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TrustCell: towards the end-to-end trustworthiness in data-oriented scientific computing

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2 Author(s)
Pallickara, S.L. ; Dept. of Comput. Sci., Indiana Univ., Bloomington, IN ; Plale, B.

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 first identify the role of trust in a large distributed computation then 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. We provide a case study of a data-driven scientific application that executed across multiple organizations

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Parallel Processing Workshops, 2006. ICPP 2006 Workshops. 2006 International Conference on

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