Sleepers and workaholics: caching strategies in mobile environments
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Energy efficient indexing on air
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Using clustering for effective management of a semantic cache in mobile computing
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
A scalable low-latency cache invalidation strategy for mobile environments
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
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
Location dependent query processing
Proceedings of the 2nd ACM international workshop on Data engineering for wireless and mobile access
Semantic query caching in a mobile environment
ACM SIGMOBILE Mobile Computing and Communications Review
The Challenges of Mobile Computing
Computer
Semantic Data Caching and Replacement
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A predicate-based caching scheme for client-server database architectures
The VLDB Journal — The International Journal on Very Large Data Bases
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Location dependent data (LDD) is the data whose value is determined by the location to which it is related. In LDD system, caching is a crucial way to improve the performance because a new query can be partially answered locally when the client is continuously moving around. Semantic caching has been paid much attention in traditional database systems. However, the methods of semantic cache management proposed in those systems are not suitable for mobile computing environment. Moreover, although many improved semantic caching strategies for mobile computing application have been proposed in recent years, few papers discussed semantic cache coherence control, which is very important in mobile computing environment. In this paper, we propose PR-tree and HPIR based algorithm, which can significantly reduce the unnecessary uplink requests and downlink broadcasts compared to previous PIR based schemes. Simulation experiments are carried out to evaluate the proposed strategy.