@article {3037, title = {Predictive Prefetching on the Web and its Potential Impact in the Wide Area}, journal = {World Wide Web Journal: Internet and Web Information Systems, Kluwer Academic Publishers, Vol. 7, Issue 2}, year = {2004}, month = {June}, pages = { 143 - 179}, abstract = {The rapid increase of World Wide Web users and the development of services with high bandwidth requirements have caused the substantial increase of response times for users on the Internet. Web latency would be significantly reduced, if browser, proxy or Web server software could make predictions about the pages that a user is most likely to request next, while the user is viewing the current page, and prefetch their content. In this paper we study Predictive Prefetching on a totally new Web system architecture. This is a system that provides two levels of caching before information reaches the clients. This work analyses prefetching on a Wide Area Network with the above mentioned characteristics. We first provide a structured overview of predictive prefetching and show its wide applicability to various computer systems. TheWAN that we refer to is the GRNET academic network in Greece. We rely on log files collected at the network{\textquoteright}s Transparent cache (primary caching point), located at GRNET{\textquoteright}s edge connection to the Internet. We present the parameters that are most important for prefetching on GRNET{\textquoteright}s architecture and provide preliminary results of an experimental study, quantifying the benefits of prefetching on theWAN. Our experimental study includes the evaluation of two prediction algorithms: an {\textquotedblleft}n most popular document{\textquotedblright} algorithm and a variation of the PPM (Prediction by Partial Matching) prediction algorithm. Our analysis clearly shows that Predictive prefetching can improve Web response times inside the GRNET WAN without substantial increase in network traffic due to prefetching.}, author = {Christos Bouras and Agis Konidaris and Dionisis Kostoulas} } @conference {2748, title = {Efficient Reduction of Web Latency through Predictive Prefetching on a WAN}, booktitle = {The Fourth International Conference on Web - Age Information Management (WAIM03) Chengdu, China}, year = {2003}, month = {17 - 19 August}, pages = { 25 - 36}, abstract = {This paper studies Predictive Prefetching on a Web system that provides two levels of caching before information reaches the clients. We analyze prefetching on a Wide Area Network with the above mentioned characteristics. First, we provide a structured overview of predictive prefetching and show its wide applicability to various computer systems. The WAN that we refer to is the GRNET academic network in Greece. We rely on log files collected at the network{\textquoteright}s Transparent cache (primary caching point), located at GRNET{\textquoteright}s edge connection to the Internet. We present the parameters that are most important for prefetching on GRNET{\textquoteright}s architecture and provide preliminary results of an experimental study, quantifying the benefits of prefetching on the WAN.}, author = {Christos Bouras and Agis Konidaris and Dionisis Kostoulas} } @conference {2737, title = {A Most Popular Approach of Predictive Prefetching on a WAN to Efficiently Improve WWW Response Times}, booktitle = {The Second International Workshop on Grid and Cooperative Computing, Shangai, China}, year = {2003}, month = {7 - 10 Devember}, pages = { 344 - 351}, abstract = {This paper studies Predictive Prefetching on a Wide Area Network with two levels of caching. The WAN that we refer to is the GRNET academic network in Greece. We rely on log files collected at the network{\textquoteright}s Transparent cache (primary caching point), located at GRNET{\textquoteright}s edge connection to the Internet. Our prefetching model bases its predictions on popularity ranking of passed requests. We present a {\textquotedblleft}n-next most popular{\textquotedblright} approach used for prefetching on GRNET{\textquoteright}s architecture and provide preliminary results of our experimental study, quantifying the benefits of prefetching on the WAN.}, author = {Christos Bouras and Agis Konidaris and Dionisis Kostoulas} }