Scheduling malleable applications in multicluster systems

Authors:
Jeremy B. uisson;Ozan Sonmez;Hashim Mohamed;Wouter Lammers;Dick Epema
Affiliations:
IRISA/INSA de Rennes, Campus de Beaulieu, 35042 CEDEX, France;Delft University of Technology, P.O Box 5031, 2600 GA, The Netherlands;Delft University of Technology, P.O Box 5031, 2600 GA, The Netherlands;Delft University of Technology, P.O Box 5031, 2600 GA, The Netherlands;Delft University of Technology, P.O Box 5031, 2600 GA, The Netherlands
Venue:
CLUSTER '07 Proceedings of the 2007 IEEE International Conference on Cluster Computing
Year:
2007

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Abstract

In large-scale distributed execution environments such as multicluster systems and grids, resource availability may vary due to resource failures and because resources may be added to or withdrawn from such environments at any time. In addition, single sites in such systems may have to deal with workloads originating from both local users and from many other sources. As a result, application malleability, that is, the property of applications to deal with a varying amount of resources during their execution, may be very beneficial for performance. In this paper we present the design of the support of and scheduling policies for malleability in our Koala multicluster scheduler with the help of our Dynaco framework for application malleability. In addition, we show the results of experiments with scheduling malleable workloads with Koala in our DAS multicluster testbed.