Budget‐aware scheduling algorithms for scientific workflows with stochastic task weights on infrastructure as a service Cloud platforms
Author:
Affiliation:
1. LIP École Normale Supérieure de Lyon Lyon France
2. Département d'Informatique Université Claude Bernard de Lyon Lyon France
3. Innovative Computing Laboratory University of Tennessee Knoxville Knoxville Tennessee USA
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6065
Reference30 articles.
1. CaniouY CaronE ChangAKW RobertY. Budget‐aware scheduling algorithms for scientific workflows with stochastic task weights on heterogeneous iaas cloud platforms. Paper presented at: Proceedings of the 27th International Heterogeneity in Computing Workshop HCW 2013;2018. Vancouver BC Canada: IEEE Computer Society Press.
2. CaniouY CaronE ChangAKW RobertY. Budget‐aware scheduling algorithms for scientific workflows with stochastic task weights on IaaS cloud platforms. INRIA. Paper presented at: Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2017:15‐26; Lake Buena Vista FL USA: IEEE.
3. A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
4. An efficient implementation of the Min-Min heuristic
5. Performance-effective and low-complexity task scheduling for heterogeneous computing
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1. A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions;IEEE Access;2023
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