Using speculation to reduce server load and service time on the WWW
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An Experimental Study of Prefetching and Caching Algorithms for the World Wide Web
ALENEX '02 Revised Papers from the 4th International Workshop on Algorithm Engineering and Experiments
Determining WWW User's Next Access and Its Application to Pre-fetching
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
Exploring the bounds of web latency reduction from caching and prefetching
USITS'97 Proceedings of the USENIX Symposium on Internet Technologies and Systems on USENIX Symposium on Internet Technologies and Systems
User’s rough set based fuzzy interest model in mining WWW cache
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
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Abstract In an earlier paper, the potential of speculation (server-initiated prefetching) in distributed information systems (such as the WWW) was investigated and shown to be effective in reducing service time and server load. This speculation was based on statistical information that the server maintains for each document it serves. In this paper we study the performance of a client-initiated prefetching protocol, whereby speculation is based on past user-specific access patterns. In this paper we present results of trace-driven simulation experiments we performed using extensive user traces.