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Dynamic Fractional Resource Scheduling for cluster platforms

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1 Author(s)
Stillwell, M. ; Dept. of Inf. & Comput. Sci., Univ. of Hawai''i at Manoa, Honolulu, HI, USA

We propose a novel approach, called Dynamic Fractional Resource Scheduling (DFRS), to share homogeneous cluster computing platforms among competing jobs. DFRS leverages virtual machine technology to share node resources in a precise and controlled manner. A key feature of this approach is that it defines and optimizes a user-centric metric of performance and fairness. We explain the principles behind DFRS and its advantages over the current state of the art, develop a model of resource sharing, and summarize results from two different simulation experiments: one comparing various heuristics in an off-line setting and another comparing our heuristics to current technology in an on-line setting. Finally, we summarize our conclusions and describe our plans for future research.

Published in:

Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on

Date of Conference:

19-23 April 2010