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Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds.
- Source :
- Enterprise Information Systems; Jul2023, Vol. 17 Issue 7, p1-40, 40p
- Publication Year :
- 2023
-
Abstract
- A novel multi-objective (cost, delay, and reliability) auto-scaling optimisation model is proposed for micro-service workflows in containerised hybrid clouds. We compare the container-based model with VM-based model and conclude that the former significantly supersedes. The benchmark of three mainstream algorithms is conducted by the Hypervolume metric, showed that the performance of MOEA/D is inferior to NSGA family, and NSGA-III is not always superior to NSGA-II. So we design an improved NSGA-II based on dynamically changing crossover and mutation operators, which outperforms NSGA-III both in stability and performance by over 60% and 80% in all multi-scale tests. [ABSTRACT FROM AUTHOR]
- Subjects :
- PRODUCTION scheduling
SCHEDULING
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 17517575
- Volume :
- 17
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Enterprise Information Systems
- Publication Type :
- Academic Journal
- Accession number :
- 164082959
- Full Text :
- https://doi.org/10.1080/17517575.2022.2069478