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Abstract: In this paper, we examine the problem of predicting machine availability in desktop and enterprise computing environments. Predicting the duration that a machine will run until it restarts (availability duration) is critically useful to application scheduling and resource characterization in federated systems. We describe one parametric model fitting technique and two non-parametric prediction techniques, comparing their accuracy in predicting the quantiles of empirically observed machine... (Update)
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BibTeX entry: (Update)
J. Brevik, D. Nurmi, and R. Wolski. Quantifying Machine Availability in Networked and Desktop Grid Systems. Technical Report CS2003-37, Dept. of Computer Science and Engineering, University of California at Santa Barbara, November 2003. http://citeseer.ist.psu.edu/brevik03quantifying.html More
@misc{ brevik03quantifying,
author = "J. Brevik and D. Nurmi and R. Wolski",
title = "Quantifying Machine Availability in Networked and Desktop Grid Systems",
text = "J. Brevik, D. Nurmi, and R. Wolski. Quantifying Machine Availability in
Networked and Desktop Grid Systems. Technical Report CS2003-37, Dept. of
Computer Science and Engineering, University of California at Santa Barbara,
November 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/brevik03quantifying.html" }
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