| 网络随机接入ON-OFF重尾流的准入控制研究 |
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| 引用本文： | 姚正林,刘金刚. 网络随机接入ON-OFF重尾流的准入控制研究[J]. 计算机工程, 2005, 31(10): 13-15,21 |
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| 作者姓名： | 姚正林 刘金刚 |
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| 作者单位： | 中国科学院计算技术研究所-首都师范大学计算机科学联合研究院,北京,100081;中国科学院计算技术研究所-首都师范大学计算机科学联合研究院,北京,100081 |
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| 摘 要： | 近年来的许多研究表明，随着网络带宽的增大，业务量不断增多，网络中的数据流呈现出自卡相似性，具有很强的长相关特点，这就使得传统的基于短相关的Markov流量分析方法不再适用，该文对渐进自相似流进行了分析，在分析了系统输入固定数据量叠加的ON-OFF重尾间隔流排队模型基础之上，提出了随机接入重尾数据流的准入控制算法，并进行了仿真分析。
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| 关 键 词： | 自相似 重尾分布 随机接入 准入控制 |
| 文章编号： | 1000-3428(2005)10-0013-03 |
Research on Call Admission Control of Stochastic Accessing ON-OFF Heavy Tailed Flows |
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| YAO Zhenglin,Liu Jingang. Research on Call Admission Control of Stochastic Accessing ON-OFF Heavy Tailed Flows[J]. Computer Engineering, 2005, 31(10): 13-15,21 |
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| Authors: | YAO Zhenglin Liu Jingang |
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| Abstract: | In recent years, lots of research have shown that flows in the network are the characteristic of self-similarity with bandwidth extending and services increasing. The self-similar traffic is long-range dependence. So, the traditional method of analyzing network performance based on Markov short-range dependent flows is not available. In this paper, the performance of asymptotic self-similar traffic has been analyzed. A call admission control (CAC) algorithm of stochastic number accessing heavy tail distribution interval ON-OFF flow has been proposed based on certain number of it. The model has been tested in simulating experiment, and has been proved available. |
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| Keywords: | Self-similarity Heavy tail distribution Stochastic accessing CAC |
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