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A Toolkit for Analyzing Client Access Patterns in the World-Wide Web

The explosive growth of the World-Wide Web increases demand for improved facilities for caching and replication. Better understanding of user access patterns is a prerequisite for improvement. Most wide-area information servers are instrumented to collect statistics about document retrieval. However, server-side tracing offers a limited picture of client access patterns and navigation strategies in the multiprotocol, multi-server Web. To characterize client patterns that involve several protocols and many servers, it is necessary to instrument clients as well as servers. This paper describes a toolkit for collecting and analyzing information from clients about wide-area access patterns in the Web. This research was funded by the Advanced Research Project Agency , under contract number F19628-93-C-1076. The views and conclusions expressed in this paper are those of the authors and do not represent the official position of ARPA, Transarc Corporation or Carnegie Mellon University .