Development of Load Balancing Methodology in Cloud Computing Platforms

Authors

  • Mohammed Khairullah Mohsin, Mustafa A. Fiath

Keywords:

cloud computing, load balancing, task scheduling, probability theory, resources allocation

Abstract

Load balancing is the process of distributing customer tasks among multiple computing resources, such as virtual machines (VMs), servers and networks. It is a major concern in cloud computing as the number of customer demanding the service is growing exponentially. An efficient load balancing approach can detect the load of the VMs proactively and assigns the customer tasks to the VMs accordingly. In this paper, we present a mechanism on load balancing in cloud using probability theory. The main aim of the proposed approach is to reduce the standard deviation of the load between the virtual machines so that they are close to zero.

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Author Biography

Mohammed Khairullah Mohsin, Mustafa A. Fiath

1Mohammed Khairullah Mohsin, 2Mustafa A. Fiath

Mohamedkhiry270@gmail.com

Ministry of Education, Directorate of Education, Anbar Governorate, Iraq

azeezmustafa89@uoanbar.edu.iq

College of Medicine, Anbar University, Iraq

 

References

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Singh, P., Dutta, M., & Aggarwal, N. (2017). A review of task scheduling based on meta-heuristics approach in cloud computing. Knowledge and Information Systems, 52(1), 1-51.

Panda, S. K., & Jana, P. K. (2018). Normalization-based task scheduling algorithms for heterogeneous multi-cloud environment. Information Systems Frontiers, 20(2), 373-399.

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Published

13.02.2023

How to Cite

Mohammed Khairullah Mohsin, Mustafa A. Fiath. (2023). Development of Load Balancing Methodology in Cloud Computing Platforms. International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 660–672. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2743

Issue

Vol. 11 No. 4s (2023)

Section

Research Article

License

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