Multi-objective Optimization of Composing Tasks from Distributed Workflows in Cloud Computing Networks
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-1480-7_39
Reference26 articles.
1. Mell, Peter, and Timothy Grance. 2011. Cloud Computing: Recommendations of the National Institute of Standards and Technology 800–145. NIST, Special Publications.
2. Rodriguez, Maria Alejandra, and Rajkumar Buyya. 2017. A Taxonomy and Survey on Scheduling Algorithms for Scientific Workflows in IaaS Cloud Computing Environments. Concurrency and Computation: Practice and Experience 29 (8): e4041.
3. Ullman, Jeffrey D. 1975. NP-complete scheduling problems. Journal of Computer and System Sciences 10 (3): 384–393.
4. Yu, Zhifeng, and Weisong Shi. 2008. A Planner-Guided Scheduling Strategy for Multiple Workflow Applications. In International Conference on Parallel Processing-Workshops, 2008. ICPP-W’08. IEEE.
5. Yu, Jia, Rajkumar Buyya, and Kotagiri Ramamohanarao. 2008. Workflow Scheduling Algorithms for Grid Computing. In Metaheuristics for Scheduling in Distributed Computing Environments 173–214. Berlin, Heidelberg: Springer.
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