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Collaborative adaptive scheduling scheme for multi-source big data tasks in the cloud| Format | Member Price | Non-Member Price |
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Paper Abstract
With the arrival of big data age, workflow applications are transferring from original infrastructure to more efficient, reliable and affordable cloud computing platforms. Focusing on fine-grained big data tasks schedule in cloud computing environment, we proposed a novel collaborative adaptive algorithm based on reinforcement learning in this paper. Experiment results demonstrate the efficiency of the collaborative adaptive scheduling scheme.
Paper Details
Date Published: 27 November 2019
PDF: 5 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113212V (27 November 2019); doi: 10.1117/12.2536287
Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)
PDF: 5 pages
Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113212V (27 November 2019); doi: 10.1117/12.2536287
Show Author Affiliations
Lizi Zheng III, Guangdong Univ. of Petrochemical Technology (China)
Delong Cui, Guangdong Univ. of Petrochemical Technology (China)
Published in SPIE Proceedings Vol. 11321:
2019 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)
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