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Analysis of speculative prefetching
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Source ACM SIGMOBILE Mobile Computing and Communications Review archive
Volume 6 ,  Issue 2  (April 2002) table of contents
Pages: 13 - 17  
Year of Publication: 2002
ISSN:1559-1662
Author
Michael Angermann  Institute for Communications and Navigation, Oberpaffenhofen, Germany
Publisher
ACM  New York, NY, USA
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ABSTRACT

Prefetching is a potential method to reduce waiting time for retrieving data over wireless network connections that commonly occur in mobile scenarios. These connections typically exhibit low bandwidth as well as high latency. This article analyzes fundamental principles in speculative prefetching. Based on a simplified system model, the influence of parameters and strategies on prefetching performance is investigated, both analytically and in simulation. The reduction of the mean waiting time is used as performance metric. An example is given that makes use of the Zipf distribution to demonstrate the influence of the documents' probability distribution and its parameters. A low-complexity algorithm that performs optimally under the given assumptions is presented.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Lee Breslau, Pei Cao, Li Fan, Graham Phillips, and Scott Shenker. Web caching and Zipf-like distributions: Evidence and implications, Proc. of the IEEE Infocom '99, New York, NY, March 1999.
 
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Mark Crovella and Paul Barford. The network effects of prefetching, Proc. of the IEEE Infocom '98, San Francisco, CA, March/April 1998.
 
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Thomas M. Kroeger and Darrell D. E. Long. Exploring the bounds of web latency reduction from caching and prefetching, Proceedings of the USENIX Symposium on Internet Technologies and Systems, Monterey, California, December 1997.
 
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