CS cache engine: data access accelerator for location-based service in mobile environments

Ken C. K. Lee, Wang-Chien Lee, J. Winter, Baihua Zheng, Jianliang Xu
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引用次数: 7

Abstract

Location-based services (LBS) have emerged as one of the killer applications for mobile and pervasive computing environments. Due to limited bandwidth and scarce client resources, client-side data caching plays an important role of enhancing the data availability and improving the response time. In this demonstration, we present CS Cache Engine suitable for LBS. The underlying caching model is Complementary Space Caching (CS caching) scheme that we have recently presented in [citation]. Different from conventional data caching schemes, CS caching preserves a global view of the database by maintaining physical objects and capturing those objects in the server but not in the cache as Complementary Regions (CRs) in the cache. As a result, with the CS Cache Engine implementing CS caching, client assertiveness on their own answered queries is enhanced so that unnecessary requests over the wireless channel can be avoided; various kinds of location-based queries are naturally supported; and the client's ability to prefetch objects is introduced such that the response time can be further improved. In this demonstration paper, we discuss the architecture and the functionality of the CS Caching Engine that adopts CS caching. Specifically, for this demonstration, a tourist information named TravelGuide is prototyped with the support of this cache engine.
CS缓存引擎:移动环境中基于位置的服务的数据访问加速器
基于位置的服务(LBS)已经成为移动和普适计算环境的杀手级应用之一。由于带宽有限和客户端资源稀缺,客户端数据缓存在增强数据可用性和缩短响应时间方面发挥着重要作用。在这个演示中,我们提出了适合于LBS的CS缓存引擎。底层缓存模型是我们最近在[引文]中提出的互补空间缓存(CS缓存)方案。与传统的数据缓存方案不同,CS缓存通过维护物理对象并在服务器中(而不是在缓存中)作为互补区域(Complementary region, cr)捕获这些对象来保留数据库的全局视图。因此,使用CS缓存引擎实现CS缓存,客户端对自己回答的查询的自信心得到增强,从而可以避免无线通道上不必要的请求;自然支持各种基于位置的查询;并且引入了客户端预取对象的能力,从而进一步提高了响应时间。在这篇演示论文中,我们讨论了采用CS缓存的CS缓存引擎的体系结构和功能。具体来说,在这个演示中,一个名为TravelGuide的旅游信息的原型使用了这个缓存引擎的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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