Name
Abstract | ||
|---|---|---|
Grid computing, which is characterized by large-scale sharing and collaboration of dynamic resources, is becoming an emerging computing platform on a global scale for data-intensive and computation-intensive application. However, the complications of large-scale scientific computations and simulations harnessing massive computing resources are compounded by extensive heterogeneity in environments arising from "the Grid." Scientists and engineers lack an intuitive grid-based compilation tool, which has contributed to the difficulty of exploiting these diverse resources and developing their applications on the grid. While manual configuration of various toolkits simplifying the end-to-end completion of a job is adequate for a computational grid with a limited number of nodes, the compilation procedure becomes inefficient for a computational grid with an increasing number of heterogeneous computational service providers. |
Year | Venue | Keywords |
|---|---|---|
2005 | PDPTA '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS 1-3 | grid services, remote compiling |
Field | DocType | Citations |
DRMAA,Grid computing,Computer science,Raw data,Utility computing,Semantic grid,Shared resource,Grid,Distributed computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yaohang Li | 1 | 306 | 46.46 |
| Daniel Tsu-tang Chen | 2 | 0 | 0.34 |
| Xiaohong Yuan | 3 | 169 | 26.72 |
| Huiming Yu | 4 | 65 | 14.25 |
| Albert C. Esterline | 5 | 28 | 16.82 |