ASSESSING REPUTATION AND TRUST IN SCIENTIFIC GRIDS

Andrea Bosin, Nicoletta Dessi, Balachandar Ramachandriya Amarnath

Abstract

Up to now, reputation and trust are widely acknowledged to be important for business environments, but little attention has been placed in security aspects of Grids devoted to scientific applications. This paper addresses these aspects and proposes both a Reputation Management System and a mechanism for assessing the reputation of computing resources belonging to a scientific Grid. Because the overall performance of the Grid depends on the quality of service given by each single resource, the resource reputation is a measure of trustworthiness, in the sense of reliability and is asserted on a set of properties, namely the resource operative context, that express the resource capability in providing available and reliable services. Unlike the business applications, we are not interested in assessing the reputation of a single resource but in finding a set of resource that have similar capabilities of successfully executing a specific job. Toward this end, the paper proposes a mechanism that assesses reputation by clustering Grid resources in groups that exhibit similar behavioural patterns and share similar operative contexts. Simulation results show the effectiveness of the proposed approach and the possible integration of such a model in a real Grid.

References

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Paper Citation


in Harvard Style

Bosin A., Dessi N. and Ramachandriya Amarnath B. (2008). ASSESSING REPUTATION AND TRUST IN SCIENTIFIC GRIDS . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 978-989-8111-38-8, pages 235-238. DOI: 10.5220/0001691202350238


in Bibtex Style

@conference{iceis08,
author={Andrea Bosin and Nicoletta Dessi and Balachandar Ramachandriya Amarnath},
title={ASSESSING REPUTATION AND TRUST IN SCIENTIFIC GRIDS},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2008},
pages={235-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001691202350238},
isbn={978-989-8111-38-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - ASSESSING REPUTATION AND TRUST IN SCIENTIFIC GRIDS
SN - 978-989-8111-38-8
AU - Bosin A.
AU - Dessi N.
AU - Ramachandriya Amarnath B.
PY - 2008
SP - 235
EP - 238
DO - 10.5220/0001691202350238