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Computer Science @ Rochester
Monday, November 03, 2008
11:00 AM
Computer Studies Bldg. Room 209
Dr. Amnon Barak
The Hebrew University of Jerusalem
The MOSIX Algorithms for Managing Clusters, Multi- clusters and Cloud Computing Systems
MOSIX is a management system targeted for high performance computing on Linux clusters, multi-cluster (organizational grids) and clouds. It incorporates algorithms for automatic resource discovery and dynamic workload distribution, commonly found on single computers with multiple processors.

MOSIX is implemented as a software virtualization layer that allows applications to run in remote nodes, e.g. clouds, as if they run locally. Users can start applications on one node, e.g. workstation, while MOSIX automatically seek resources and transparently allocate or migrate processes to other nodes. Users do not need to modify or link applications with special libraries, login or copy files to remote clusters.

Process migration is supervised by a comprehensive set of online algorithms that monitor the state of resources and attempt to optimize a target goal, such as load-balancing, improved overall performance, avoid overheating, support green computing, fair-share node allocation, Grid economy and support of disruptive configurations.

The presentation begins with a brief overview of cluster management systems followed by an explanation of the MOSIX algorithms, its cluster, multi-cluster and cloud services.

Bio:

Amnon Barak is Strauss Professor of Computer Science and manager of the Distributed Systems research lab in the department of Computer Science at The Hebrew University of Jerusalem. He received the B.S. degree in mathematics from the Technion, and the M.S. and Ph.D. degrees in computer science from the University of Illinois at Urbana-Champaign. His research interests include parallel and distributed systems, management systems for clusters and grids, dynamic resource allocation, grid economy and competitive algorithms for resource management in clusters and grids.

Refreshments will be provided at 10:45 AM