PopFlow: a novel flow management scheme for SDN switch of multiple flow tables based on flow popularity

Wang, Cheng; Kim, Young Ho; Youn, Hee Yong

doi:10.1007/s11704-019-8417-5

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…An SDN switch implementing such method can be seen in [28]. It forwards all the data coming from mobile terminals and m-IOT devices implementing the respective rules, enabling connectivity between the edge devices, and empowering the transport traffic between the core network and other edge clouds [30]. Other studies [12,30] focused on implementing learning techniques to improve the control performance while selecting the optimized links into the satellite communication system.…”

Section: B Switching In Sdnmentioning

confidence: 99%

“…In SDN, the controller is considered as the core of the system, by gathering the traffic requirements and the status of the network devices. Based on this information, it defines the control rules to the data plane in order to provide an optimized and efficient network for forwarding data services [30]. In case of saturation due to the amount of exchanged data, the controller may take more time to perform the control operation and thus, the transmission delay may increase.…”

Section: Cp-sdn Controlmentioning

confidence: 99%

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CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS

Djeldjeli¹,

Zoubir

2021

Eng. Technol. Appl. Sci. Res.

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Today, the Software Defined Network (SDN) technology gives more efficiency and flexibility to the 5G mobile networks that are expected to support an enormous amount of data relating to various constrained services. The 5G network should implement newer approaches and technologies that allow supporting the scalability and mobility of the network. The SDN approach consists of decoupling between the control operation and the networking operation, where the control operation is held by the SDN controller that is responsible for defining the management and the control rules. Data forwarding is performed by switches that apply rules defined by their controllers. In the current study, we have proposed and defined a new approach named CP-SDN: Cooperative Protocol-SDN, as an extension to the existing Software Defined Networks, especially when the network experiences saturation due to the huge amount of exchanged data. This congestion may affect the constrained flow and leads to an undesired delay that affects the network Quality of Service (QoS). CP-SDN consists of a cooperation technique between neighboring controllers that aims to relieve the congested centers and redirect the extra flow through neighbors. CP-SDN processing keeps controller databases updated and assures the optimized path for the extra flow when network congestion occurs. The performed simulations on calculating the e-Mbb and M-iOT delay performances for various probability densities show that CP-SDN brings more reliability and efficiency in reducing the transmission delay and overcome the existing SDN scheme. This makes it a prime candidate for the evolved high scalable 5G networks.

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Section: B Switching In Sdnmentioning

confidence: 99%

Section: Cp-sdn Controlmentioning

confidence: 99%

CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS

Djeldjeli¹,

Zoubir

2021

Eng. Technol. Appl. Sci. Res.

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An architecture to improve performance of software-defined optical networks

Chakraborty,

Turuk,

Sahoo

2024

Optical Switching and Networking

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BPNN‐based flow classification and admission control for software defined IIoT

Wang,

Xue,

Huan

2024

IET Communications

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Flow admission control (FAC) aims to efficiently manage the service requests while maximizing the network utilization. With multiple connection requests, access delay or even service interruption may occur. This paper proposes a novel FAC approach to reduce the contention between the end nodes and ensure high utilization of the networking resources for software defined IIoT. First, incoming flows are classified into different priorities using back propagation neural network based on selected features representing the current network status. Second, with the designed flow admission policies, bandwidth and buffer size are estimated with stochastic network calculus model. Finally, the thresholds of the proposed FAC scheme are dynamically decided based on the above two parameters. Various flows are admitted or rejected via the proposed FAC to maintain real time processing. Unlike traditional FAC schemes rely on static priority systems, the proposed scheme leverages machine learning technique for dynamic flow prioritization and the stochastic network calculus model for precise estimation. Computer simulation reveals that the proposed scheme accurately classifies the flows, and substantially decreases the transmission delay and improves the network utilization compared to the existing FAC schemes. This highlights the superiority of the proposed scheme meeting the demands of software defined IIoT.

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PopFlow: a novel flow management scheme for SDN switch of multiple flow tables based on flow popularity

Cited by 3 publications

References 15 publications

CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS

CP-SDN: A New Approach for the Control Operation of 5G Mobile Networks to Improve QoS

An architecture to improve performance of software-defined optical networks

BPNN‐based flow classification and admission control for software defined IIoT

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