Controller placement problem in software‐defined networking: A survey

Kumari, Abha; Sairam, Ashok Singh

doi:10.1002/net.22016

Cited by 28 publications

(20 citation statements)

References 143 publications

(198 reference statements)

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“…Researchers focused on optimizing network and controller loads in [27][28][29]. Mostafaei H, Menth M, et al in [30] abstract the controller deployment problem as an NP-hard problem, and propose a learning automata-based heuristic with the goal of minimizing the propagation delay between switches and controllers in the network.…”

Section: In Terms Of Multi-controller Deployment Strategiesmentioning

confidence: 99%

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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The space–air–ground Integrated Network (SAGIN) is considered to be a significant framework for realizing the vision of “6G intelligent connection of all things”. The birth of 6G SAGIN also brings many problems, such as ultra-dense dense networks, leading to a decrease in the efficiency of traditional flat network management, and traditional satellite networking solidified network functions, etc. Therefore, combining the 6G SAGIN network with the software-defined network (SDN) is an excellent solution. However, the satellite network topology changes dynamically and the ground user unbalanced distribution leads to the unbalanced load of the SDN controller, which further leads to the increased communication delay and throughput drop, etc. For these problems, a hierarchical multi-controller deployment strategy of an SDN-based 6G SAGIN is proposed. Firstly, the delay model of the network, the load model of the SDN controller, and a loss value as a measure of whether the network delay and controller load are optimal are defined. Then, using the distribution relationship between the SDN controller and the switch node as the solution space, and taking the loss value as the optimization goal, a multi-controller deployment strategy based on the simulated annealing algorithm is used to search for the optimal solution space. Lastly, considering the network topology changes dynamically and the SDN controller imbalance, a switch migration strategy oriented toward load balancing is proposed. We aimed to determine the controller deployment plan through the above two points, balance the controller load, and then improve the network performance. The simulation results show that the controller load is increased by about 7.71% compared to OCLDS, and the running time is increased by 17.7% compared to n-k-means.

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Section: In Terms Of Multi-controller Deployment Strategiesmentioning

confidence: 99%

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Liao

Chen

et al. 2022

Remote Sensing

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“…In [14][15][16], the load balancing is determined by whether the specified threshold is reached for load balancing. Basically, load balancing occurs under three types of circumstances: (1) In [17][18][19], it was proposed that due to dynamic changes in network traffic, there is a need to reduce communication costs and to meet the shortage of available resources by shutting the system down and by adding some controllers; (2) in order to deploy multiple controllers to minimize the communication delay between the switch and the control plane, it is necessary to choose strategically placed controllers to optimize network performance [20][21][22]. (3) When a load imbalance occurs, the switch is migrated from an overloaded controller to an underloaded one.…”

Section: Load Balancing Problemmentioning

confidence: 99%

Multi-Controller Load Balancing Algorithm for Test Network Based on IACO

Zhu

Cao

et al. 2021

Symmetry

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With the rapid increase of volume and complexity in the projectile flight test business, it is becoming increasingly important to improve the quality of the service and efficiency of multi-domain cooperative networks. The key for these improvements is to solve the problem of asymmetric load of multi-controllers in multi-domain networks. However, due to the current reality, it is difficult to meet the demands of future tests, and there is not guarantee of subnet multi-domain test load balancing. Most recent works have used a heuristic approach to seek the optimal dynamic migration path, but they may fall into the local optimum. This paper proposes an improved ant colony algorithm (IACO) that can transform the modeling of the mapping relationship between the switch and the controller into a traveling salesman problem by combining the ant colony algorithm and artificial fish swarm algorithm. The IACO not only ensures the load balancing of multi-controllers but also improves the reliability of the cluster. The simulation results show that compared to other algorithms such as traditional ant colony algorithms and distributed decision mechanisms, this IACO achieves better load balancing, improves the average throughput of multi-controller clusters, and effectively reduces the response time of controller request events.

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“…En el trabajo de Gustavo Pereira se define a las SDN como un nuevo enfoque con "capacidad de inicializar, controlar, cambiar y gestionar el comportamiento de reenvío del tráfico de una red mediante APIs abiertas" (Pereira & Gamess, 2017). De esta forma se pretende centralizar la red desde un controlador (Kumari & Sairam, 2019;Saraswat et al, 2019) logrando conseguir redes administrables o programables y eficientes (Muro et al, 2016;Pérez & Marín, 2015). Sin embargo, pese a ser una gran novedad presentan problemas de seguridad y amenazas sobre la propia arquitectura (Krishnan et al, 2019).…”

Section: Introductionunclassified

Análisis Comparativo de Protocolos de Comunicación para Redes definidas por Software

Guacho

Pacheco²

2021

HAMU

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Las redes definidas por software (en adelante SDN) son una innovación, que tiene como principal objetivo romper el paradigma de las redes tradicionales y presentar redes administrables o programables que se basan en el desacoplamiento de los planos de control y datos. Es destacable el territorio que van ocupando las SDN, sin embargo, no existen trabajos en los que se evidencien análisis comparativos de los protocolos hacia el sur (southbound) entre los planos antes mencionados. Al ser una tecnología que ha empezado a tener acogida, es necesario realizar estudios que permitan conocer y guiar a una fácil selección de los protocolos southbound a la hora de su implementación con la finalidad de mejorar el rendimiento. El propósito del presente estudio es analizar los protocolos de comunicación southbound, para lo cual se han seleccionado a OVSDB y OpenFlow. Se usó el método experimental para medir el rendimiento de la red mediante el análisis de la tasa de transferencia de paquetes dentro de la red. Para sustentar el método experimental, se empleó un ambiente de emulación Mininet sobre la que se implementó una SDN en una topología Lineal y Simple. Se obtuvo resultados que permitieron validar la hipótesis del estudio, comprobando que el protocolo de comunicación southbound pueden inferir en el rendimiento de la red. Como resultado del análisis se logró evidenciar que OpenFlow presenta mejores resultados de rendimiento en el envío de paquetes que OVSDB.

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Controller placement problem in software‐defined networking: A survey

Cited by 28 publications

References 143 publications

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Multi-Controller Deployment in SDN-Enabled 6G Space–Air–Ground Integrated Network

Multi-Controller Load Balancing Algorithm for Test Network Based on IACO

Análisis Comparativo de Protocolos de Comunicación para Redes definidas por Software

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