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Title: A resource management architecture for metacomputing systems.

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

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab., IL (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
11947
Report Number(s):
ANL/MCS/CP-99886
TRN: AH200119%%217
DOE Contract Number:  
W-31109-ENG-38
Resource Type:
Conference
Resource Relation:
Conference: 12th International Parallel Processing Symposium (IPPS '98), Orlando, FL (US), 03/30/1998--04/03/1998; Other Information: PBD: 24 Aug 1999
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARCHITECTURE; COMPUTERS; PARALLEL PROCESSING; RESOURCE MANAGEMENT; SPECIFICATIONS; SUBSTRATES

Citation Formats

Czajkowski, K., Foster, I., Karonis, N., Kesselman, C., Martin, S., Smith, W., and Tuecke, S. A resource management architecture for metacomputing systems.. United States: N. p., 1999. Web.
Czajkowski, K., Foster, I., Karonis, N., Kesselman, C., Martin, S., Smith, W., & Tuecke, S. A resource management architecture for metacomputing systems.. United States.
Czajkowski, K., Foster, I., Karonis, N., Kesselman, C., Martin, S., Smith, W., and Tuecke, S. Tue . "A resource management architecture for metacomputing systems.". United States. https://www.osti.gov/servlets/purl/11947.
@article{osti_11947,
title = {A resource management architecture for metacomputing systems.},
author = {Czajkowski, K. and Foster, I. and Karonis, N. and Kesselman, C. and Martin, S. and Smith, W. and Tuecke, S.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {8}
}

Conference:
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