命名数据网络中持久兴趣的自适应转发

Philipp Moll, Julian Janda, H. Hellwagner
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引用次数: 14

摘要

持久兴趣(pi)是在命名数据网络(NDN)中引入推送型流量的一种很有前途的方法,特别是对于语音和视频呼叫等会话服务。PI的转发决策在NDN中是至关重要的,因为它们为流向PI发行者的数据建立了一条长期的路径。在研究PI在NDN中的使用过程中,我们研究了自适应PI转发,并提出了一种结合常规NDN转发信息和通过网络探测潜在替代路径的结果的策略。仿真结果表明,当网络条件因链路故障而发生变化时,自适应PI转发方法优于自适应PI最佳路由策略。
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Adaptive forwarding of persistent interests in named data networking
Persistent Interests (PIs) are a promising approach to introduce push-type traffic in Named Data Networking (NDN), in particular for conversational services such as voice and video calls. Forwarding decisions for PIs are crucial in NDN because they establish a long-lived path for the data flowing back toward the PI issuer. In the course of studying the use of PIs in NDN, we investigate adaptive PI forwarding and present a strategy combining regular NDN forwarding information and results from probing potential alternative paths through the network. Simulation results indicate that our adaptive PI forwarding approach is superior to the PI-adapted Best Route strategy when network conditions change due to link failures.
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