Web prefetch performance evaluation in a real environment
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
An Empirical Study on Maximum Latency Saving in Web Prefetching
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Referrer graph: a low-cost web prediction algorithm
Proceedings of the 2010 ACM Symposium on Applied Computing
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Despite the wide and intensive research efforts focused on web prediction and prefetching techniques aimed to re- duce user's perceived latency, few attempts to implement and use them in real environments have been done, mainly due to their complexity and supposed limitations that low user available bandwidths imposed few years ago. Nev- ertheless, current user bandwidths open a new scenario for prefetching that becomes again an interesting option to improve web performance. This paper presents Delfos, a framework to perform web predictions and prefetching on a real environment that tries to cover the existing gap between research and praxis. Delfos is integrated in the web archi- tecture without modifying the standard HTTP 1.1 protocol, and acts inserting predictions in the web server side, while prefetchs are carried out by the client. In addition, it can be also used as a flexible framework to evaluate and com- pare existing prefetching techniques and algorithms and to assist in the design of new ones because it provides detailed statistics reports.