Automatic Workflow Scheduling Tuning for Distributed Processing Systems-Reference-Cited by-同舟云学术

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Automatic Workflow Scheduling Tuning for Distributed Processing Systems

Published:2016 Issue: Volume:101 Page:388-397
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Visheratin Alexander A.,Melnik Mikhail,Nasonov Denis

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Performance and cost optimization for multiple large-scale grid workflow applications;Duan;Proc. 2007 ACM/IEEE Conf. Supercomput. 2007. SC’07.,2007

2. Hybrid Evolutionary Workflow Scheduling Algorithm for Dynamic Heterogeneous Distributed Computational Environment;Nasonov;Int. Jt. Conf. SOCO’14-CISIS’14-ICEUTE’14,2014

3. The particle swarm optimization algorithm: Convergence analysis and parameter selection;Trelea;Inf. Process. Lett.,2003

4. The swarm and the queen: Towards a determininistic and adaptive particle swarm optimization;Clerc;Congr. Evol. Comput.,1999

5. A Hyper-Heuristic Scheduling Algorithm for Cloud;Tsai;IEEE Trans. Cloud Comput.,2014

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1. A General Model for Automated Algorithm Design;Automated Design of Machine Learning and Search Algorithms;2021

2. A Survey on Scheduling Strategies for Workflows in Cloud Environment and Emerging Trends;ACM Computing Surveys;2020-07-31

3. The Multi-level Adaptive Approach for Efficient Execution of Multi-scale Distributed Applications with Dynamic Workload;Communications in Computer and Information Science;2018-12-31

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