Web caching and replication
A context-aware prefetching strategy for mobile computing environments
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Web latency reduction via client-side prefetching
ISPASS '00 Proceedings of the 2000 IEEE International Symposium on Performance Analysis of Systems and Software
Web Prefetching Control Model Based on Prefetch-Cache Interaction
SKG '05 Proceedings of the First International Conference on Semantics, Knowledge and Grid
Web prefetching performance metrics: a survey
Performance Evaluation
Multiuser prefetching with queuing prioritization in heterogeneous wireless systems
QShine '06 Proceedings of the 3rd international conference on Quality of service in heterogeneous wired/wireless networks
The Impact of the Web Prefetching Architecture on the Limits of Reducing User's Perceived Latency
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Exploring the bounds of web latency reduction from caching and prefetching
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
Web prefetch performance evaluation in a real environment
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
An adaptive network prefetch scheme
IEEE Journal on Selected Areas in Communications
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Prefetching is an interesting technique for improving web performance by reducing the user-perceived latency when surfing the web. Nevertheless, due to its speculative nature, prefetching can increase the network traffic and the server load. This could negatively affect the overall system performance and decrease the quality of service. To minimize and maintain under control these adverse effects, in this paper we propose an intelligent prefetching mechanism that dynamically adjusts the aggressiveness of the prefetching algorithm at the server side. To this end, we also propose a traffic estimation model that permits to accurately calculate, in the server side, the extra load and traffic generated by the prefetching. The performance evaluation study shows that our proposal effectively regulates the adverse effects of web prefetching without affecting its benefits.