Publication Type
Conference Paper
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’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.
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.
Publication Links
Year of Publication
2003
