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Authors: A. B. M. Russel and Savitri Bevinakoppa

Affiliation: School of Computer Science & Information Technology, Royal Melbourne Institute of Technology (RMIT) University, Australia

Keyword(s): Performance prediction heuristics, Data transfer, Node selection, Grid environment, Globus, GridFTP, NWS

Related Ontology Subjects/Areas/Topics: Enterprise Information Systems ; Internet and Collaborative Computing ; Object Orientation in Internet and Distributed Computing ; Software Agents and Internet Computing

Abstract: In a Grid environment, implementing a parallel algorithm for data transfer or multiple parallel jobs allocation doesn’t give reliable data transfer. There is a need to predict the data transfer performance before allocating the parallel processes on grid nodes. In this paper we propose a predictive framework for performing efficient data transfer. Our framework considers different phases for providing information about efficient and reliable participating nodes in a computational Grid environment. Experimental results reveal that multivariable predictors provide better accuracy compared to univariable predictors. We observe that the Neural Network prediction technique provides better prediction accuracy compared to the Multiple Linear Regression and Decision Regression. Proposed ranking factor overcomes the problem of considering fresh participating nodes in data transfer.

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Paper citation in several formats:
B. M. Russel, A. and Bevinakoppa, S. (2005). PREDICTING THE PERFORMANCE OF DATA TRANSFER IN A GRID ENVIRONMENT - A predictive framework for efficient data transfer in a Grid environment. In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 4: ICEIS; ISBN 972-8865-19-8; ISSN 2184-4992, SciTePress, pages 176-181. DOI: 10.5220/0002537401760181

@conference{iceis05,
author={A. {B. M. Russel}. and Savitri Bevinakoppa.},
title={PREDICTING THE PERFORMANCE OF DATA TRANSFER IN A GRID ENVIRONMENT - A predictive framework for efficient data transfer in a Grid environment},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 4: ICEIS},
year={2005},
pages={176-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002537401760181},
isbn={972-8865-19-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 4: ICEIS
TI - PREDICTING THE PERFORMANCE OF DATA TRANSFER IN A GRID ENVIRONMENT - A predictive framework for efficient data transfer in a Grid environment
SN - 972-8865-19-8
IS - 2184-4992
AU - B. M. Russel, A.
AU - Bevinakoppa, S.
PY - 2005
SP - 176
EP - 181
DO - 10.5220/0002537401760181
PB - SciTePress

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