Service flow information-based link state prediction method for an SDN

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

Active Publication Date: 2022-01-28
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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  • Service flow information-based link state prediction method for an SDN
  • Service flow information-based link state prediction method for an SDN
  • Service flow information-based link state prediction method for an SDN

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Embodiment Construction

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

[0032] The present invention proposes a link state prediction method based on service flow information in an SDN network, including the following steps:

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

[0034] SDN network equipment has basic statistical functions, which can count information such as the amount of data uploaded and downloaded by ports. Many commonly used calculation methods are not described here), in order not to affect the normal forwarding efficiency of data packets, the present invention copies the data traffic passing through the intermediate node in the link to the bypass server (edge ​​stream processing server) through port mirroring In this way, there is no need to install plug-ins on the original server in the link to increa...

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Abstract

The invention discloses a service flow information-based link state prediction method for SDN. The method comprises the following steps of acquiring data flow in a link, counting the data flow according to a protocol to obtain a statistical index, obtaining a calculation index according to the statistical index, and predicting the link state according to thecalculation index. According to the method, the statistical index is obtained by counting the data flow according to the protocol, the calculation index containing the service information is obtained through the statistical index, and the calculation index is used as the input of the prediction model for final prediction. As the calculation index contains the service category information (such as the data volume transmitted by each service and the proportion of the number of different services), the input granularity is updated, and the accuracy of link state prediction is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of SDN network, and in particular relates to a link state prediction method and system of an SDN network based on service flow information. Background technique [0002] A software-defined network (Sofeware Defined Network, SDN) has 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 status of each link in the topology (such as the used link bandwidth, delay, packet loss rate, etc. of the link). To achieve accurate scheduling, SDN needs to perceive links in a timely and accurate manner. state. [0003] The current link state perception methods mainly include measurement and prediction. The former uses active measurement or passive measurement to obtain the link status of the current network; the latter analyzes the change trend of tr...

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Application Information

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Patent Type & Authority Applications(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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