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DATA GRIDS (OR, A DISTRIBUTED COMPUTING VIEW OF HIGH ENERGY PHYSICS) 114 Miron Livny Data Grids (or, A Distributed Computing View of High Energy Physics) Transcript of Presentation and PowerPoint Slides BIOSKETCH: Miron Livny is a professor of computer science at the University of Wisconsin at Madison. His interests are in high thoroughput computing, visual data exploration, experiment management environments, and performance evaluation. He received his PhD in computer science from the Weizmann Institute of Science, in Rehovot, Israel, in 1984. High-throughput computing is a challenging research area in which a wide range of techniques is employed to harness the power of very large collections of computing resources over long time intervals. His group is engaged in research efforts to develop management and scheduling techniques that empower high throughput computing on local and wide area clusters of distributively owned resources. The results of these efforts are translated into production code and are incorporated into Condor, a widely used, high-throughput computing system. The worldwide user community of Condor plays an important and active role in Dr. Livny's research, and researchers from a wide spectrum of scientific disciplines collaborate with his group in the development and evaluation of Condor. In the area of visual exploration of information, Dr. Livny's group works on developing a framework and tools for intuitive graphical interaction with collections of multimedia data. His framework is based on a declarative approach to the creation of active visual presentations of tabular data. He implements his tools in Java and works closely with domain scientists on testing and evaluating them with real data. Some of these are stored in scientific databases that are connected to real-time and off-line data sources.
