| 基于超爱尔兰分布的自相似网络排队模型研究 |
| |
| 引用本文： | 徐兴,岳学军,林涛. 基于超爱尔兰分布的自相似网络排队模型研究[J]. 计算机工程与应用, 2012, 48(18): 71-75 |
| |
| 作者姓名： | 徐兴 岳学军 林涛 |
| |
| 作者单位： | 华南农业大学 工程学院 电子工程系，广州 510642 |
| |
| 基金项目： | 国家自然科学基金，广东高校优秀青年创新人才培育项目，广东省农业机械化科研课题项目 |
| |
| 摘 要： | 现有网络的业务流研究表明，多种通信业务中普遍存在自相似特性，但是如何对自相似业务流进行建模和分析一直是个难解问题。基于超爱尔兰拟合算法，建立了到达为泊松分布，服务时间为超爱尔兰分布的M/HErD/1/K自相似排队模型，推导得到呼叫损失概率、平均排队队长等排队性能的解析解。在实际业务环境下和传统的M/M/1/K排队模型进行了仿真对比，结果表明M/HErD/1/K模型不仅可有效表征业务流的快挂业务特性，而且能仿真出该网络在业务负荷较重时潜在的运营风险，对实际网络运营管理具有重要的指导作用。
|
| 关 键 词： | 超爱尔兰分布 排队模型 自相似 |
Research on queuing model of self-similar network based on hyper-erlang distribution |
| |
| XU Xing , YUE Xuejun , LIN Tao. Research on queuing model of self-similar network based on hyper-erlang distribution[J]. Computer Engineering and Applications, 2012, 48(18): 71-75 |
| |
| Authors: | XU Xing YUE Xuejun LIN Tao |
| |
| Affiliation: | Department of Electronic Engineering, College of Engineering, South China Agriculture University, Guangzhou 510642, China |
| |
| Abstract: | Research on network measurement has shown the presence of self-similar properties in great number of network traces,but how to build self-similar queuing model and analyze it has been a problem.On the basis of hyper-erlang fitting method,M/HErd/1/K queuing model with passion arrive rate and hyper-erlang service time is proposed,and the queuing performance of the self-similar network service is derived.Compared with traditional M/M/1/K queuing model under real trace,new model effectively describes not only the quick-hang traffic attribute,but also the potential risk under heavy traffic load.So the proposed model is better,and it is instructive to the network operation and maintenance. |
| |
| Keywords: | hyper-erlang distribution queuing model self-similar |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
