Speaker: Prof. Miron Livny, University of Wisconsin-Madison

Title: From a Grid of One to a Grid of Many

Date and Time: November 3, 2005 (Thursday), 11:00 am
Place: Johnston Hall, Room: 338

Directions: http://www.lsu.edu/campus/maps/JHN01.html

 

Abstract: Condor (www.cs.wisc.edu/Condor) is a widely deployed distributed resource and job management system. Over the last decade, Condor gained the confidence of users and system administrators in both academia and industry. Deployed at more than 1500 sites and integrated into the software stacks of most grid projects, Condor offers an effective bridge between local and wide-area consumers and providers of computing and data resources. The system is based on a novel separation between resource allocation and work delegation mechanisms. Condor also employs a "matchmaking" framework to empower the consumers and the owners of resources to express and implement advanced scheduling policies. Together, this framework and these mechanisms facilitate a "bottom-up" approach to the formation of computational and data grids. We will present the principals that have been guiding us in the design of Condor and will describe how they are implemented in the current version of the system. Our plans for short and long term enhancements to the Condor system and related technologies will be outlined.

About the Speaker: Prof. Miron Livny received a B.Sc. degree in Physics and Mathematics in 1975 from the Hebrew University and M.Sc. and Ph.D. degrees in Computer Science from the Weizmann Institute of Science in 1978 and 1984, respectively. Since 1983 he has been on the Computer Sciences Department faculty at the University of Wisconsin-Madison, where he is currently a Professor of Computer Sciences and is leading the Condor project.

Dr. Livny's research focuses on distributed processing and data management systems and data visualization environments. His recent work includes the Condor high throughput computing system, the DEVise data visualization and exploration environment, the ZOO scientific database management framework, quality controlled lossy image compression, and data clustering.

This event is sponsored by the Center for Computation & Technology (CCT; http://www.cct.lsu.edu) in partnership with the LSU Department of Computer Science.