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

Abstract

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.