Design and Implementation of Network Course-choosing Based on the F5 Load Balancing Technology
Jia Wang, Gao Yinchun · 2020
The paper based the exploration of improving the strategy of large amount of concurrent processing during the network course-choosing on the existing network condition of Yunnan University of Finance and Economics, which combined network with server load balancing by F5_BIG_IP LTM, in order to solve the problem that server overload can't response to the request of the students may be coursed by a large number of students access the elective course platform concurrently. This architecture greatly solved the problem of network congestion coursed by concurrency access in the process of actual practice. Load balancing technology service provides a reliable and stable architecture for increasing Web application service and a reference scheme for real-timely dealing with the congestion problem online of concurrency access.