On-Demand Dynamic Controller Placement in Software Defined Satellite-Terrestrial Networking

Han, Zhenzhen; Xu, Chuan; Xiong, Zhengying; Zhao, Guofeng; Yu, Shui

doi:10.1109/tnsm.2021.3061261

Cited by 18 publications

(6 citation statements)

References 33 publications

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“…In order to reduce the complexity of the simulation model, we simplify the number of users and satellites by referring to the literatures [13], [28]. The reason for this is that for the number of satellites, any large-scale constellation can be logically divided into several small satellite networks [42], [43]. We assume S = 5 and model a small-scale satellite sub-network in this paper.…”

Section: A Simulation Setupmentioning

confidence: 99%

Satellite Edge Computing With Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach

Zhang

Liu

Kaushik

et al. 2023

IEEE Internet Things J.

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Section: A Simulation Setupmentioning

confidence: 99%

Satellite Edge Computing With Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach

Zhang

Liu

Kaushik

et al. 2023

IEEE Internet Things J.

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“…• Maximum delay between switch and controller: the maximum communication delay between satellite switch and master/super controller is calculated by using Equation (23).…”

Section: Experimental Environment and Evaluation Metricsmentioning

confidence: 99%

“…A novel on‐demand dynamic controller placement scheme is proposed to meet the terminal coverage demands in Reference 23. Here, the coverage redundancy is defined to dynamically adjust the satellite subnet.…”

Section: Related Workmentioning

confidence: 99%

Distributed and multi‐layer hierarchical controller placement in software‐defined satellite‐terrestrial network

Xu,

Wang,

Fang

et al. 2023

Trans Emerging Tel Tech

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Aiming at the controller placement in software‐defined satellite‐terrestrial network, a distributed and multilayer hierarchical controller placement mechanism is proposed to improve the reliability and scalability. First, the metrics of network reliability, maintenance cost and usage cost are defined to establish the controller placement optimization model for the software‐defined satellite‐terrestrial network. Then, a distributed and hierarchical control structure composed of super controller, master controller, and slave controller is presented to enhance the scalability. Furthermore, according to the latitude variation of the LEO satellites, a time‐slot division method is proposed to staticize the network control topology. It reduces control link handover and enhances the stability of control links. In addition, a LEO satellite latitude based slave controller selection strategy and a shortest distance based inter layer control strategy are proposed to facilitate cost reduction and stability enhancement. Finally, extensive simulations demonstrate that the proposed control structure not only obtains high stability and scalability, but also efficiently saves the maintenance and usage cost. Besides, the impacts of service request distribution and satellite number on the control structure are analyzed.

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“…The work in [30][31][32][33][34][35] introduces mixed-integer programming formulations for the optimal placement of multi-controller switches in virtualized Open Flow-enabled SDN networks. The authors in [36][37][38][39] address the deployment of multiple controllers that work cooperatively to control a network. The authors proposed a Dynamic Controller Provisioning Problem (DCPP).…”

Section: Related Workmentioning

confidence: 99%

AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks

Ali,

Tan,

Lee

et al. 2023

Sensors

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Software-Defined Networking (SDN), which is used in Industrial Internet of Things, uses a controller as its “network brain” located at the control plane. This uniquely distinguishes it from the traditional networking paradigms because it provides a global view of the entire network. In SDN, the controller can become a single point of failure, which may cause the whole network service to be compromised. Also, data packet transmission between controllers and switches could be impaired by natural disasters, causing hardware malfunctioning or Distributed Denial of Service (DDoS) attacks. Thus, SDN controllers are vulnerable to both hardware and software failures. To overcome this single point of failure in SDN, this paper proposes an attack-aware logical link assignment (AALLA) mathematical model with the ultimate aim of restoring the SDN network by using logical link assignment from switches to the cluster (backup) controllers. We formulate the AALLA model in integer linear programming (ILP), which restores the disrupted SDN network availability by assigning the logical links to the cluster (backup) controllers. More precisely, given a set of switches that are managed by the controller(s), this model simultaneously determines the optimal cost for controllers, links, and switches.

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On-Demand Dynamic Controller Placement in Software Defined Satellite-Terrestrial Networking

Cited by 18 publications

References 33 publications

Satellite Edge Computing With Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach

Satellite Edge Computing With Collaborative Computation Offloading: An Intelligent Deep Deterministic Policy Gradient Approach

Distributed and multi‐layer hierarchical controller placement in software‐defined satellite‐terrestrial network

AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks

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