OPTIMAL INFORMATION GATHERING SCHEME OVER A SCALABLE GRID INFORMATION SERVICES ARCHITECTURE
Nianjun Zhou, Dikran Meliksetian, Jean-Pierre Prost, Irwin Boutboul
2006
Abstract
A proactive model for gathering resource attribute values in large scale distributed systems is proposed and analyzed within the context of resource discovery. This model, based on a tree topology, relies on information reduction to limit the amount of information collected at each node of the tree structure and to minimize information update and query cost. A Markov chain is used to model resource attribute value changes. This model is solved using dynamic programming to determine the optimal reduction scheme that minimizes the overall cost of updating and querying resource attributes.
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Paper Citation
in Harvard Style
Zhou N., Meliksetian D., Prost J. and Boutboul I. (2006). OPTIMAL INFORMATION GATHERING SCHEME OVER A SCALABLE GRID INFORMATION SERVICES ARCHITECTURE . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-972-8865-46-7, pages 184-189. DOI: 10.5220/0001256801840189
in Bibtex Style
@conference{webist06,
author={Nianjun Zhou and Dikran Meliksetian and Jean-Pierre Prost and Irwin Boutboul},
title={OPTIMAL INFORMATION GATHERING SCHEME OVER A SCALABLE GRID INFORMATION SERVICES ARCHITECTURE},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2006},
pages={184-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001256801840189},
isbn={978-972-8865-46-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - OPTIMAL INFORMATION GATHERING SCHEME OVER A SCALABLE GRID INFORMATION SERVICES ARCHITECTURE
SN - 978-972-8865-46-7
AU - Zhou N.
AU - Meliksetian D.
AU - Prost J.
AU - Boutboul I.
PY - 2006
SP - 184
EP - 189
DO - 10.5220/0001256801840189