Virtual Machine Load Balancing Using Improved ABC for Task Scheduling in Cloud Computing-Reference-Cited by-同舟云学术

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Virtual Machine Load Balancing Using Improved ABC for Task Scheduling in Cloud Computing

Published:2023 Issue: Volume: Page:251-264
ISSN:2367-3370
Container-title:Intelligent Computing and Networking
language:
Short-container-title:

Author:

Hanuman Reddy N.,Lathigara Amit,Aluvalu Rajanikanth,Viswanadhula Uma Maheswari

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-3177-4_18

Reference25 articles.

1. Gao Y, Huang C (2021) Energy-efficient scheduling of mapreduce tasks based on load balancing and deadline constraint in heterogeneous Hadoop yarn cluster. In: 2021 IEEE 24th international conference on computer supported cooperative work in design (CSCWD). IEEE, pp 220–225

2. Balaji K (2021) Load balancing in cloud computing: issues and challenges. Turk J Comput Math Educ (TURCOMAT) 12(2):3077–3084

3. Maheswari VU, Aluvalu R, Kantipudi MP, Chennam KK, Kotecha K, Saini JR (2022) Driver drowsiness prediction based on multiple aspects using image processing techniques. IEEE Access 10:54980–54990

4. Elmagzoub MA, Syed D, Shaikh A, Islam N, Alghamdi A, Rizwan S (2021) A survey of swarm intelligence based load balancing techniques in cloud computing environment. Electronics 10(21):2718

5. Kothi Laxman RR, Lathigara A, Aluvalu R, Viswanadhula UM (2022) PGWO-AVS-RDA: an intelligent optimization and clustering based load balancing model in cloud. Concurr Comput: Pract Exp 34(21):e7136

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