Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review
This systematic review offers a comprehensive analysis of scheduling algorithms designed for scientific workflows, particularly those handling Big Data. By examining research published between 2010 and 2023, we aim to provide a structured overview of the field, highlighting key trends and identifyin...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10771770/ |
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