Computer Science and Big Data Systems Research at Clemson

Presenters: 
Amy Apon, Professor and Chair, Division of Computer Science, Clemson University
Date: 
May 23, 2013 - 2:00 PM
Location: 
338 Woodward
Refreshments will be served. This talk will be in two parts. The first part of the talk will provide an overview of the Division of Computer Science at Clemson, including an overview of the research strengths and highlights of some of the most significant projects. Research areas include computer and network systems, algorithms and applications of algorithms, and software engineering. In addition to fundamental research in areas such as software verification and big data systems, interdisciplinary research is a strength of the division. Collaborative projects come from a broad set of areas, including applied ecology, agriculture, health, medicine, bioinformatics, computational biology, transportation analytics, social media, and others. The Intelligent Riverâ„¢ project, led by computer scientists at Clemson, is an exemplar project to build a macroscope and monitoring system of an entire river watershed. Much of the research in computer science leverages the extensive investments that Clemson has made in high performance computing and advanced cyberinfrastructure.   The second part of the talk will focus on the JUMMP research project in the Big Data Systems Laboratory, led by Amy Apon. JUMMP, the Job Uninterrupted Maneuverable MapReduce Platform, is an automated scheduling platform that provides a customized Hadoop environment within a batch-scheduled cluster environment. JUMMP enables an interactive pseudo-persistent MapReduce platform within the existing administrative structure of an academic high performance computing center by ``jumping'' between nodes with minimal administrative effort. Jumping is implemented by the synchronization of stopping and starting daemon processes on different nodes in the cluster. Our experimental evaluation shows that JUMMP can be as efficient as a persistent Hadoop cluster on dedicated computing resources, depending on the jump time. Our data from JUMMP is an interesting starting point for visual analytics and a discussion about how visual analytics can be a component in the tuning of a Hadoop cluster environment.   Bio: Dr. Amy Apon Chairs the Division of Computer Science in the School of Computing at Clemson University, where her mission is to grow research and the graduate programs in computer science. Degrees offered in the School of Computing include B.S., B.A., M.S. and Ph.D. in Computer Science, and a Computer Information Systems degree at the bachelor’s level.  The School also offers a Ph.D. degree in Human-Centered Computing. Dr. Apon came to Clemson in 2011 from the University of Arkansas, where she was the founding Director of the Arkansas High Performance Computing Center and Professor of Computer Science. Apon holds a Ph.D. in Computer Science from Vanderbilt University, M.S. in Computer Science, and M.A. and B.S.Ed. in Mathematics from the University of Missouri- Columbia