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End-to-end trustworthy data access in data-oriented scientific computing

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4 Author(s)
Pallickara, S.L. ; Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA ; Plale, B. ; Liang Fang ; Gannon, D.

Data-driven computational science on community computational resources is frequently of a magnitude and scale that it requires that computations be done remotely, generating resulting data collections that are too large to be shipped back to a user's workstation. Service-oriented middleware is well equipped to carry out actions on behalf of a user, but SOA middleware does not address user trust in the privacy of their actions and security of their data. In this paper we develop a model that represents the trust relationship between the users and their remote resources in the grid system. We show how one can construct a trusted relationship from the model, with an emphasis on the importance of context to a specific trust relationship.

Published in:

Cluster Computing and the Grid, 2006. CCGRID 06. Sixth IEEE International Symposium on  (Volume:1 )

Date of Conference:

16-19 May 2006