The LRU-K page replacement algorithm for database disk buffering
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Sleepers and workaholics: caching strategies in mobile environments
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Using semantic caching to manage location dependent data in mobile computing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Computational Geometry in C
Broadcasting and caching policies for location-dependent queries in urban areas
WMC '02 Proceedings of the 2nd international workshop on Mobile commerce
Data Management in Location-Dependent Information Services
IEEE Pervasive Computing
Cache Invalidation and Replacement Strategies for Location-Dependent Data in Mobile Environments
IEEE Transactions on Computers
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A Generalized Target-Driven Cache Replacement Policy for Mobile Environments
SAINT '03 Proceedings of the 2003 Symposium on Applications and the Internet
MobiQuery: a spatiotemporal data service for sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An overview of web caching replacement algorithms
IEEE Communications Surveys & Tutorials
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Location Dependent Information Services (LDISs) provide information to mobile users depending on their current location. Data has to be transferred from the server to the mobile device, whenever required, due to mobile client's memory constraint. To improve system performance in mobile environment, frequently accessed data must be cached on the mobile client. In this paper, we propose a new cache replacement policy, the Prioritised Predicted Region based Cache Replacement Policy (PPRRP), which uses a cost function for data eviction based on the client's movement pattern. Earlier policies considered only the data distance. Simulation results show significant improvement in system performance with our policy.