Name
Abstract | ||
|---|---|---|
Grid computing is now in widespread use, integrating geographical computing resources across multiple virtual organizations to achieve high performance computing. A single grid does not often provide a vast resource because virtual organizations have inadequate computing resource restrictions for management on an organizational scale. This paper presents a new grid architecture named Multi-Grid, which integrates multiple computational grids from different virtual organizations. This study builds a resource broker on multiple grid environments, integrating a number of single grids from different virtual organizations without the limit of organizations. The purpose of the multiple-grid resource is to avoid wasting resources. In addition, this study proposes a Multi-Grid Resource Selection Strategy (MRGSS) for the resource broker to better allocate resources before submitting jobs, to avoid network congestion that consequently causes a decrease in performance. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.4018/ijghpc.2014010103 | International Journal of Grid and High Performance Computing |
Keywords | Field | DocType |
mgrss,grid computing,computing,multi-grid,resource broker | DRMAA,Grid computing,Supercomputer,Computer science,Utility computing,Network congestion,Semantic grid,Grid,Multi grid,Distributed computing | Journal |
Volume | Issue | ISSN |
6 | 1 | 1938-0259 |
Citations | PageRank | References |
2 | 0.50 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chao-Tung Yang | 1 | 1196 | 139.50 |
| Wen-Jen Hu | 2 | 5 | 1.92 |
| Kuan-Chou Lai | 3 | 142 | 20.81 |