Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Foundations of queueing theory
Foundations of queueing theory
Predicting web actions from HTML content
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Analysis of speculative prefetching
ACM SIGMOBILE Mobile Computing and Communications Review
Resource-aware speculative prefetching in wireless networks
Wireless Networks
A Real-Time Evolutionary Algorithm for Web Prediction
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Predictive distance-based mobility management for multidimensional PCS networks
IEEE/ACM Transactions on Networking (TON)
Application signal threshold adaptation for vertical handoff in heterogeneous wireless networks
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Adaptive power-aware prefetch in wireless networks
IEEE Transactions on Wireless Communications
Next-generation wireless communications concepts and technologies
IEEE Communications Magazine
An adaptive network prefetch scheme
IEEE Journal on Selected Areas in Communications
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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We study the performance of a multi-user prefetching strategy in a two-tier heterogeneous wireless network. A predictive framework was previously introduced for mobility-aware document prefetching to enhance the experience of a mobile user roaming between heterogeneous wireless access networks. However, an undesirable effect of multiple prefetching users is the potential for system instability due to the racing behavior between document access delay and user prefetch quantity. This phenomenon is particularly acute in the heterogeneous environment. We propose to alleviate the system traffic load through optimizing a prefetch thresholding algorithm, accounting for server queuing prioritization. We evaluate the performance of the proposed algorithm through numerical analysis and simulation. We show that stability can be maintained even under heavy usage, providing both the same scalability as a non-prefetching system and the performance gains associated with prefetching.