论何时需要,都必须将数据从服务器传输到移动设备。为了提高移动环境中的系统性能,必须将经常访问的数据缓存在移动客户端上。在本文中,我们提出了一种新的缓存替换策略,即基于优先级预测区域的缓存替换策略(PPRRP),该策略使用成本函数基于客户端的移动模式进行数据逐出。早期的策略仅考虑数据距离。仿真结果表明,使用我们的策略可以显着改善系统性能。

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