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Research On Quality Of Service In Control Plane In Software Defined Tactical Networks

Posted on:2021-09-05Degree:MasterType:Thesis
Country:ChinaCandidate:W LiuFull Text:PDF
GTID:2506306497466654Subject:Computer Science and Technology
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Modern tactical tasks have complex communication and computing requirements.Tactical networks use radio stations,portable communication equipment,etc.Through data transmission,control messages and multimedia information,tactical networks achieve data collection,command,and joint operations.With the increase in the complexity of tactical networks and the need for joint operations,traditional tactical network architectures have been difficult to meet all needs,and suffer from problems such as complex configuration and excessive protocol overhead.Software-defined network is a new and promising paradigm,aiming to revolutionize the architecture and operation of communication networks.However,since resources and management are distributed in tactical networks,how to apply the centralized SDN paradigm to tactical networks has many difficulties that need to be resolved.As the most important part in the SDN paradigm,the control plane has important theoretical and practical significance.This paper mainly studies the control plane in the software-defined tactical network,and optimizes the service quality of the control plane from multiple angles.Mainly includes:(1)Aiming at the network environment of modern tactical networks,a layered multi-controller architecture is designed.By separating the frequency bands of data signals and control signals,multiple controllers are deployed to enhance the stability and response capabilities of the control plane.Since the deployment of the controller has a great influence on the response delay of the control plane,this paper models and solves the problem of the deployment of the controller,reduces the transmission delay of the control plane,and optimizes the energy consumption of the control plane nodes.Finally,we run a simulation with the controller deployment algorithm in this paper.And compare it with the commonly used clustering algorithm K-means to verify the effectiveness of the algorithm in terms of average transmission delay and energy consumption.(2)In large-scale SDN application scenarios,the reliability of control plane is very important.In a dynamic tactical network,due to the movement of data plane nodes or the proliferation of streaming,control plane will encounter a surge of control message requests,overloading some controllers,affecting the control plane’s responsiveness,and reducing the reliability of the control plane.To ensure the reliability of the service quality of the control plane,a control plane switching algorithm based on load balancing is proposed to handle the imbalance of the control plane load by switching a small number of data plane nodes.This allows the control plane to maintain good service quality.And through simulation experiments,the overloaded controller is switched to verify the effectiveness of the algorithm.(3)The control plane of the software-defined tactical network is susceptible to problems such as loss of connection and node failure.In order to improve the robustness of the control plane,we studied from three aspects: first is to establish a route for each data plane node.The calculation of the routing path proposes a topology discovery method suitable for software-defined tactical networks to ensure that the control plane can collect all kinds of information in a timely manner.Second,when the controller fails,the data plane gains a certain degree of autonomous forwarding capability,that is,a hybrid routing mechanism is used to ensure the robustness of the control plane.The third is to establish a fast recovery mechanism based on backup path selection when there is a problem of node failure in the transmission path.Use these methods to ensure the robustness of the control plane.
Keywords/Search Tags:Software defined tactical networks, Quality of service, Controller deployment, Control plane switch, Fast recovery
PDF Full Text Request
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