End-to-End Trustworthy Data Access in Data-Oriented Scientific Computing

  • Authors:
  • Sangmi Lee Pallickara;Beth Plale;Liang Fang;Dennis Gannon

  • Affiliations:
  • Indiana University, USA;Indiana University, USA;Indiana University, USA;Indiana University, USA

  • Venue:
  • CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.