报告人：Geoffrey Fox
时间：2015年8月20日上午9：50-10：40
Abstract
We discuss study of the nature and requirements of many big data applications in terms of Ogres that describe important general characteristics. We develop ways of categorizing applications with features or facets that are useful in understanding suitable software and hardware approaches where 6 different broad paradigms are identified. This allows study of benchmarks and to understand when high performance computing (HPC) is useful. We propose adoption of DevOps motivated scripts to support hosting of applications on the many different infrastructures like OpenStack, Docker, OpenNebula, Commercial clouds and HPC supercomputers.
Bio
Professor Fox is a distinguished professor of Informatics and Computing, and Physics at Indiana University where he is director of the Digital Science Center and Associate Dean for Research and Graduate Studies at the School of Informatics and Computing. He has supervised the Ph.D. of 61 students and published over 600 papers in physics and computer science. He currently works in applying computer science to Bioinformatics, Defense, Earthquake and Icesheet Science, Particle Physics and Chemical Informatics. He is principal investigator of FutureGrid - a new facility to enable development of new approaches to computing. Professor Fox is a Fellow of ACM.
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