Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2007, Vol. 30 ›› Issue (1): 90-95.doi: 10.13190/jbupt.200701.90.wangwl

• Reports • Previous Articles     Next Articles

A Voice Resource Prefetch Algorithm for the Voice Platform Based on VoiceXML

WANG Wen-lin, LIAO Jian-xin, ZHU Xiao-min, WANG Chun   

  1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2006-01-01 Revised:1900-01-01 Online:2007-03-30 Published:2007-03-30
  • Contact: WANG Wen-lin

Abstract:

By analyzing the present dominating prefetch algorithms’ advantages and disadvantages, according to the difference between VoiceXML-based voice platform and HTML-based World Wide Web, it is proposed that the cited voice resource should be prefetched in VoiceXML-based voice platform. At the same time of adopting the hot-spot-based prefetch technology, an adaptive multi-user shared Markov prediction model is presented, which can predict the forthcoming required resource of all the online users and its probability to improve the accuracy of the prediction. The simulation research showed that this multi-user shared Markov prediction model could get a higher hit ratio, reduce delay of a user’s request and improve response speed comparing with the single-user Markov prediction model with the same consumed bandwidth.

Key words: VoiceXML, Prefetch, Multi-user shared Markov predict model

CLC Number: