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Improving End-to-End Performance of the Web Using Server Volumes and
Proxy Filters
Edith Cohen, Balachander Krishnamurthy, and Jennifer Rexford (AT&T Labs--Research)
The rapid growth of the World Wide Web has caused serious performance
degradation on the Internet. This paper offers an end-to-end approach
to improving Web performance by collectively examining the Web
components { clients, proxies, servers, and the network. Our goal is
to reduce user-perceived latency and the number of TCP connections,
improve cache coherency and cache replacement, and enable prefetching
of resources that are likely to be accessed in the near future. In our
scheme, server response messages include piggybacked information
customized to the requesting proxy. Our enhancement to the existing
request-response protocol does not require per-proxy state at a
server, and a very small amount of transient per-server state at the
proxy, and can be implemented without changes to HTTP 1.1. The server
groups related resources into volumes (based on access patterns and
the file system's directory structure) and applies a proxy-generated
filter (indicating the type of information of interest to the proxy)
to tailor the piggyback information. We present efficient data
structures for constructing server volumes and applying proxy filters,
and a transparent way to perform volume maintenance and piggyback
generation at a router along the path between the proxy and the
server. We demonstrate the effectiveness of our end-to-end approach by
evaluating various volume construction and filtering techniques across
a collection of large client and server logs.
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