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	SCHEDULE: NOV 11-17, 2006 Evaluation of a Workflow Scheduler Using Integrated Performance Modeling and Batch Queue Wait Time Prediction Session: Grid Scheduling and Protocols Event Type: Paper Time: 2:00pm - 2:30pm Session Chair: Adriana Iamnitchi Author(s): Daniel Nurmi, Anirban Mandal, John Brevik, Chuck Koelbel, Rich Wolski, Ken Kennedy Location: 20-21 Abstract: The scheduling of workflows across widely distributed resources has been the topic of a great deal of research in the past few years and, although algorithms have been devised, a very specific aspect of these systems, namely that most supercomputing resources employ batch queue scheduling software, has heretofore been omitted from consideration, presumably because it is difficult to model accurately. In this work, we introduce two techniques which augment an existing workflow scheduler. These methods make accurate predictions of the performance of the application on specific hardware and the amount of time individual workflow tasks will spend waiting in batch queues, respectively. Our results show that these enhancements improve workflow execution time in settings where overcommited batch queues impose significant delays on constituent workflow tasks. This paper can be found in the ACM and IEEE Digital Libaries Click here for ACM Click here for IEEE Chair/ Author Details: Adriana Iamnitchi (Chair) University of South Florida Daniel Nurmi University of California, Santa Barbara Anirban Mandal Rice University John Brevik University of California, Santa Barbara Chuck Koelbel Rice University Rich Wolski University of California, Santa Barbara Ken Kennedy Rice University
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