Assessment and enhancement of meta-schedulers for multi-site job sharing

Authors:
G. Sabin;Vishvesh Sahasrabudhe;P. Sadayappan
Affiliations:
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA;Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA;Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
Venue:
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
Year:
2005

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Abstract

Meta-schedulers such as the LSF MultiCluster scheduler and the Moab meta-scheduler (Silver) are being deployed on clusters interconnected over the grid. A primary goal of such meta-schedulers is to share jobs amongst the individual local sites, balancing the load and improving utilization and turnaround time. This work focuses on current methodologies used in implemented meta-schedulers, such as LSF MultiCluster and Silver. The benefits and disadvantages of both centralized and delegated modes are evaluated. Focusing on the negative impact of meta-schedulers to jobs originating from lightly loaded sites, enhancements are proposed and evaluated via trace-driven simulation. It is shown that it is feasible to reduce the detrimental impact on lightly loaded sites while maintaining excellent overall performance.