Abstract
Load balancing, reliability, and traffic are among the service-oriented issues in software engineering, and cloud computing is no exception to this rule and has put many challenges ahead of experts in this field. Considering the importance of the load balancing process in cloud computing, the purpose of this paper is to provide an appropriate solution for load balancing load in complex cloud systems using an adaptive fuzzy neural system. This system consists of four layers, and a particular operation is performed on each layer. The results of the experiments show that the system has better performance in the criteria mentioned above (balancing, traffic and reliability).
Highlights
Cloud computing has caused many changes in the world of information and communication technology because of its efficiency
Virtualization can help managers achieve an efficient solution for the flexible management of resources by using virtualization Technique, we can enable more than one virtual machine to work on one physical machine, and each of them will provide their required resources by cutting a section of the machine Physical resources
Data centers of virtual machines in cloud computing have broadened to such an extent that the quality of positioning the virtual machines has become an important issue for producers of cloud computing in order to prevent interference in load balance between virtual machines and losses due to non-compliance with the quality of the virtual machine based on the Service Level Agreements (SLAs) in cloud computing [5]-[8]
Summary
Cloud computing has caused many changes in the world of information and communication technology because of its efficiency. It is gaining more and more popularity due to its easy access, low costs, and comfortable usage. Virtualization technology enables a number of virtual servers to work on the same physical machine used to improve the efficiency of Physical server resources and reduce energy consumption. Virtualization can help managers achieve an efficient solution for the flexible management of resources by using virtualization Technique, we can enable more than one virtual machine to work on one physical machine, and each of them will provide their required resources by cutting a section of the machine Physical resources. Data centers of virtual machines in cloud computing have broadened to such an extent that the quality of positioning the virtual machines has become an important issue for producers of cloud computing in order to prevent interference in load balance between virtual machines and losses due to non-compliance with the quality of the virtual machine based on the Service Level Agreements (SLAs) in cloud computing [5]-[8]
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