针对基于云南财经大学现有的网络条件,着力探索改善网络选课过程中大并发量处理的策略,主张利用F5_BIG_IP LTM设备搭建网络和服务器负载均衡,以解决在实时选课过程中处理大量学生并发访问选课平台可能引起的服务器过载不能响应学生的请求问题.该架构能够在实际使用过程中很好的解决大并发量的拥堵问题,并且负载均衡技术为对日益增涨的Web应用服务提供了一种可靠稳定的架构,为网上实时处理大并发量访问拥堵问题提供了一种参考方案.
The paper focuses on the strategy of improving the large amount of concurrent processing during online course selection, based on the existing network condition of Yuunan University of Finance and Economics. With server load balancing by F5_BIG_IP LTM, it can solve the problem that overload server can't response to the concurrent access of a large number of students in the course of real-time course selection. This architecture can greatly solve the problem of network congestion coursed by concurrency access in the process of actual practice. Load balancing technology provides a reliable and stable architecture for increasing Web service application. And it provides a reference for real-timely dealing with the congestion problem of online concurrent access.