VoiceXML语音平台中预取方案的研究
doi: 10.3724/SP.J.1146.2006.00328
The Study on Prefetch Schema for the VoiceXML-Based Voice Platform
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摘要: 该文在分析目前主要预取算法优劣的基础上,根据VoiceXML语音平台与基于HTML的WWW之间的区别,认为在VoiceXML语音平台中应该预取其引用的语音资源,提出一种自适应的多用户共享的Markov预测模型,统一预测所有在线用户下一步所需的资源及其访问概率,有助于提高预测的准确率。最后,该文还提出抢占式优先级模型来调度预取任务,将资源的访问概率映射为优先级。仿真研究表明,与单用户预测算法和循环调度模型比较,该预取算法和调度模型都能很好地减少用户请求的访问延迟,提高响应速度。Abstract: By analyzing the present mainly prefetch algorithms advantages and disadvantages, ccording to the difference between VoiceXML-based voice platform and HTML-based World Wide Web, it is proposed that the voice resource should be prefetched in VoiceXML-based voice platform. An adaptive multi-user shared predict Markov model is presented to predict the probability of the forthcoming required resource of all the online users, which help to improve the veracity of the prediction. Finally, a preemptive priority model is designed to schedule the prefetch tasks, which mapped the resource access probability to the task priority. The simulation research shows that the predict algorithm and the schedule model can reduce delay of a users request and improve response speed better than that of single-user predict Markov model and Round-Robin (RR) schedule model.
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