An Efficient Task Scheduling Using GWO-PSO Algorithm in a Cloud Computing Environment-Reference-Cited by-同舟云学术

An Efficient Task Scheduling Using GWO-PSO Algorithm in a Cloud Computing Environment

Published:2021 Issue: Volume: Page:751-761
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Senthil Kumar Avinashi Malleswaran,Krishnamoorthy Parthiban,Soubraylu Sivakumar,Venugopal Jeya Krishnan,Marimuthu Kalimuthu

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8443-5_64

Reference25 articles.

1. Senthil Kumar, A.M., Venkatesan, M.: Task scheduling in a cloud computing environment using HGPSO algorithm. In: Cluster Computing (2018)

2. Avram, M.G.: Advantages and challenges of adopting cloud computing from an enterprise perspective. Procedia Technol. 12, 529–534 (2014)

3. Shi, H.L.: Research of Job Scheduling on Cloud Computing. Nanjing University of Science and Technology, Nanjing (2012)

4. Senthil Kumar, A.M., Venkatesan, M.: Multi-objective task scheduling using hybrid genetic-ant colony optimization algorithm in cloud environment. Wireless Personal Commun. (2019)

5. Senthil Kumar, A.M., Venkatesan, M., Rajivkannan, A.: ERAM2-energy based resource allocation with minimum reckon and maximum reckon. J. Adv. Chem. 12(23), 5485–5493 (2016)

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