Resource co-allocation in computational grids
Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requirements. For example, several computers and network elements may be required in order to achieve real-time reconstruction of e...
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| Vydáno v: | Proceedings of the IEEE International Symposium on High Performance Distributed Computing s. 219 - 228 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
1999
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| Témata: | |
| ISBN: | 0780356810, 9780780356818 |
| ISSN: | 1082-8907 |
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| Abstract | Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requirements. For example, several computers and network elements may be required in order to achieve real-time reconstruction of experimental data, while a large numerical simulation may require simultaneous access to multiple supercomputers. Motivated by these concerns, we have developed a general resource management architecture for Grid environments, in which resource co-allocation is an integral component. We examine the co-allocation problem in detail and present mechanisms that allow an application to guide resource selection during the co-allocation process; these mechanisms address issues relating to the allocation, monitoring, control, and configuration of distributed computations. We describe the implementation of co-allocators based on these mechanisms and present the results of microbenchmark studies and large-scale application experiments that provide insights into the costs and practical utility of our techniques. |
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| AbstractList | Applications designed to execute on `computational grids' frequently require the simultaneous co-allocation of multiple resources in order to meet performance requirements. For example, several computers and network elements may be required in order to achieve real-time reconstruction of experimental data, while a large numerical simulation may require simultaneous access to multiple supercomputers. Motivated by these concerns, we have developed a general resource management architecture for Grid environments, in which resource co-allocation is an integral component. In this paper, we examine the co-allocation problem in detail and present mechanisms that allow an application to guide resource selection during the co-allocation process; these mechanisms address issues relating to the allocation, monitoring, control, and configuration of distributed computations. We describe the implementation of co-allocators based on these mechanisms and present the results of microbenchmark studies and large-scale application experiments that provide insights into the costs and practical utility of our techniques. Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requirements. For example, several computers and network elements may be required in order to achieve real-time reconstruction of experimental data, while a large numerical simulation may require simultaneous access to multiple supercomputers. Motivated by these concerns, we have developed a general resource management architecture for Grid environments, in which resource co-allocation is an integral component. We examine the co-allocation problem in detail and present mechanisms that allow an application to guide resource selection during the co-allocation process; these mechanisms address issues relating to the allocation, monitoring, control, and configuration of distributed computations. We describe the implementation of co-allocators based on these mechanisms and present the results of microbenchmark studies and large-scale application experiments that provide insights into the costs and practical utility of our techniques. |
| Author | Kesselman, C. Czajkowski, K. Foster, I. |
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| Snippet | Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance... Applications designed to execute on `computational grids' frequently require the simultaneous co-allocation of multiple resources in order to meet performance... |
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| StartPage | 219 |
| SubjectTerms | Application software Computer architecture Computer networks Distributed computing Grid computing Large-scale systems Monitoring Numerical simulation Resource management Supercomputers |
| Title | Resource co-allocation in computational grids |
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