02171nas a2200145   4500008004100000245008000041210006900121260000900190300001500199520162700214100002101841700002001862700002401882856011901906       2004                        eng d00aPredictive Prefetching on the Web and its Potential Impact in the Wide Area0 aPredictive Prefetching on the Web and its Potential Impact in th  cJune  a 143 - 1793 aThe 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’s Transparent cache (primary caching
point), located at GRNET’s edge connection to the Internet. We present the parameters that are most important for
prefetching on GRNET’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 “n most popular document” 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.1 aBouras, Christos1 aKonidaris, Agis1 aKostoulas, Dionisis  uhttp://telematics.upatras.gr/telematics/publications/predictive-prefetching-web-and-its-potential-impact-wide-area01324nas a2200145   4500008004100000245007900041210006900120260001900189300001300208520076800221100002100989700002001010700002401030856012401054       2003                        eng d00aEfficient Reduction of Web Latency through Predictive Prefetching on a WAN0 aEfficient Reduction of Web Latency through Predictive Prefetchin  c17 - 19 August  a 25 - 363 aThis 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’s Transparent cache (primary caching point), located at GRNET’s edge
connection to the Internet. We present the parameters that are most important
for prefetching on GRNET’s architecture and provide preliminary results of an
experimental study, quantifying the benefits of prefetching on the WAN.1 aBouras, Christos1 aKonidaris, Agis1 aKostoulas, Dionisis  uhttp://telematics.upatras.gr/telematics/publications/efficient-reduction-web-latency-through-predictive-prefetching-wan01208nas a2200145   4500008004100000245010500041210006900146260002000215300001500235520060200250100002100852700002000873700002400893856014500917       2003                        eng d00aA Most Popular Approach of Predictive Prefetching on a WAN to Efficiently Improve WWW Response Times0 aMost Popular Approach of Predictive Prefetching on a WAN to Effi  c7 - 10 Devember  a 344 - 3513 aThis 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’s Transparent
cache (primary caching point), located at GRNET’s edge connection to the
Internet. Our prefetching model bases its predictions on popularity ranking of
passed requests. We present a “n-next most popular” approach used for prefetching
on GRNET’s architecture and provide preliminary results of our experimental
study, quantifying the benefits of prefetching on the WAN.1 aBouras, Christos1 aKonidaris, Agis1 aKostoulas, Dionisis  uhttp://telematics.upatras.gr/telematics/publications/most-popular-approach-predictive-prefetching-wan-efficiently-improve-www-response-times