中文摘要：

万维网为信息传播成为了主要工具。由于网络带宽的有限资源，用户们总是受不了长期的等待。网预取并且网缓冲是减少用户的主要途径察觉的存取潜伏并且改进服务质量。在这篇论文，随机的 PetriNets (SPN ) 基于综合的网预取，缓冲模型(IWPCM ) 被介绍， IWPCM 的性能评价被做。性能度量，存取潜伏，产量， HR (命中率) 和 BHR (字节命中率) 被分析并且讨论。模拟证明与缓冲仅仅模型(厘米) 相比， IWPCM 能进一步高效地改进产量， HR 和 BHR 并且减少存取潜伏。性能评价能为网预取并且缓冲的实现基于 SPN 模型提供一个基础，网预取并且缓冲的联合保持改进网系统的 QoS 的诺言。

英文摘要：

The World Wide Web has become the primary means for information dissemination. Due to the limited resources of the network bandwidth, users always suffer from long time waiting. Web prefetching and web caching are the primary approaches to reducing the user perceived access latency and improving the quality of services. In this paper, a Stochastic Petri Nets （SPN） based integrated web prefetching and caching model （IWPCM） is presented and the performance evaluation of IWPCM is made. The performance metrics, access latency, throughput, HR （hit ratio） and BHR （byte hit ratio） are analyzed and discussed. Simulations show that compared with caching only model （CM）, IWPCM can further improve the throughput, HR and BHR efficiently and reduce the access latency. The performance evaluation based on the SPN model can provide a basis for implementation of web prefetching and caching and the combination of web prefetching and caching holds the promise of improving the QoS of web systems.