Name
Abstract | ||
|---|---|---|
One of the challenges in Grid computing research is to provide a means to automatically submit, manage, and monitor applications whose main characteristic is to be composed of a large number of tasks. The large number of explicit tasks, generally placed on a centralized job queue, can cause several problems: (1) they can quickly exhaust the memory of the submission machine; (2) they can deteriorate the response time of the submission machine due to these demanding too many open ports to manage remote execution of each of the tasks; (3) they may cause network traffic congestion if all tasks try to transfer input and/or output files across the network at the same time; (4) they make it impossible for the user to follow execution progress without an automatic tool or interface; (5) they may depend on fault-tolerance mechanisms implemented at application level to ensure that all tasks terminate successfully. In this work we present and validate a novel architectural model, GRAND (Grid Robust ApplicatioN Deployment), whose main objective is to deal with the submission of a large numbers of tasks. Copyright (c) 2006 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1002/cpe.1138 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE |
Keywords | DocType | Volume |
grid computing, application management, scheduling | Journal | 19 |
Issue | ISSN | Citations |
14 | 1532-0626 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Patrícia Kayser Vargas | 1 | 12 | 2.29 |
| Inês C. Dutra | 2 | 0 | 0.34 |
| Vinícius D. do Nascimento | 3 | 0 | 0.34 |
| Lucas A. S. Santos | 4 | 1 | 0.70 |
| Luciano Cavalheiro Da Silva | 5 | 31 | 3.91 |
| Cl áudio F. R. Geyer | 6 | 114 | 23.10 |
| Bruno Schulze | 7 | 10 | 4.20 |