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网络层析成像技术在网络拓扑推断中的应用

Application of Network Tomography in Network Topology Inference
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摘要 网络层析成像是根据端到端的测量,通过反演推断获取网络的内部特性。层析成像技术不需要网络内部节点的合作,只需要选择一组接收节点即可完成对网络内部特性的推断,利用网络层析成像技术可以解决网络内部节点不合作的问题。本文讨论了网络层析成像在网络拓扑推断中的测量方法和推断方法,对比了当前的测量方法和推断方法。根据当前的研究讨论了网络层析成像在拓扑推断中的技术难点和下一步研究方向。 Network tomography is a novel technology, which can induce network internal characteristics based on end-to-end measurements. When inducing the internal characteristics, only a group of receiver nodes needed not the internal nodes. The topology inference technologies based on network tomography were discussed, the measurement methods and inference methods in network topology inference were discussed, the difficulties and the next step research on network topology inference were discussed also.
出处 《电信科学》 北大核心 2008年第1期71-75,共5页 Telecommunications Science
基金 国家自然科学基金重大研究计划资助项目(No.90304016)
关键词 网络层析成像 “邻接”分组对 “三明治”分组列车 DBT network tomography, "back to back"packet pair, "sandwich"packet, DBT
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