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命名数据网络中VIP转发方案的性能优化

Performance optimization of VIP forwarding scheme in named data networking

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【作者】 金洋吕金阳谭小彬

【Author】 JIN Yang;LV Jinyang;TAN Xiaobin;Laboratory for Future Networks,University of Science and Technology of China;

【机构】 中国科学技术大学未来网络实验室

【摘要】 命名数据网络(named data networking,NDN)是信息中心网络(information centric network,ICN)的一个典型实例,是未来网络一种可能的架构。为优化NDN的转发性能,要求转发平面能根据不同的网络环境自适应地调整转发策略、选出最优的转发接口。"虚拟兴趣分组"(virtual interest packet,VIP)架构是一种基于NDN的联合动态转发与缓存的网络架构,通过VIP架构对转发方案进行了性能优化。VIP架构的转发方案使用了背压算法,该算法在网络处于轻负载状态时时延较大,为此引入偏差函数进行优化。为检测优化效果,对原始VIP架构和优化后的VIP架构的转发性能进行了仿真实验对比。实验结果显示,优化后的转发方案相比原方案在转发时延上有一定降低。且由于偏差函数的引入不会增加原转发方案的时间复杂度,因此提出的方法可以优化VIP转发方案的性能。

【Abstract】 Named data networking( NDN) is a typical instance of information-centric networking( ICN),which is a possible framework for future network. To optimize the forwarding performance of NDN,it is necessary for forwarding plane to adjust forwarding strategies and choose the most suitable forwarding interfaces adaptively. The "virtual interest packet"( VIP) framework,within the context on the NDN,is designed for distributed dynamic forwarding and dynamic caching.The performance of forwarding scheme based on the VIP framework is optimized in this paper. The VIP framework employs a backpressure algorithm for forwarding. When the network is lightly loaded,there will be a larger delay. A bias function is proposed to improve the forwarding performance. Simulation experiments are designed to check the forwarding performance of VIP framework and the optimized one. The experimental result demonstrates the superior delay performance of the optimized forwarding scheme. Furthermore,the bias function doesn’t increase the time complexity of the original scheme,which implies the method proposed in this paper can optimize the performance of VIP forwarding scheme.

【基金】 国家自然科学基金(61673360,61233003);中兴通讯产学研合作基金~~
  • 【文献出处】 重庆邮电大学学报(自然科学版) ,Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition) , 编辑部邮箱 ,2018年01期
  • 【分类号】TP393.02
  • 【被引频次】3
  • 【下载频次】81
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