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IP network congestion link positioning method

A technology of IP network and positioning method, applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problems of IP network modeling that cannot be dynamically routed, congested link errors, etc.

Inactive Publication Date: 2017-02-22
中国人民解放军防空兵学院 +1
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Problems solved by technology

[0005] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and provide a method for locating IP network congested links, to solve the problem that the traditional method of inferring IP network congested links by means of active network tomography technology cannot be used for dynamic routing of IP networks. Carry out accurate modeling, so that the problem of inferring a certain error in congested links

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Embodiment Construction

[0063] In order to facilitate the understanding of the present invention, the present invention will be described in more detail below with reference to the drawings and specific embodiments. The drawings show preferred embodiments of the present invention. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0064] It should be noted that, unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the description of the present invention are only for the purpose of describing specific embodiments, and are not used to limit the present invention. The term "and / or" as u...

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Abstract

The invention discloses an IP network congestion link positioning method. In the method, aiming at dynamic characteristics of IP network routing, a variable structure discrete dynamic Bayesian network model is established according to detection results of path performance and a topology structure obtained by multiple end-to-end detection, and is simplified according to first-order Markovian hypothesis and homogeneity hypothesis, and an IP network congestion link is deduced based on the simplified model, so that the deduction of the IP network congestion link under dynamic routing is realized. By performing imitation experiments and simulation experiments on different types and scales of IP networks and using a traditional CLINK algorithm and the method provided by the invention to deduce the congestion link in the same scene respectively, the experiment proves that compared with the CLINK algorithm, the method provided by the invention is higher in deduction accuracy and robustness.

Description

Technical field [0001] The invention relates to the field of network congestion control, in particular to a method for locating congested links in an IP network. Background technique [0002] IP network link performance inference technology is very important to the majority of network users, especially network operators and managers. With the rapid expansion of the scale of IP networks and the increasingly diverse network structures, manual periodic inspections can no longer meet the needs of current large-scale networks. ICMP (Internet Control Message Protocol)-based IP network internal congestion link performance inference uses active detection technology, and only some end-to-end (E2E) paths in the IP network to be tested are taken multiple snapshots (snapshots), Obtain the performance and topology information of each E2E path in the network to be tested, and use Bayesian theory to infer the internal link performance of the IP network. Compared with the passive detection tec...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/801H04L12/24H04L12/26
CPCH04L47/11H04L41/145H04L41/147H04L43/16H04L47/127
Inventor 钱叶魁刘凤荣陈宇叶立新赵鑫张兆光邹富春杜江黄浩蒋文峰李宇翀李柏楠王丙坤韩金城李涛
Owner 中国人民解放军防空兵学院
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