Name
Abstract | ||
|---|---|---|
The key purpose of computational grid is how to allocate grid resources to grid applications effectively. Existing resource management models with centralized architecture like GRAM and nimrod-G broker are liable to generate communication overheads and bottleneck. Therefore, we propose the service agent-based resource management model using virtuali-zation for computational grid. Virtualization and agent-based system applied to our model is able to improve load imbalance of grid broker and reduce communication overheads. Experiment results demonstrate that the service agent-based resource management model decreases 25.8% more job latencies and 151.6% more communication messages than the centralized resource management model. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72586-2_135 | International Conference on Computational Science (2) |
Keywords | Field | DocType |
existing resource management model,grid broker,centralized resource management model,grid resource,model decrease,service agent-based resource management,agent-based system,grid application,communication overhead,computational grid,grid computing,resource manager | Virtualization,Resource management,Bottleneck,DRMAA,Grid computing,Computer science,Semantic grid,Grid,Storage Resource Broker,Distributed computing | Conference |
Volume | ISSN | Citations |
4488 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sung-ho Jang | 1 | 31 | 7.19 |
| Jong Sik Lee | 2 | 74 | 18.95 |