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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.

ASSESSING REPUTATION AND TRUST IN SCIENTIFIC GRIDS