The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
| Autor: | Gabrielle Allen, Gerd Lanfermann, John Shalf, Edward Seidel, David Angulo, Thomas Radke, Ian Foster, Chuang Liu |
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| Rok vydání: | 2001 |
| Předmět: |
FOS: Computer and information sciences
D.1.3 020203 distributed computing Computer science Distributed computing 010103 numerical & computational mathematics 02 engineering and technology computer.software_genre Grid 01 natural sciences Theoretical Computer Science Runtime system Resource (project management) Computer Science - Distributed Parallel and Cluster Computing Grid computing Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Resource allocation Distributed Parallel and Cluster Computing (cs.DC) 0101 mathematics computer Software Selection (genetic algorithm) Dynamic resource |
| Zdroj: | The International Journal of High Performance Computing Applications. 15:345-358 |
| ISSN: | 1741-2846 1094-3420 |
| Popis: | The ability to harness heterogeneous, dynamically available "Grid" resources is attractive to typically resource-starved computational scientists and engineers, as in principle it can increase, by significant factors, the number of cycles that can be delivered to applications. However, new adaptive application structures and dynamic runtime system mechanisms are required if we are to operate effectively in Grid environments. In order to explore some of these issues in a practical setting, we are developing an experimental framework, called Cactus, that incorporates both adaptive application structures for dealing with changing resource characteristics and adaptive resource selection mechanisms that allow applications to change their resource allocations (e.g., via migration) when performance falls outside specified limits. We describe here the adaptive resource selection mechanisms and describe how they are used to achieve automatic application migration to "better" resources following performance degradation. Our results provide insights into the architectural structures required to support adaptive resource selection. In addition, we suggest that this "Cactus Worm" is an interesting challenge problem for Grid computing. Comment: 14 pages, 5 figures, to be published in International Journal of Supercomputing Applications |
| Databáze: | OpenAIRE |
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