Abstract

Metacomputing systems are intended to support remote and/or concurrent use of geographically distributed computational resources. Resource management in such systems is complicated by five concerns that do not typically arise in other situations: site autonomy and heterogeneous substrates at the resources, and application requirements for policy extensibility, co-allocation, and online control. We describe a resource management architecture that addresses these concerns. This architecture distributes the resource management problem among distinct local manager, resource broker, and resource co-allocator components and defines an extensible resource specification language to exchange information about requirements. We describe how these techniques have been implemented in the context of the Globus metacomputing toolkit and used to implement a variety of different resource management …

Date

March 18, 1998

Authors

Karl Czajkowski, Ian Foster, Nick Karonis, Carl Kesselman, Stuart Martin, Warren Smith, Steven Tuecke

Conference

Job Scheduling Strategies for Parallel Processing: IPPS/SPDP'98 Workshop Orlando, Florida, USA, March 30, 1998 Proceedings 4

Pages

62-82

Publisher

Springer Berlin Heidelberg