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A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing
Recent developments in cloud computing have made it a powerful solution for executing large-scale scientific problems. The complexity of scientific workflows demands efficient utilization of cloud resources to satisfy user requirements. Scheduling of scientific workflows in a cloud environment is a...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SAGE Publishing
2020-08-01
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| Seria: | International Journal of Distributed Sensor Networks |
| Dostęp online: | https://doi.org/10.1177/1550147720949142 |
| Etykiety: |
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