CAJ | 학술논문

缩短Web访问中的用户感知时间,是Web应用中的一个重要问题,服务器需要预测用户未来的HTTP请求和处理当前的网页以提高Web服务器的响应速度,为此提出了一种基于用户访问模式的Web预取算法.该算法根据Web日志信息分析了用户的访问模式,并计算出Web页面间的转移概率,以此作为对用户未来请求预取的依据.实验结果表明,该预取算法能有效提高预测精度和命中率,有效地缩短了用户的感知时间.
축단Web방문중적용호감지시간,시Web응용중적일개중요문제,복무기수요예측용호미래적HTTP청구화처리당전적망혈이제고Web복무기적향응속도,위차제출료일충기우용호방문모식적Web예취산법.해산법근거Web일지신식분석료용호적방문모식,병계산출Web혈면간적전이개솔,이차작위대용호미래청구예취적의거.실험결과표명,해예취산법능유효제고예측정도화명중솔,유효지축단료용호적감지시간.
Reducing user perceived latency (UPL) during web accessing and promoting efficiency in web applications is a key issue. The server is required to predict user' s next HTTP request and pre-proeess the current web page to improve the server' s response speed. A web pre-fetching algorithm is proposed based on user access patterns. This method using web log information to analyse user' s access patterns and calculate the web pages transfer probability matrix so as to predict the user' s next request. The experiments show that this pre-fetching method can dramatic improvement on predictive accuracy and get a good hit ratio with reducing the URL to some extent.