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Abstract: Simulations with web traffic usually generate input by sampling a heavy-tailed object size distribution. As a consequence these simulations remain in transient state over all periods of time, i.e. all statistics that depend on moments of this distribution, such as the average object size or the average user-perceived latency of downloads, do not converge within periods practically feasible for simulations. We therefore investigate whether the 95-th, 98-th, and 99-th latency percentiles, which... (Update)
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BibTeX entry: (Update)
Ulrich Fiedler and Bernhard Plattner. Using Latency Quantiles to Engineer QoS Guarantees for Web Services. Lecture Notes in Computer Science, 2707, 2003. http://citeseer.ist.psu.edu/fiedler03using.html More
@article{ fiedler01towards,
author = "Ulrich Fiedler and Bernhard Plattner",
title = "Using Latency Quantiles to Engineer QoS Guarantees for Web Services",
journal = "Lecture Notes in Computer Science",
volume = "2707",
pages = "345 ",
year = "2003",
url = "citeseer.ist.psu.edu/fiedler03using.html",
url = "citeseer.nj.nec.com/590265.html" }
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