Link state prediction method and system for sdn network based on service flow information

A technology of link status and prediction method, applied in transmission systems, electrical components, etc., can solve the problems of coarse input, difficulty in passively obtaining upper-layer application information, and low prediction accuracy for intermediate nodes, and achieve the effect of improving accuracy.

Active Publication Date: 2022-04-19
中科南京信息高铁研究院
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Problems solved by technology

However, because the current service flow information measurement method can only obtain service flow information at the end nodes through active packet sending or plug-in monitoring, it is difficult for the intermediate nodes of the network to passively obtain upper-layer application information. The existing neural network-based link state prediction methods only Rely on information below the application layer for prediction, the input is still at a coarse granularity, and the prediction accuracy is not high

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  • Link state prediction method and system for sdn network based on service flow information
  • Link state prediction method and system for sdn network based on service flow information
  • Link state prediction method and system for sdn network based on service flow information

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[0031] In order to further describe the technical features and effects of the present invention, the present invention is further described below in conjunction with the accompanying drawings and specific embodiments.

[0032] The present invention proposes a link state prediction method for SDN network based on traffic flow information, comprising the following steps:

[0033] Step 1: Obtain the data traffic in the link;

[0034]SDN network equipment has basic statistical functions, can count the amount of data uploaded and downloaded by the port and other information, based on this information can be realized link state information calculation (such as the used link bandwidth and upload and download rate related, in reality there have been many commonly used calculation methods, not to be repeated here), in order not to affect the normal forwarding efficiency of the packet, the present invention through the port mirroring of the link through the intermediate node of the data tr...

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Abstract

The invention discloses a link state prediction method based on service flow information in an SDN network, which includes: obtaining data flow in the link; counting the data flow according to the protocol to obtain a statistical index; obtaining a calculation index according to the statistical index; To predict the link state, the present invention obtains the statistical index by counting the data flow according to the agreement, and then obtains the calculation index including the service information through the statistical index, and uses the calculation index as the input of the prediction model for the final prediction, because the calculation index includes Service category information (such as the amount of data transmitted by each service and the proportion of different services, etc.), makes the input granularity update, thus effectively improving the accuracy of link state prediction.

Description

Technical field [0001] The present invention belongs to the field of SDN network technology, in particular to an SDN network based on service flow information link state prediction method and system. Background [0002] Software-defined networks (Sofeware Defined Networks) have a globally controllable control plane and an efficient forwarding plane, and decision makers can schedule and optimize network resources based on global information. Global information includes the network topology and the link state of each link in the topology (such as the used link bandwidth, latency, packet loss rate, etc.) of the link, and SDN needs to realize accurate scheduling in a timely and accurate sense of link state. [0003] The current link state perception methods mainly measure and predict. The former uses active measurement or passive measurement to obtain the link state under the current network, while the latter analyzes the change trend of traffic on the link and predicts the link sta...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L43/0876H04L41/14H04L41/147H04L67/1095
CPCH04L43/0876H04L41/145H04L41/147H04L67/1095
Inventor 王淼张亚文朱树永张玉军
Owner 中科南京信息高铁研究院
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