A Fast Converging and Globally Optimized Approach for Load Balancing in Cloud Computing-Reference-Cited by-同舟云学术

A Fast Converging and Globally Optimized Approach for Load Balancing in Cloud Computing

Published:2023 Issue: Volume:11 Page:11390-11404
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al Reshan Mana Saleh¹^ORCID,Syed Darakhshan²,Islam Noman³^ORCID,Shaikh Asadullah¹^ORCID,Hamdi Mohammed¹^ORCID,Elmagzoub Mohamed A.¹^ORCID,Muhammad Ghulam²,Hussain Talpur Kashif²^ORCID

Affiliation:

1. College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

2. Computer Science Department, Bahria University, Karachi, Pakistan

3. Department of Computer Science, Karachi Institute of Economics and Technology, Karachi, Pakistan

Funder

Deanship of Scientific Research at Najran University through the National Research Priorities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10034760.pdf?arnumber=10034760

Reference61 articles.

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4. GWO Based Task Allocation for Load Balancing in Containerized Cloud

5. Artificial Bee Colony algorithm used for load balancing in cloud computing: Review

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