OTP系统用户访问预测算法的研究
首发时间:2012-12-27
摘要:Web服务器性能优化是互联网领域中一个非常重要的研究课题。OTP动态口令认证系统作为一种Web应用系统,随着用户人数的快速增加,在高并发访问情况下的响应性能迫切需要提升。大多数已有的服务器性能优化方案都只是基于服务器配置优化、架构优化方面,而没有从程序处理逻辑本身寻找突破点,进而运用相关技术理论进行优化的方案。本文结合web日志分析与统计学理论,设计了一种高命中率的用户访问预测算法,从应用程序数据访问层面对系统进行了优化,实验证实将其融合到现有的OTP系统中,能够有效的提升系统的响应性能。
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The Study on User Access Prediction Algorithm of OTP System
Abstract:Web server performance optimization is a very important research subject in the field of the Internet. One-Time Password authentication system as a kind of Web application system, along with the user count rapid increase, the system's response performance is urgently need to improve in high concurrent access situation. Most of the existing server performance optimization scheme is based on the server configuration optimization, structure optimization, not looking for breakthrough point from the process logic itself and then using the related technical theory for optimization of the scheme. Based on web log analysis and statistics theory, this paper designed a high percentage of users access to prediction algorithm, did the system optimization from the application data access level. The experiment confirmed that after taken it into the existing OTP system, it effectively improved the system response performance.
Keywords: Web log mining OTP Performance improvement Prediction algorithm
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