September 27, 2004 to October 1, 2004
Interlaken, Switzerland
Europe/Zurich timezone

SPHINX: A Scheduling Middleware for Data Intensive Applications on a Grid

Sep 30, 2004, 2:40 PM
20m
Theatersaal (Interlaken, Switzerland)

Theatersaal

Interlaken, Switzerland

oral presentation Track 4 - Distributed Computing Services Distributed Computing Services

Speaker

R. Cavanaugh (UNIVERSITY OF FLORIDA)

Description

A grid consists of high-end computational, storage, and network resources that, while known a priori, are dynamic with respect to activity and availability. Efficient co-scheduling of requests to use grid resources must adapt to this dynamic environment while meeting administrative policies. We discusses the necessary requirements of such a scheduler and introduce a distributed framework called SPHINX that schedules complex, data intensive High Energy Physics and Data Mining applications in a grid environment, respecting local and global policies along with a specified level of quality of service. The SPHINX design allows for a number of functional modules and/or distributed services to flexibly schedule workflows representing multiple applications on grids. We present experimental results for SPHINX that effectively utilize existing grid middleware such as monitoring and workflow management/execution systems. These results demonstrate that SPHINX can successfully schedule work across a large number of grid sites that are owned by multiple units in a virtual organization.

Primary authors

J.U. In (UNIVERSITY OF FLORDIA) L. Chitnis (University of Florida) M. Kulkarni (UNIVERSITY OF FLORIDA) P. Avery (UNIVERSITY OF FLORIDA) R. Cavanaugh (UNIVERSITY OF FLORIDA) S. Ranka (UNIVERSITY OF FLORIDA)

Presentation materials