提出一种新的估计ATM复用器信元丢失率的方法。
The paper proposes a new approach to estimating the cell loss probability in ATM.
该方法能有效地避免拥塞发生，同时降低信元丢失率，且结构简单。
The proposed method with a simple structure can avoid the congestion effectively, and reduce cell loss rate.
研究结果表明，增大缓冲器容量可以降低信元丢失率，但会增大时延和时延抖动。
The analysis shows that although loss probability decreases through expanding buffer capacity, delay and delay jitter increase, whose effect on QOS will not be negligible.
在此基础上进行了上海站ATM网络性能分析，并重点论述了ATM网络信元丢失率。
Through the result we analyze the performances of ATM network of Shanghai Railway Station, specially the cell loss probalility as an important factor in ATM networks performance.
ATM交换单元采用的输入排队由于存在队头阻塞严重影响了吞吐率，并且信元丢失率也很大。
Head-of-line blocking exists in input queuing used by ATM switching element , which severely affects the throughput , and the cell lo ss is also very large.
针对“漏桶”模型提出了一种改进方法，其基本思想是通过增加输入数据缓冲区，来降低信元丢失率。
The paper proposes an improvement of Leaky Bucket Technique. The basic idea is to decrease the cell losing ratio by adding an input buffer.
自相似性对信元丢失率、网络延迟等系统性能有重要影响，因此基于自相似模型的研究显得日益重要。
Self-similar is very important to system performance such as Cell Loss Ratio (CLR), network delay, and so on, so study of self-similar models is increasingly significant nowadays.
通过计算机模拟，针对改进的漏桶法对信元丢失率、信元平均延迟、信元延迟方差带来的影响进行了定量的分析。
Through the computer simulation, a quantitative analysis is given about the influence that the modified model brings to the cell losing ratio, the cell average delay and the average delay variance.
该文通过所设计的AT M网络VBR视频传输实验，获得了不同复用缓冲区大小及复用输出速率下的信元丢失率。
In this paper, the cell loss ratios in ATM network are got by varied the multiplex buffer size and multiplex rate using the designed VBR video transmission experiment.
仿真结果表明在降低信元丢失率、时延和时延抖动方面，及在动态利用网络资源方面，模糊漏桶算法要比普通的优越。
Simulation results show that FLB algorithm is better than LB in some aspects of lowering cell loss probability, improving delay and delay jitters, and utilizing efficiency of resource.
仿真结果表明在降低信元丢失率、时延和时延抖动方面，及在动态利用网络资源方面，模糊漏桶算法要比普通的优越。
Simulation results show that FLB algorithm is better than LB in some aspects of lowering cell loss probability, improving delay and delay jitters, and utilizing efficiency of resource.
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