Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds
Many important scientific applications can be expressed as workflows, which describe the relationship between individual computational tasks and their input and output data in a declarative way. This enables workflows to be automatically adapted to run across different environments. For complex work...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/69013/1/FSKTM%202018%2046%20-%20IR.pdf |
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