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Creators/Authors contains: "Ben Lyons and Douglas Thain"

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  1. (, IEEE International Conference on eScience)
    Workflow management systems (WMS) are widely used to describe and execute large computational or data intensive applications. However, when a large ensemble of workflows is run on a cluster, new resource management problems occur. Each WMS itself consumes otherwise unmanaged resources, such as the shared head node where the WMS coordinator runs, the shared filesystem where intermediate data is stored, and the shared batch queue itself. We introduce Mufasa, a meta-workflow management system, which is designed to control the concurrency of multiple workflows in an ensemble, by observing and controlling the resources required by each WMS. We show some initial results demonstrating that Mufasa correctly handles the overcommitment of different resource types by starting, pausing, and cancelling workflows with unexpected behavior. 
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    Accepted Manuscript Full Text Available