Research And Implementation Of Virtual Load Balancer In A Resource Management Platform

The rapid development of the Internet has not only improved social productivity,but also facilitated people's daily lives.To date,people has developed an irreversible dependence on the Internet.With the rise of users,the existing users have not satisfied with a single Internet access requirement,this has placed higher requirements on Internet computing capabilities,and cloud computing has emerged in response.Obviously,while enjoying the convenient benefits brought by cloud resources,the ability to manage cloud resources has also become a problem in the current Internet environment.Under the premise of scientific and rational utilization and management of virtual resources,it is required to maximize the utilization of virtual resources and use resources economically and efficiently.By analyzing the use of virtual load-balancer services in cloud resources,and after conducting a detailed investigation and research on a resource management platform,the content of the ordering,using,and management of load-balancer services in virtual resources was designed.The function of virtual load-balancer is partially recommended and optimized,and the design content is finally realized.The implementation of the virtual load-balancer researched in this article is based on the Octavia project in OpenStack.Octavia provides technical support for the underlying virtual load-balancer service.The main contents of the design and implementation are the ordering,unsubscribing,and management of virtual load-balancer services,strict and tight permission approval processes,configuration management and optimization of virtual load-balancer services.Through the content of virtual load-balancer services management in the cloud resource management platform studied in this paper,users can use a strictly controlled process to quickly and easily order load balancing resources and configure reasonable parameters to obtain more efficient load-balancer services.Not only can it improve the experience,but it can also greatly reduce the threshold for using cloud resource management platforms,improve the use efficiency of virtual resources and physical machine clusters,and expand horizontally,thereby completing the improvement of resource scheduling and computing capabilities.