Using cache in the voice platform based on VoiceXML (Voice eXtensible Makeup Language) could reduce the cost of network bandwidth, server-load and access delay. By 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 enhance the system performance.
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