欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
在基于VoiceXML（Voicee Xtensible Makeup Language）的语音平台上使用缓存有利于减少网络带宽的消耗，降低服务器的负荷，缩短用户的等待时间．通过分析语音平台的缓存模型，提出了拟合预测算法，对随机分布进行参数拟合，预测一定时间内VoiceXML文档修改的概率，从而确定缓存中的文档是否有效．仿真研究表明，该算法能得到低于1／10000的文档过期率以满足语音呼叫的需求，同时能有效提高系统性能，优于Alex算法．
英文摘要：
Using cache in the voice platform based on VoiceXML （Voice eXtertsible Makeup Language） could reduce the cost of network bandwidth, server-load and delay of request. Through analyzing the cache model of voice platform, the Fitting ＆ Predicting algorithm is proposed. It estimates the validity of the cached document by performing parameter fits to stochastic distribution and predicting the change probability of VoiceXML documents within a certain period. Simulated research indicates the algorithm surpasses the Alex protocol and can obtain a stale ratio lower than 1/10000 to meet the demand of the voice platform while effectively enhancing the system performance.
同期刊论文项目
同项目期刊论文
位置：