An Efficient Dynamic Load Balancing Scheme Based on Nash Bargaining in SDN

Li, Guoyan; Li, Kaixin; Liu, Yi; Pan, Yue

doi:10.3390/fi11120252

Cited by 7 publications

(2 citation statements)

References 26 publications

(32 reference statements)

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“…Experimental findings demonstrate that the proposed method gives away tasks equally between devices and shows an average reduction turnaround time and average waiting time and increased performance processing. In this paper Li et al [25] developed the Nash game bargaining method to reasonably enhance the two conflicting objectives of migration costs and load balance. An enhanced firefly technique is used to overcome the problem, and the optimum network configuration status is achieved.…”

Section: Related Researchmentioning

confidence: 99%

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

et al. 2021

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Since the worldwide Internet of Things (IoT) in smart cities is becoming increasingly popular among consumers and the business community, network traffic management is a crucial issue for optimizing the IoT ’s performance in smart cities. Multiple controllers on a immense scale implement in Software Defined Networks (SDN) in integration with Internet of Things (IoT) as an emerging paradigm enhances the scalability, security, privacy, and flexibility of the centralized control plane for smart city applications. The distributed multiple controller implementation model in SDN-IoT cannot conform to the dramatic developments in network traffic which results in a load disparity between controllers, leading to higher packet drop rate, high response time, and other problems with network performance deterioration. This paper lays the foundation on the multiple distributed controller load balancing (MDCLB) algorithm on an immense-scale SDN-IoT for smart cities. A smart city is a residential street that uses information and communication technology (ICT) and the Internet of Things (IoT) to improve its citizens’ quality of living. Researchers then propose the algorithm on the unbalancing of the load using the multiple controllers based on the parameter CPU Utilization in centralized control plane. The experimental results analysis is performed on the emulator named as mininet and validated the results in ryu controller over dynamic load balancing based on Nash bargaining, efficient switch migration load balancing algorithm, efficiency aware load balancing algorithm, and proposed algorithm (MDCLB) algorithm are executed and analyzed based on the parameter CPU Utilization which ensures that the Utilization of CPU with load balancing is 20% better than the Utilization of CPU without load balancing.

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Section: Related Researchmentioning

confidence: 99%

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

et al. 2021

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“…where f 1 and f 2 are the payoff functions of the players in the game and d 1 and d 2 are their respective worst possible payoffs. Nash proved that the solution that maximizes the Nash volume under the four axioms is the equilibrium solution of this problem [26].…”

Section: Bargaining Modelmentioning

confidence: 99%

A Cross-Domain Service Function Chain Deployment Scheme Based on Bargaining Game

Ren

Liu

2021

Mathematical Problems in Engineering

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Software-defined networking (SDN) and network function virtualization (NFV) technologies provide support for service function chain (SFC) deployment. As the scale of a network expands, SDN domains are maintained and managed by their respective network operators. When deploying an SFC in multiple domains, to protect the privacy of each domain is challenging. We propose a cross-domain SFC deployment scheme based on a bargaining game. We establish an effective cross-domain service chain system model and combine resource consumption cost and load balance to translate SFC deployment to an optimization problem. A bargaining game model is established so as to reasonably optimize these contradictory parameters. We solve the model by an improved imperialist competition algorithm and obtain the optimal node mapping relationship. Experimental results show that our method performs better than the current one in terms of network load balancing and mapping overhead and has better scalability.

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The DAG blockchain: A secure edge assisted honeypot for attack detection and multi-controller based load balancing in SDN 5G

Abdulqadder

Zou

Aziz

2023

Future Generation Computer Systems

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An Efficient Dynamic Load Balancing Scheme Based on Nash Bargaining in SDN

Cited by 7 publications

References 26 publications

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

Load Balancing Algorithm on the Immense Scale of Internet of Things in SDN for Smart Cities

A Cross-Domain Service Function Chain Deployment Scheme Based on Bargaining Game

The DAG blockchain: A secure edge assisted honeypot for attack detection and multi-controller based load balancing in SDN 5G

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