Name
Abstract | ||
|---|---|---|
Domain scientists synthesize different data and computing resources to solve their scientific problems. Making use of distributed execution within scientific workflows is a growing and promising way to achieve better execution performance and efficiency. This paper presents a high-level distributed execution framework, which is designed based on the distributed execution requirements identified within the Kepler community. It also discusses mechanisms to make the presented distributed execution framework easy-to-use, comprehensive, adaptable, extensible and efficient. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/eScience.2008.166 | eScience |
Keywords | DocType | Citations |
discusses mechanism,scientific workflows,scientific problem,execution requirement,kepler community,different data,execution framework,better execution performance,domain scientist,computing resource,computational modeling,distributed databases,computer architecture,distributed computing,registers,grid computing | Conference | 4 |
PageRank | References | Authors |
0.50 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwu Wang | 1 | 8 | 4.00 |
| Ilkay Altintas | 2 | 1191 | 106.09 |
| Chad Berkley | 3 | 1014 | 72.01 |
| Lucas Gilbert | 4 | 5 | 0.86 |
| Matthew B. Jones | 5 | 1128 | 85.91 |