Enabling End-to-End Trustworthiness in Data-Oriented Scientific Computing

Download Now
Provided by: Indiana University
Topic: Data Management
Format: PDF
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, the authors 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.
Download Now

Find By Topic