A resource management architecture for metacomputing systems.

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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 ... continued below

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16 p.

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Czajkowski, K.; Foster, I.; Karonis, N.; Kesselman, C.; Martin, S.; Smith, W. et al. August 24, 1999.

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Description

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 strategies. We report on our experiences applying our techniques in a large testbed, GUSTO, incorporating 15 sites, 330 computers, and 3600 processors.

Physical Description

16 p.

Notes

OSTI as DE00011947

Medium: P; Size: 16 pages

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  • 12th International Parallel Processing Symposium (IPPS '98), Orlando, FL (US), 03/30/1998--04/03/1998

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  • Report No.: ANL/MCS/CP-99886
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 11947
  • Archival Resource Key: ark:/67531/metadc626552

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • August 24, 1999

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  • June 16, 2015, 7:43 a.m.

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  • April 7, 2017, 3:23 p.m.

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Czajkowski, K.; Foster, I.; Karonis, N.; Kesselman, C.; Martin, S.; Smith, W. et al. A resource management architecture for metacomputing systems., article, August 24, 1999; Illinois. (digital.library.unt.edu/ark:/67531/metadc626552/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.