Optimizing Workflow Task Clustering Using Reinforcement Learning
Scientific workflows are composed of many fine-grained computational tasks. Generally, a large number of small tasks will slow down the workflow performance due to the scheduling overhead incurs during the execution time. Task clustering is an optimization technique that aggregates multiple small ta...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9502119/ |