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Abstract: The computational grid is becoming the platform of choice for large-scale distributed data-intensive applications. Accurately predicting the transfer times of remote data les, a fundamental component of such applications, is critical to achieving application performance. In this paper, we introduce a performance prediction method, ARM (Adaptive Regression Modeling), to determine data transfer times for network-bound distributed dataintensive applications. We demonstrate the e ectiveness of... (Update)
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BibTeX entry: (Update)
M. Faerman, A. Su, R. Wolski, and F. Berman. Adaptive performance prediction for distributed data-intensive applications. In Proceedings of Supercomputing 1999. IEEE Computer Society Press, 1999. Available at http://www.cs.ucsd.edu/groups/hpcl/apples/hetpubs. html. http://citeseer.ist.psu.edu/faerman99adaptive.html More
@techreport{ faerman99adaptive,
author = "Marcio Faerman and Alan Su and Richard Wolski and Francine Berman",
title = "Adaptive Performance Prediction for Distributed Data-Intensive Applications",
number = "CS1999-0619",
month = "18,",
pages = "8",
year = "1999",
url = "citeseer.ist.psu.edu/faerman99adaptive.html" }
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