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Computer Science Seminar Series Speaker |
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Center for High Throughput Computing
University of Wisconsin, Madison |
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February 19, 2010
11:00am-12:00pm
Donald Bren Hall 6011 |
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| The growing interest in clouds operated by commercial enterprises and the recent trend to deploy community owned overlay job managers on science grids have moved the spotlight from remote job execution to remote resource allocation (provisioning) mechanisms. While driven by different business models, both of these distributed infrastructures face a common challenge – how to effectively manage the allocation of resources in an environment characterized by heterogeneity, dynamic workloads, local autonomy and frequent failures. The Condor distributed job and resource management system is based on a design that treats remote resource allocation and remote work delegation as two distinct and independent mechanisms that are based on a novel matchmaking framework. We will present the implementation of these two mechanisms in Condor, report on the lessons we have learned from meeting the resource allocation needs of a broad range of distributed production environments, and discuss how we have been evolving the Condor technologies to address the resource allocation needs of applications that operate in mixed cloud/grid computing environment. We will also review how virtual-machine technologies have been integrated into the Condor management framework. |
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Miron Livny received a B.Sc. degree in Physics and Mathematics in 1975 from the Hebrew University and M.Sc. and Ph.D. degrees in Computer Science from the Weizmann Institute of Science in 1978 and 1984, respectively. Since 1983 he has been on the Computer Sciences Department faculty at the University of Wisconsin-Madison, where he is currently a Professor of Computer Sciences, the director of the Center for High Throughput Computing and is leading the Condor project. Dr. Livny's research focuses on distributed processing and data management systems and data visualization environments. His recent work includes the widely-used Condor distributed resource management system, the DEVise data visualization and exploration environment, and the BMRB repository for data from NMR spectroscopy. |
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School of Information and Computer Science
University of California, Irvine
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