时间：2014年7月11日上午10:00-11:30
地点：玉泉校区曹光彪主楼218
题目：Enabling Big-data Scientific Workflows
摘要：Next-generation e-science is producing colossal amounts of data, now frequently termed as “big data”, on the order of terabyte at present and petabyte or even exabyte in the predictable future. These scientific applications typically feature data- and network-intensive workflows comprised of computing modules with intricate inter-module dependencies. Application users oftentimes need to manually configure their computing workflows in distributed environments in an ad-hoc manner, which significantly limits the productivity of scientists and constrains the utilization of resources. Our research is focused on the development of an integrated and automated workflow solution to enable extreme-scale scientific computations in high-performance networks. Together with science collaborators at national laboratories within U.S. Department of Energy, we design a three-layer workflow architecture where the workflow performance is optimized through the co-scheduling of computing and networking resources based on resource abstraction, bandwidth reservation, and workflow mapping. This talk provides a brief tutorial on big-data scientific applications and shares our research results on various enabling technologies based on rigorous algorithm design, theoretical dynamics analysis, and real network implementation, deployment, and evaluation.
报告者简介：
Dr. Wu completed his Ph.D. dissertation at Oak Ridge National Laboratory (ORNL) and received his Ph.D. degree in computer science from Louisiana State University (LSU) in May 2003 with a nomination for the LSU Distinguished Dissertation Award. After graduation, he continued to work as a Research Fellow in the Computer Science and Mathematics Division at ORNL until he joined the faculty at the University of Memphis (UM) in Fall 2006. Dr. Wu is currently an Associate Professor at UM and a Collaborative Research Staff at ORNL. Dr. Wu has received a significant number of grants totaling over $2M from various federal funding agencies including NSF, DOE, DHS, ONR, and ORNL, and has published over 150 research articles in highly reputed conference proceedings, journals, and books. Dr. Wu has served on the editorial boards of many journals, the review panels of various research programs within DOE, NSF, and AAAS, and the organizing committees of many conferences. His Ph.D. graduates have been employed as faculty members at research-oriented universities and senior program analysts in world-leading IT companies. Dr. Wu received the Early Career Research Award from the College of Arts and Sciences at UM in 2009, and was nominated for the 2010 Thomas W. Briggs Foundation Excellence in Teaching Award and the 2012 Alumni Association Distinguished Advising Award. He was also a finalist for the Distinguished Teaching Award in 2011 and 2012 at UM. Dr. Wu's main research interests include big data, computer networks, parallel and distributed computing, wireless sensor networks, cyber security, and scientific visualization.
