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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dragiev, S. Schneider, J. |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electrical Engineering and Computer Sciences, Technische Universitaet Berlin, Germany (Dragiev, S.; Schneider, J.) |
| Abstract | With service level agreements (SLAs) the Grid broker guarantees to finish the Grid jobs by a given deadline. There are a number of approaches, to plan reservations to fulfil these deadline requirements and to handle currently running jobs in the case of a resource failure. However, there is a lack of strategies to handle the already planned but not yet started jobs. These jobs will be most likely also affected by the resource failure and can be remapped to other resources well in advance. Complex Grid jobs (Grid workflows) consisting of multiple sub-jobs introduce a higher complexity to determine a remapping saving as much Grid jobs as possible. In this paper a recovery scheme for Grid workflows using a dynamic constraint solver is presented and the gain in the number of saved Grid jobs is evaluated using extensive simulations. |
| Starting Page | 74 |
| Ending Page | 79 |
| File Size | 725374 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424491933 |
| e-ISBN | 9781424491926 |
| DOI | 10.1109/ICOS.2010.5720067 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-05 |
| Publisher Place | Malaysia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Schedules Computational modeling Optimal scheduling Quality of service Complexity theory Indexes Load modeling |
| Content Type | Text |
| Resource Type | Article |
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