[Colloquium] Hu/M.S. Presentation/Feb. 9, 2004

[Margaret Jaffey]

This is an announcement of Yu Hu's Master's Presentation.

Date:	 Monday, February 9, 2004

Time:	 2:30 p.m.

Place:  Ryerson 251

M.S. Candidate:  Yu Hu

M.S. Paper:  IBL for replica selection in data intensive Grid 
applications

Abstract:

In many scientific applications, Grid technologies and infrastructures 
facilitate distributed resource sharing and coordination in dynamic, 
heterogeneous multi-institutional environments.  Replication of date 
can help enable high throughput file transfer and scalable resource 
storage in these scientific Grid applications that involve large data 
transfers.  However, the selection of a replica can significantly 
influence the efficiency of a replication scheme.  Many current 
approaches assume that a significant amount of data is available, such 
as network status information, log files of historical GridFtp file 
transfers, CPU status and predictions, etc.  We propose a lightweight 
Instance-Based Learning (IBL) algorithm to allow efficient replica 
selection with much less required data.  We implement the approach and 
evaluate it in a Grid environment.  Our evaluation demonstrates that 
the IBL approach can be an efficient tool for replica selection when 
only limited data sources are available.

Mr. Hu's advisors:  Ian Foster and L. Ridgway Scott

A draft copy of the M.S. paper is available for review in Ry 161A.

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Margaret P. Jaffey				margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 161A)		(773) 702-6011
The University of Chicago		http://www.cs.uchicago.edu
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