Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Predicting web actions from HTML content
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
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
An adaptive network prefetch scheme
IEEE Journal on Selected Areas in Communications
ZOOMM: a parallel web browser engine for multicore mobile devices
Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming
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This paper provides a synopsis of a server-driven link prefetching mechanism that we have designed and implemented for the Mozilla web browser, a popular Open Source web browser. The mechanism depends on the origin server or an intermediate proxy server determining the best set of documents for the browser to prefetch. The browser follows prefetch directives provided by the server, either embedded in an HTML document using the 〈LINK〉 tag or specified via Link HTTP response headers. The browser determines when best to prefetch the specified URLs based on its own heuristics. In this paper, we describe the mechanism and discuss some of the practical issues that impacted its design and implementation.