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A scalable low-latency cache invalidation strategy for mobile environments

机译:适用于移动环境的可扩展低延迟缓存失效策略

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Caching frequently accessed data items on the client side is an effective technique for improving performance in a mobile environment. Classical cache invalidation strategies are not suitable for mobile environments due to frequent disconnections and mobility of the clients. One attractive cache invalidation technique is based on invalidation reports (IRs). However, the IR-based cache invalidation solution has two major drawbacks, which have not been addressed in previous research. First, there is a long query latency associated with this solution since a client cannot answer the query until the next IR interval. Second, when the server updates a hot data item, all clients have to query the server and get the data from the server separately, which wastes a large amount of bandwidth. In this paper, we propose an IR-based cache invalidation algorithm, which can significantly reduce the query latency and efficiently utilize the broadcast bandwidth. Detailed analytical analysis and simulation experiments are carried out to evaluate the proposed methodology. Compared to previous IR-based schemes, our scheme can significantly improve the throughput and reduce the query latency, the number of uplink request, and the broadcast bandwidth requirements.
机译:在客户端上缓存经常访问的数据项是提高移动环境中性能的有效技术。由于客户端频繁断开连接和移动,传统的缓存无效策略不适合移动环境。一种有吸引力的缓存失效技术是基于失效报告(IR)的。但是,基于IR的缓存失效解决方案具有两个主要缺点,以前的研究尚未解决。首先,与此解决方案相关联的查询等待时间较长,因为客户端要等到下一个IR间隔才能回答查询。其次,当服务器更新热数据项时,所有客户端都必须查询服务器并分别从服务器获取数据,这会浪费大量带宽。在本文中,我们提出了一种基于IR的缓存失效算法,该算法可以显着减少查询延迟并有效利用广播带宽。进行了详细的分析分析和模拟实验,以评估所提出的方法。与以前的基于IR的方案相比,我们的方案可以显着提高吞吐量并减少查询延迟,上行链路请求数和广播带宽要求。

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