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A Statistical Analysis of User-Specific Profiles

By Zheng Wang and Wang Rubin

Abstract

This technical report examines common assumptions about computer users in profile-based optimization. We study execution profiles of interactive applications on Windows NT to understand how different users use the same program. The profiles were generated by the DIGITAL FX!32 emulator/binary translator system, which automatically runs the x86 version of Windows NT programs on NT/Alpha computers. Our statistical analysis indicates that people use the benchmark programs in different ways. This technical report is a supplement to the paper "Evaluating the Importance of User-Specific Profiling," to appear in "Proceedings of the 2nd USENIX Windows NT Symposium," USENIX Association, August 1998.Engineering and Applied Science

Year: 2016
OAI identifier: oai:dash.harvard.edu:1/24947996
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