A taxonomy and survey of grid resource management systems for distributed computing
The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an model and a comp...
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| Vydáno v: | Software, practice & experience Ročník 32; číslo 2; s. 135 - 164 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Chichester, UK
John Wiley & Sons, Ltd
01.02.2002
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| Témata: | |
| ISSN: | 0038-0644, 1097-024X |
| On-line přístup: | Získat plný text |
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| Abstract | The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches followed in the implementation of existing resource management systems for very large‐scale network computing systems known as Grids. The taxonomy and the survey results are used to identify architectural approaches and issues that have not been fully explored in the research. Copyright © 2001 John Wiley & Sons, Ltd. |
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| AbstractList | The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches followed in the implementation of existing resource management systems for very large‐scale network computing systems known as Grids. The taxonomy and the survey results are used to identify architectural approaches and issues that have not been fully explored in the research. Copyright © 2001 John Wiley & Sons, Ltd. The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an abstract model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches followed in the implementation of existing resource management systems for very large‐scale network computing systems known as Grids. The taxonomy and the survey results are used to identify architectural approaches and issues that have not been fully explored in the research. Copyright © 2001 John Wiley & Sons, Ltd. A distributed network computing (NC) system is a virtual computer formed by a networked set of heterogeneous machines that share local resources with each other. A Grid is a very large scale, generalized distributed NC system that can scale to Internet-size environments with machines distributed across multiple organizations and administrative domains. The resource management system is the central component of an NC system. There have been many projects focused on NC that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an abstract model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches and implementations of resource management systems for Grids. Results are used to further identify architectural approaches and issues that have not been fully explored in the research. (Original abstract - amended) The resource management system is the central component of distributed network computing systems. There have been many projects focused on network computing that have designed and implemented resource management systems with a variety of architectures and services. In this paper, an abstract model and a comprehensive taxonomy for describing resource management architectures is developed. The taxonomy is used to identify approaches followed in the implementation of existing resource management systems for very large-scale network computing systems known as Grids. The taxonomy and the survey results are used to identify architectural approaches and issues that have not been fully explored in the research. |
| Author | Buyya, Rajkumar Krauter, Klaus Maheswaran, Muthucumaru |
| Author_xml | – sequence: 1 givenname: Klaus surname: Krauter fullname: Krauter, Klaus email: kkrauter@rbni.com organization: Advanced Networking Research Laboratory, Department of Computer Science, University of Manitoba, Winnipeg, Canada – sequence: 2 givenname: Rajkumar surname: Buyya fullname: Buyya, Rajkumar organization: School of Computer Science and Software Engineering, Monash University, Melbourne, Australia – sequence: 3 givenname: Muthucumaru surname: Maheswaran fullname: Maheswaran, Muthucumaru organization: Advanced Networking Research Laboratory, Department of Computer Science, University of Manitoba, Winnipeg, Canada |
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| References_xml | – reference: Ekemecic I, Tartalja I, Milutinovic V. A survey of heterogeneous computing: Concepts and systems. Proceedings of the IEEE 1996; 84(8):1127-1144. – reference: Foster I, Kesselman C. Globus: A metacomputing infrastructure toolkit. International Journal of Supercomputer Applications and High Performance Computing 1997; 11(2):115-128. – reference: Mitzenmacher M. How useful is old information. IEEE Transactions on Parallel and Distributed Systems 2000; 11(1):6-20. – reference: Foster I, Kesselman C (eds.). The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann: San Fransisco, CA, 1999. – reference: Gropp W, Lusk E, Doss N, Skjellum A. A high performance, portable implementation of the message passing interface (mpi) standard. Parallel Computing 1996; 22(6). – reference: Rotithor HG. Taxonomy of dynamic task scheduling schemes in distributed computing systems. IEE Proceedings on Computer and Digital Techniques 1994; 141(1):1-10. – reference: Nahrstedt K, Chu H, Narayan S. QoS-aware resource management for distributed multimedia. Journal of High-Speed Networking (Special Issue on Multimedia Networking) December 2000; 7(3-4):227-255. – reference: Sinha PK. Distributed Operating Systems: Concepts and Design. IEEE Press: New York, NY, 1997. – reference: Nakada H, Sato M, Sekiguchi S. Design and implementation of Ninf: Towards a global computing infrastructure. Future Generation Computing Systems (Metacomputing Special Issue) October 1999; 15(5-6):649-658. – reference: Chervenak A, Foster I, Kesselman C, Salisbury C, Tuecke S. The data Grid: Towards an architecture for the distributed management and analysis of large scientific datasets. Journal of Network and Computer Applications 23(3):187-200. – reference: Kapadia N, Figueiredo R, Fortes J. PUNCH: Web portal for running tools. IEEE Micro May-June 2000; 20(3):38-47. – reference: Coulson G. 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Computing – volume: 20 start-page: 38 issue: 3 year: 2000 end-page: 47 article-title: PUNCH: Web portal for running tools publication-title: IEEE Micro – volume: 23 start-page: 187 issue: 3 end-page: 200 article-title: The data Grid: Towards an architecture for the distributed management and analysis of large scientific datasets publication-title: Journal of Network and Computer Applications – volume: 11 start-page: 6 issue: 1 year: 2000 end-page: 20 article-title: How useful is old information publication-title: IEEE Transactions on Parallel and Distributed Systems – volume: 11 start-page: 212 issue: 3 year: 1997 end-page: 223 article-title: Netsolve: A network‐enabled server for solving computational science problems publication-title: International Journal of Supercomputer Applications and High Performance Computing – year: 1988 – volume: 7 start-page: 227 issue: 3–4 year: 2000 end-page: 255 article-title: QoS‐aware resource management for distributed multimedia publication-title: 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| Title | A taxonomy and survey of grid resource management systems for distributed computing |
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