|Jon Weissman, Ph.D.
Department of Computer of Science and Engineering
University of Minnesota, Twin Cities
Abstract: The standard model of Cloud Computing posits a collection of a few largely centralized data-centers where data and computing are consolidated exploiting locality and economies of scale. This attempt to "tame" a distributed world suffers when (1) the data is large and widely distributed, and (2) an application wishes to span multiple clouds. In this talk, we present our work with a wide-area version of MapReduce that can be applied to widely dispersed data including across multiple data-centers, and a proxy cloud that can optimize cloud-to-cloud and user-cloud interactions.
Bio: Jon B. Weissman is a leading researcher in the area of Grid computing. His involvement dates back to the influential Legion project at the University of Virginia during his Ph.D. He is currently an Associate Professor of Computer Science at the University of Minnesota where he leads the Distributed Computing Systems Group. His current research interests are in Grid computing, distributed systems, high performance computing, resource management, reliability, and e-science applications. He works primarily at the boundary between applications and systems. He received his B.S. degree from Carnegie-Mellon University in 1984, and his M.S. and Ph.D. degrees from the University of Virginia in 1989 and 1995, respectively, all in computer science. He is a senior member of the IEEE. Jon has also been appointed an Honorary Fellow of the College of Science and Engineering at the University of Edinburgh.