Speaker
Sanjay Ranka
(University of Florida)
Description
Grid computing is becoming a popular way of providing high performance computing for
many data intensive, scientific applications. The execution of user applications must
simultaneously satisfy both job execution constraints and system usage policies. The
SPHINX middleware addresses both these issues. In this paper, we present performance
results of SPHINX on Open Science Grid. The simulation and execution results show
that we can reduce the completion time of workflows.
Primary author
Sanjay Ranka
(University of Florida)
Co-authors
Jang-Uk In
(University of Florida)
Laukik Chitnis
(University of Florida)
Michael Thomas
(California Institute of Technology)
Paul Avery
(University of Florida)
Richard Cavanaugh
(University of Florida)
