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A kind of sdn enhanced path packing device and method

A path and backup path technology, applied in digital transmission systems, instruments, data exchange networks, etc., can solve problems such as new additions

Active Publication Date: 2020-09-18
JIANGSU JUNYING TIANDA ARTIFICIAL INTELLIGENCE RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the present invention provides an SDN enhanced path boxing device and method to solve the technical problem of new service boxing for network load in the SDN communication network

Method used

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  • A kind of sdn enhanced path packing device and method
  • A kind of sdn enhanced path packing device and method
  • A kind of sdn enhanced path packing device and method

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Embodiment Construction

[0063] The present invention is described in further detail now in conjunction with accompanying drawing.

[0064] An SDN enhanced path packing device provided by the present invention includes:

[0065] The network service dispatch center refers to the module that provides basic communication and management functions for the system, and its core component is an SDN controller, such as Floodlight, POX, NOX, etc. Component interfaces mainly include: 1. Northbound interface for transmitting customized parameters; 2. Data packet interface for transmitting packet-in or packet-out messages; 3. Flow table interface for delivering flow table or forwarding flow table ; 4. The interface used to obtain the network topology. Its main functional modules include: network topology identification, business load evaluation, network routing calculation, etc.

[0066] Service load evaluation refers to the evaluation of index information such as the size and delay of data traffic entering the ...

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Abstract

An SDN enhanced path boxing device and method are used to solve the boxing problem that occurs in path calculation units based on SDN controllers. The present invention comprehensively considers relevant constraints such as bandwidth resources, disturbances, and time delays in the communication network, uses a particle swarm algorithm, and combines with related technologies of the network topology planning module of the SDN controller, aiming at intelligentization when the new service bandwidth resources in the network are insufficient. Adjusting business path planning to provide packing schemes belongs to the field of intelligent algorithm optimization for telecommunication networks. The main innovations include: 1. The orchestration scheme of network packing business based on SDN technology; 2. Introducing SDN-based network business scheduling into the packing decision model; 3. Using the particle swarm algorithm model to improve the global bandwidth utilization of the network.

Description

technical field [0001] The invention belongs to the field of intelligent algorithm optimization of telecommunication networks, and in particular relates to an SDN enhanced path packing device and method. Background technique [0002] In the current communication network environment, bandwidth resources are the most critical resources in the network. When the network load is unbalanced, that is, the bandwidth utilization rate of some parts of the network is too high, while the bandwidth utilization rate of the rest of the network is too low, it will cause unnecessary network congestion and waste of resources, and it will occur when the current overall network bandwidth resources are sufficient The legal path cannot be calculated for the newly added service. In order to realize the reasonable utilization of network resources, some intelligent algorithms can be used to adjust the distribution of network resource usage, and calculate the optimal path allocation scheme, that is,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/721H04L12/741H04L12/803G06N3/00H04L45/74
CPCG06N3/00
Inventor 王士昭周睿
Owner JIANGSU JUNYING TIANDA ARTIFICIAL INTELLIGENCE RES INST CO LTD