Network coordinate system input delay pre-treatment method based on t detection model

A coordinate system and detection model technology, applied in the Internet field, can solve problems such as unstable network node delay values, inability to dynamically reflect congestion and topology changes, and inability to guarantee the accuracy of delay prediction and its convergence cycle, etc. The effect of accuracy
CN101834901AInactive Publication Date: 2010-09-15UNIV OF ELECTRONICS SCI & TECH OF CHINA

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2010-09-15
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a network coordinate system input delay pre-treatment method based on t detection model. The method is characterized in that: each network node records nearest H direct measuring delay values between the network node and partial neighbour nodes; under the t detection model, according to the delay observed value of the delay queue, confidence interval of observed value at the next moment of the node is estimated, so as to detect and inhibit abnormal delay observed value and obtain delay result smoothly output by the node. The algorithm is based on probability theory t detection model, history record delay sample information between nodes is utilized, and the abnormal delay observed value of the node at the next moment is detected and inhibited, so as to obtain delay result smoothly output by the node, the delay result is used for carrying out network distance semi measure space embedding, thus ensuring the accuracy of the node to establish network coordinate system delay system predication and convergent cycle thereof.
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Description

technical field

[0001] The invention relates to the technical field of the Internet, in particular to a method for preprocessing the input time delay of a network coordinate system based on a t-detection model. Background technique

[0002] In recent years, with the exponential growth rate of the IP network scale, the heterogeneity and complexity of the network structure have increased, resulting in poor visibility of the internal performance of the network. At the same time, with the continuous emergence of new network applications, users' requirements for network service quality continue to rise. Both network service providers and users hope to have timely and accurate first-hand information reflecting the current performance of the network. Optimize network applications to the greatest extent. In the actual IP network, there are many parameters that can reflect the performance and behavior of the network, such as bandwidth, delay, throughput, etc., and the delay between ...

Claims

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