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业务自相似性对光突发交换调度算法影响分析
引用本文:王汝言, 吴大鹏, 隆克平. 业务自相似性对光突发交换调度算法影响分析[J]. 电子与信息学报, 2008, 30(8): 1989-1993. doi: 10.3724/SP.J.1146.2006.02063
作者姓名:王汝言  吴大鹏  隆克平
作者单位:1. 重庆邮电大学通信与信息工程学院,重庆,400065;电子科技大学通信与信息工程学院,成都,610054
2. 北京邮电大学宽带通信网络实验室,北京,100876
3. 电子科技大学通信与信息工程学院,成都,610054
基金项目:国家自然科学基金,国家重点基础研究发展计划(973计划),国家高技术研究发展计划(863计划),教育部跨世纪优秀人才培养计划,重庆市科委资助项目,重庆市教委资助项目
摘    要:使用泊松业务流模型对光突发交换网络进行性能分析不能准确地反映网络状态。该文从理论上对突发包长度进行了推导,对基于时间门限汇聚机制下突发包数据流自相似程度进行了计算机仿真测量,并利用自相似业务流模型对光突发交换网络中比较常用的LAUC和LAUC-VF调度算法进行了性能仿真。仿真结果表明:基于时间门限的汇聚机制能够有效地降低数据流自相似程度,数据流的自相似特性对LAUC算法的影响并不非常明显,但对LAUC-VF算法的性能则产生了比较严重的影响,其突发包丢失率较泊松流平均增加了近3个百分点。

关 键 词:光突发交换   自相似业务   调度算法
收稿时间:2006-12-26
修稿时间:2007-07-06

Performance Analysis of Scheduling Algorithm Based on Self-Similar Traffic in Optical Burst Switching Networks
Wang Ru-yan, Wu Da-peng, Long Ke-ping. Performance Analysis of Scheduling Algorithm Based on Self-Similar Traffic in Optical Burst Switching Networks[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1989-1993. doi: 10.3724/SP.J.1146.2006.02063
Authors:Wang Ru-yan  Wu Da-peng  Long Ke-ping
Affiliation:School of Communication and Information Engineering, Chongqing Univ. of Posts and Telecom., Chongqing 400065, China;School of Communication and Information Engineering, Univ. of Electronic Science and Technology of China, Chengdu 610054, China;Broadband Communication Network Lab, Beijing Univ. of Posts and Telecom., Beijing 100876, China
Abstract:Analysis on Optical Burst Switching(OBS)network performance based on the Poisson model would not be exactly. In this paper, the distribution of data burst length is researched, and it is simulated that the self-similarity of data burst traffic assembled by time-based mechanism, moreover, the performance of LAUC and LAUC-VF are shown in the simulations. Simulation and theoretical results show that the assembly mechanism based on time threshold can decrease the traffic’s self-similarity, on the other hand, the influence of self-similarity on LAUC is small, but much greater on LAUC-VF whose burst drop probability will be decreased by 3 percent than Poisson stream.
Keywords:Optical Burst Switching (OBS)  Self-similar traffic  Scheduling algorithm
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