Performance Optimization for High Concurrency Online Exam System
Online exam is an important component of online education,and due to the rapid development of online education,coupled with the particularity of exams,online exam systems often face high-concurrency scenarios.This paper analyzes the high-concurrency scenarios that occur in online exam systems and proposes two optimization methods based on Redis cache layer:cache warm-up and delayed write,which are used to improve the performance of high-concurrency reading at the beginning of online examination and high-concurrency writing during online examination.Experimental results show that these two methods can effectively improve the throughput of single machine processing requests and reduce the average response time of requests,thereby increasing the concurrency of the entire online examination system while keeping the number of machines constant.In addition,to avoid the situation where the entire system cannot provide services when the cache layer is unavailable,this paper proposes a fault-tolerant mechanism that decouples the system from the cache layer,thereby improving the system's availability.Currently,these optimization methods have been used in the"Shuishan"learning platform developed by East China Normal University,effectively improving the user experience.
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