Task Scheduling and Energy-Aware Workflow in the Cloud Through Hybrid Optimization Techniques-Reference-Cited by-同舟云学术

Task Scheduling and Energy-Aware Workflow in the Cloud Through Hybrid Optimization Techniques

Published:2023 Issue: Volume: Page:491-499
ISSN:2367-3370
Container-title:Soft Computing for Problem Solving
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Author:

Yadav Arti,Goyal Samta Jain,Jadon Rakesh Singh,Goyal Rajeev

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-6525-8_37

Reference24 articles.

1. Afzal S, Kavitha G (2019) Load balancing in cloud computing—a hierarchical taxonomical classification. J Cloud Comput 8(1). https://doi.org/10.1186/s13677-019-0146-7

2. Ahmad MO, Khan RZ (2019) PSO-based task scheduling algorithm using adaptive load balancing approach for the cloud computing environment. Int J Sci Technol Res 8(11):457–462

3. Almutairi J, Aldossary M (2021) A novel approach for IoT tasks offloading in edge-cloud environments. J Cloud Comput 10(1). https://doi.org/10.1186/s13677-021-00243-9

4. Behal V, Kumar A (2014) Cloud computing: performance analysis of load balancing algorithms in cloud heterogeneous environment. In: Proceedings of the 5th international conference on confluence 2014: the next generation information technology summit, pp 200–205. https://doi.org/10.1109/CONFLUENCE.2014.6949291

5. Daryapurkar A, Deshmukh M (2013a) Efficient load balancing algorithm in cloud environment. Int J Comput Sci Appl 6(2):308–312. http://researchpublications.org/IJCSA/NCAICN-13/205.pdf

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