Analysis existing load balancing algorithms in cloud computing

Abstract EN

Cloud computing technology is one of the assistive technologies that are developed on a daily basis.

Cloud computing technology faces many challenges and difficulties to develop and improve the technology's work, and one of the most important challenges facing cloud computing technology is balancing the burdens in the dynamic work environment in cloud computing.

The algorithms of load balancing in cloud computing are one of the important tools to improve the performance of cloud computing technology, and it is important to distribute tasks between the nodes in the cloud computing system, the increased burden on a node in the cloud computing system will lead to poor performance in the system, so it is important to use an efficient algorithm to improve performance.

There are many researchers interested the assistive technologies that are developed on a daily basis.

Cloud computing technology faces many challenges and difficulties to develop and improve the technology's work, and one of the most important challenges facing cloud computing technology is balancing the burdens in the dynamic work environment in cloud computing.

The algorithms of load balancing in cloud computing are one of the important tools to improve the performance of cloud computing technology, and it is important to distribute tasks between the nodes in the cloud computing system, the increased burden on a node in the cloud computing system will lead to poor performance in the system, so it is important to use an efficient algorithm to improve performance.

There are many researchers interested in this field who have contributed to improving the work performance of the cloud computing system, and in this research we presented an analytical study of burden allocation algorithms to improve work performance and task allocation in cloud computing.

There are many algorithms used in cloud computing and each algorithm has advantages and disadvantages.

In this paper, we analyzed cloud computing burden distribution algorithms.

Through the analysis, we find that the PSO algorithm is better than other algorithms in terms of performance and efficiency in the process of distributing tasks in cloud computing.