مقاله انگلیسی در زمینه آموزش الکترونیکی (مجازی)

Clustering in Peer-to-Peer File Sharing Workloads

Abstract

Peer-to-peer file sharing systems now generate
a significant portion of Internet traffic. A good
understanding of their workloads is crucial in order
to improve their scalability, robustness and
performance. Previous measurement studies on
Kazaa and Gnutella were based on monitoring
peer requests, and mostly concerned with peer
and file availability and network traffic. In this
paper, we take different measurements: instead
of passively recording requests, we actively probe
peers to get their cache contents information.
This provides us with a map of contents, that
we use to evaluate the degree of clustering in the
system 1, and that could be exploited to improve
significantly the search process.

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