| Alternate document: Details Predicting the Performance of Wide Area Data Transfers (02) Sudharshan Vazhkudai 1,3 Jennifer M. Schopf 2,3 Ian Foster 3,4 {vazhkuda, |
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Abstract: The increasingly common practice of (1) replicating datasets and (2) using resources as distributed data stores in Grid environments has lead to the problem of determining which replica can be accessed most efficiently. Due to diverse performance characteristics and load variations of several components in the end-to-end path linking these various locations, selecting a replica location from among many requires accurate prediction information of end-to-end data transfer times between the... (Update)
Context of citations to this paper: More
.... is the subject of significant research [5, 10, 26] Our particular experimental verification is similar to the work described in [25], but unlike that work, our new method does not rely on linear regression. Our results indicate that the combination of short NWS...
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BibTeX entry: (Update)
S. Vazhkudai and J. Schopf. Predicting sporadic grid data transfers. In Proceedings 11th IEEE Symposium on High Performance Distributed Computing (to appear) , July 2002. http://citeseer.ist.psu.edu/vazhkudai02predicting.html More
@misc{ vazhkudai02predicting,
author = "S. Vazhkudai and J. Schopf",
title = "Predicting sporadic grid data transfers",
text = "S. Vazhkudai and J. Schopf. Predicting sporadic grid data transfers. In
Proceedings 11th IEEE Symposium on High Performance Distributed Computing
(to appear) , July 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/vazhkudai02predicting.html" }
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www.cacr.caltech.edu/ppdg
http://www.netperf.org/netperf/NetperfPage.html
http://www.ligo.caltech.edu/
http://www.eudatagrid
http://www.mcs.anl.gov/~vazhkuda/Traces
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http://sara.unile.it/sara/
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