IEEE/ACM Transactions on Networking (TON)
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
Challenges in Implementing a Context-Aware System
IEEE Pervasive Computing
Cache Invalidation and Replacement Strategies for Location-Dependent Data in Mobile Environments
IEEE Transactions on Computers
Improving prediction level of prefetching for location-aware mobile information service
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
Caching and Prefetching for Web Content Distribution
Computing in Science and Engineering
A cache management object oriented simulation for mobile environments
Proceedings of the 10th ACM Symposium on Modeling, analysis, and simulation of wireless and mobile systems
A clustering-based prefetching scheme on a Web cache environment
Computers and Electrical Engineering
An Intelligent Technique for Controlling Web Prefetching Costs at the Server Side
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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In a mobile wireless environment, the latency (time-delay) observed by a user before s/he receives up-to-date information may be high because of the limited available bandwidth. An efficient prefetching strategy must be tailored to the competing goals of keeping latency low (which requires more prefetching) and reducing resource waste in a mobile environment, which is characterized by scarce bandwidth and resource-poor user devices. Current research is based on the tangent velocity approach, which is effective only within a short time interval and has a high cost of continuous geometric estimations.This paper proposes a cache management method that maintains the mobile terminal's cache content by prefetching data items with maximum benefit and evicting cache data entries with minimum benefit. The data item benefit is evaluated based on the user's query context defined as a set of constraints (predicates), which define both the movement pattern and information context requested by the mobile user. A context-aware cache is formed and maintained using a set of neighboring locations (we call the prime list) restricted by the validity of the data fetched from the server. Simulation results show that the proposed strategy using different levels of granularity can greatly improve the system performance in terms of cache hit ratio.