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CS cache engine: data access accelerator for location-based service in mobile environments
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Proceedings of the 2006 ACM SIGMOD international conference on Management of data table of contents
Chicago, IL, USA
DEMONSTRATION SESSION: Group C table of contents
Pages: 787 - 789  
Year of Publication: 2006
ISBN:1-59593-434-0
Authors
Ken C. K. Lee  Pennsylvania State University, PA
Wang-Chien Lee  Pennsylvania State University, PA
Julian Winter  Pennsylvania State University, PA
Baihua Zheng  Singapore Management University, Singapore
Jianliang Xu  Hong Kong Baptist University, Hong Kong
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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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.



Collaborative Colleagues:
Ken C. K. Lee: colleagues
Wang-Chien Lee: colleagues
Julian Winter: colleagues
Baihua Zheng: colleagues
Jianliang Xu: colleagues