Name
Abstract | ||
|---|---|---|
Computing grid is a promising platform that provides plenty of resource for large scientific computing applications. To achieve the performance of applications in the grid environment, careful resource management is needed. Protein alignment analysis, a typical bio-grid computing application, is a computing intensive, data parallel application, which needs data storage resources and large computing resources. This paper proposes an integrated resource management framework for bio-grid computing. We demonstrate that this kind of applications can benefit from resource management framework. |
Year | Venue | Keywords |
|---|---|---|
2008 | Neural Parallel & Scientific Comp. | data storage resource,typical bio-grid computing application,large scientific computing application,computing grid,careful resource management,integrated resource management framework,large computing resource,bio-grid computing,data parallel application,resource management framework,grid computing |
Field | DocType | Volume |
Resource management,Autonomic computing,DRMAA,Grid computing,Data-intensive computing,Computer science,Utility computing,End-user computing,Semantic grid,Distributed computing | Journal | 16 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lizhe Wang | 1 | 2973 | 191.46 |
| Wei Jie | 2 | 71 | 12.25 |