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Strategies for Cache Invalidation of Location Dependent Data in Mobile Environment

机译:移动环境中位置相关数据的缓存失效策略

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摘要

Mobile computing as compared to traditional computing paradigms enables clients to have unrestricted mobility while maintaining network connections. Data management in this paradigm poses new challenging problems to the data base community. Location Dependent Information Services (LDIS) is an emergent application in this area where information provided to users depends on their current locations. Data caching at mobile clients play a key role in data management due to its ability to improve system performance and overcome availability limitations. Spatial data cached in the mobile clients may become invalid because of the movement of the client. Cache Invalidation schemes aims to keep data consistency between the client's cache and the server. To maintain consistency ofLDD in cache, valid scope of that data item is identified and stored along with it in the client's cache. In this paper, we study the selection procedure of finding best suitable candidate for valid scope (i.e., best suitable sub polygon of a given polygon) and propose a generalized algorithm which selects the best suitable candidate for valid scope. We compare its performance with the existing algorithms. More over, we also introduced new algorithm CEFAB_G which tries to improve the performance by considering the user movement pattern and speculation about its future access.
机译:与传统的计算范例相比,移动计算使客户端在保持网络连接的同时具有不受限制的移动性。这种范例中的数据管理给数据库社区带来了新的挑战性问题。位置相关信息服务(LDIS)是该领域中的新兴应用程序,向用户提供的信息取决于他们当前的位置。移动客户端的数据缓存在数据管理中起着关键作用,因为它具有提高系统性能和克服可用性限制的能力。由于客户端的移动,缓存在移动客户端中的空间数据可能变得无效。缓存无效方案旨在保持客户端缓存和服务器之间的数据一致性。为了保持LDD在缓存中的一致性,该数据项的有效范围将被标识并与之一起存储在客户端的缓存中。在本文中,我们研究了为有效范围(即给定多边形的最适合子多边形)寻找最合适的候选者的选择过程,并提出了一种为有效范围选择最合适的候选者的通用算法。我们将其性能与现有算法进行比较。此外,我们还引入了新算法CEFAB_G,该算法试图通过考虑用户移动模式和对其未来访问的推测来提高性能。

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