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1. 北京交通大学电子信息工程学院下一代互联网互联设备国家工程实验室,北京100044
2. 中国科学院沈阳自动化研究所网络化控制系统重点实验室,辽宁 沈阳110016
[ "贾濡(1988-),女,吉林长春人,北京交通大学博士生,主要研究方向为未来互联网体系架构、软件定义网络、智慧路由等。" ]
[ "郜帅(1980-),男,河南济源人,博士,北京交通大学副教授、硕士生导师,主要研究方向为下一代互联网关键理论与技术。" ]
[ "罗洪斌(1977-),男,重庆人,博士,北京交通大学教授、博士生导师,主要研究方向为通信网络技术、未来互联网体系结构、网络生存性。" ]
[ "张宏科(1957-),男,山西大同人,博士,北京交通大学教授、博士生导师,北京交通大学下一代互联网互联设备国家工程实验室主任,主要研究方向为下一代信息网络关键理论与技术。" ]
[ "万明(1984-),男,内蒙古通辽人,博士,中国科学院沈阳自动化研究所副研究员,主要研究方向为未来网络与信息安全、工业控制系统信息安全。" ]
网络出版日期:2016-04,
纸质出版日期:2016-04-25
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贾濡, 郜帅, 罗洪斌, 等. 智慧协同网络中基于流量矩阵的负载均衡路由机制[J]. 通信学报, 2016,37(4):128-138.
ARu JI, Shuai GAO, Hong-bin LUO, et al. Traffic matrix-based load balancing routing in flow-based smart identifier network[J]. Journal of communications, 2016, 37(4): 128-138.
贾濡, 郜帅, 罗洪斌, 等. 智慧协同网络中基于流量矩阵的负载均衡路由机制[J]. 通信学报, 2016,37(4):128-138. DOI: 10.11959/j.issn.1000-436x.2016080.
ARu JI, Shuai GAO, Hong-bin LUO, et al. Traffic matrix-based load balancing routing in flow-based smart identifier network[J]. Journal of communications, 2016, 37(4): 128-138. DOI: 10.11959/j.issn.1000-436x.2016080.
智慧协同网络具有能够实时准确测算流量矩阵的特点。将流量矩阵作为约束,对负载均衡路由优化问题进行建模,利用拉格朗日对偶方法,将原问题转化为优化目标易实现的对偶问题。为实现对偶问题优化目标,提出一种基于流量矩阵的负载均衡路由 (TM-LB
traffic matrix based load balancing) 算法,供控制层根据实时网络情况为后续流规划传输路径。利用OMNET++仿真器在NFSnet拓扑结构上进行仿真实验,结果表明TM-LB相比传统路径规划机制能有效避免拥塞,实现负载均衡。最后,搭建原型系统对TM-LB算法的开销进行测试。
Smart identifier network (SINET)has an advantage of being aware of the accurate traffic matrix. Traffic ma-trix was use as the constraint
model on load balancing routing problem
and transform the primal problem into dual problem by using Lagrange function. Therefore
the optimization goal of the dual problem can be easily achieved. In or-der to achieve the dual problem optimization goal
a traffic matrix based load balancing routing algorithm (TM-LB)was proposed. By performing the TM-LB
the control plane can plan paths for subsequent traffic according to network fluctu-ation. OMNET++ was used to run the experiment simulation based on NSFnet topology. The results show that TM-LB can better reduce congestion and realize load balancing
compared with traditional routing mechanism. Finally
a proof-of-concept was built implementation and carry out experiments for testing the overhead of TM-LB algorithm.
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