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Modified predicted region based cache replacement policy for location-dependent data in mobile environment

机译:基于预测的基于区域的高速缓存替换策略,用于移动环境中的位置相关数据

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Context-aware information includes time, location, device identity and nearby devices to a given entity. Location-aware information services are one of the important categories of context-aware computing. Location services can be characterized as applications that coordinate a cell phone's area or position with other data in order to give theenhanced value of services to the client at the right time and in the right place. As Mobile client can have limited information in their cache, it needs to find out the data objects that should be replaced when there is no space in client's cache. Earlier cache replacement policies solely based on the temporal features of client's access pattern. This paper proposes a Modified Predicted Region Based Cache Replacement Policy (MPRRP), which considers temporal and spatial properties both for estimating the replacement cost. To ensure efficient cache utilization, MPRRP considers the important factors for data item's cost computation such as client access probability, query rate, update rate, client location and moving direction of mobile clients when employing cache replacement in order to improve the effectiveness of previous cache replacement policy.
机译:背景信息包括给定实体的时间,位置,设备标识和附近设备。位置感知信息服务是上下文知识计算的重要类别之一。位置服务可以表征为与其他数据协调手机区域或位置的应用程序,以便在合适的时间和正确的位置向客户提供服务的竞选价值。由于移动客户端可以在其缓存中具有有限的信息,因此当客户端缓存中没有空间时,它需要找出应该替换的数据对象。早期的缓存替换策略仅基于客户端访问模式的时间特征。本文提出了一种基于修改的预测区域的高速缓存替换策略(MPRRP),其考虑了用于估计替换成本的时间和空间属性。为了确保高效的缓存利用率,MPRRP在使用缓存替换时,MPRRP考虑了数据项的成本计算,例如客户端访问概率,例如客户端访问概率,查询率,更新速率,客户端位置和移动方向,以提高先前缓存替换的有效性政策。

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