Abstract | ||
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The increasing demand for resources of the high performance computing systems has led to new forms of collaboration of distributed systems such as interoperable grid systems that contain and manage their own resources. While with a single grid domain one of the most important tasks is the selection of the most appropriate set of resources to dispatch a job, in an interoperable grid environment this problem shifts to selecting the most appropriate domain containing the requiring resources for the job. In this paper, we present and evaluate broker selection strategies for interoperable grid systems. They use aggregated resource information as well as dynamic performance information of the underlying scheduling layers. From our evaluations performed with simulation tools, we conclude that aggregation techniques do not penalize performance significantly, and that delegating part of the scheduling responsibilities to the underlying scheduling layers is a good way to balance the load among the different grid systems. |
Year | DOI | Venue |
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2009 | 10.1109/ICPP.2009.63 | ICPP |
Keywords | Field | DocType |
aggregated resource information,underlying scheduling layer,interoperable grid environment,single grid domain,different grid system,high performance computing system,scheduling responsibility,interoperable grid system,interoperable grid systems,broker selection strategies,appropriate domain,dynamic performance information,open systems,dynamic scheduling,scheduling,resource allocation,distributed system,computational modeling,scalability,resource management,grid computing,accuracy | Resource management,Grid computing,Scheduling (computing),Computer science,Interoperability,Resource allocation,Dynamic priority scheduling,Grid,Distributed computing,Scalability | Conference |
Citations | PageRank | References |
1 | 0.35 | 19 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ivan Rodero | 1 | 452 | 37.95 |
Francesc Guim | 2 | 105 | 9.24 |
Julita Corbalan | 3 | 174 | 12.00 |
Liana Fong | 4 | 264 | 23.53 |
S. Masoud Sadjadi | 5 | 282 | 20.78 |