| 自相似业务量产生机理与模型精度分析 |
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| 引用本文： | 陈炳锋,徐从富,何俊.自相似业务量产生机理与模型精度分析[J].计算机工程与应用,2009,45(3):101-103. |
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| 作者姓名： | 陈炳锋 徐从富 何俊 |
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| 作者单位： | 1. 浙江大学,计算机学院,杭州,310027
2. 浙江省辐射环境监测站,杭州,310012 |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划) |
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| 摘 要： | 对通过叠加满足Pareto重尾分布的ON/OFF业务点产生自相似业务量的方法进行了较系统的分析。在介绍了这种自相似业务量实现方式的理论基础后,给出了一种检验业务点叠加数量与模型精度之间关系的研究方法。仿真结果表明:当叠加ON/OFF业务点数量为44时,自相似业务量Hurst参数的相对平均误差分别为6.8%(H=0.6)和5.0%(H=0.9);当叠加ON/OFF业务点数量为132时,自相似业务量Hurst参数的相对平均误差为1.25%(H=0.6)和0.85%(H=0.9)。
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| 关 键 词： | 自相似 重尾分布 Pareto ON/OFF |
| 收稿时间： | 2008-7-8 |
| 修稿时间： | 2008-9-27
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Analysis on generation mechanism of self-similar traffic and its accuracy of model |
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| CHEN Bing-feng,XU Cong-fu,HE Jun.Analysis on generation mechanism of self-similar traffic and its accuracy of model[J].Computer Engineering and Applications,2009,45(3):101-103. |
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| Authors: | CHEN Bing-feng XU Cong-fu HE Jun |
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| Affiliation: | CHEN Bing-feng1,XU Cong-fu1,HE Jun21.College of Computer Science,Zhejiang University,Hangzhou 310027,China 2.Radiation Environment Monitoring Station of Zhejiang Province,Hangzhou 310012,China |
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| Abstract: | In this paper,the self-similar traffic generated by multiplexing the ON/OFF points which meet the Pareto heavy-tail distribution is discussed.The corresponding theory of the method above is introduced and then the research method on the rela- tionship of the number of the points and the precision of the self-similar traffic model is given.Simulation results show that the relative average error of the Hurst parameter in the self-similar model is 6.8% when H=0.6 and 5.0% when H=0.9 in the case that the number... |
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| Keywords: | Pareto ON/OFF |
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