Comparing a Scalable SDN Simulation Framework Built on ns-3 and DCE with Existing SDN Simulators and Emulators

Ivey, Jared S.; Yang, Hemin; Zhang, Chuanji; Riley, George F.

doi:10.1145/2901378.2901391

Cited by 15 publications

(7 citation statements)

References 11 publications

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“…We have deployed the NS-3 simulation environment [35,36] with the existing strategies to compare the results. The network environment is hosted on H.P.…”

Section: Simulation Environmentmentioning

confidence: 99%

Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

Ahmad¹,

Jamil²,

Ali³

et al. 2022

Computers, Materials &Amp; Continua

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The concept of Software-Defined Networking (SDN) evolves to overcome the drawbacks of the traditional networks with Internet Protocol (I.P.) packets sending and packets handling. The SDN structure is one of the critical advantages of efficiently separating the data plane from the control plane to manage the network configurations and network management. Whenever there are multiple sending devices inside the SDN network, the OpenFlow switches are programmed to handle the limited number of requests for their interface. When the recommendations are exceeded from the specific threshold, the load on the switches also increases. This research article introduces a new approach named LBoBS to handle load balancing by adding the load balancing server to the SDN network. Besides, it is used to maximize SDN's reliability and efficiency. It also works in coordination with the controller to effectively handle the load balancing policies. The load balancing server is implemented to manage the switches load effectively. Results are evaluated on the NS-3 simulator for packet delivery, bandwidth utilization, latency control, and packet decision ratios on the OpenFlow switches. It has been found that the proposed method improved SDN's load balancing by 70% compared to the previous state-of-the-art methods.

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“…We have deployed the NS-3 simulation environment [35,36] with the existing strategies to compare the results. The network environment is hosted on H.P.…”

Section: Simulation Environmentmentioning

confidence: 99%

Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

Ahmad¹,

Jamil²,

Ali³

et al. 2022

Computers, Materials &Amp; Continua

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“…A limitation of mininet is that it runs in realtime as an emulator and hence does not scale to large systems. Network simulators such as ns-3 [9,26] simulate the full network stack behaviour. Both of these approaches are costly in terms of initial set-up and have steep learning curves.…”

Section: Related Workmentioning

confidence: 99%

“…Traditionally, network modelling has been done by emulation on virtual machines using a tool called mininet [29] or simulation using a tool such as ns-3 [9,26]. Both of these approaches consider the full network stack, which can be very expensive in terms of initial setup, as well as computational resources to execute.…”

Section: Introductionmentioning

confidence: 99%

Formal Modelling of Software Defined Networking

Galpin

2018

Lecture Notes in Computer Science

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This paper investigates the application of CARMA, a recently developed quantitative process-algebra-based modelling language, to the stochastic modelling of software defined networking (SDN). In SDN, a single controller (or hierarchy of controllers) determines the behaviour of the switches that forward traffic through the network, and it is used in a variety of settings including cloud and data centres. This research is the initial phase of developing a methodology for agile formal modelling of performance and security aspects of SDN, and focusses on the fat-tree network topology. The results demonstrate that the CARMA language and its software tools which include the MultiVeStA statistical model checker provide a good basis for modelling SDN.

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“…In an attempt to blur the boundaries between simulation and deployment, the framework on a basis of ns-3 has been proposed to allow running the controller software within the simulation environment [22]. With an accent on rapid standards refinement, an attempt has also been made to adopt the support of relatively novel OpenFlow 1.3 standard features, e. g., the support of multiple auxiliary TCP/UDP connections (to decrease jittering, packet loss), in a simulation environment within the OFSWITCH13 framework [23].…”

Section: Introductionmentioning

confidence: 99%

Development of stratified approach to software defined networks simulation

Shkarupylo

Skrupsky

Oliinyk

et al. 2017

EEJET

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Запропоновано стратифікований підхід до імітаційного моделювання програмно-конфі-гурованих мереж. Запропоновано імітаційні моделі мережі, активних і пасивних компо-нентів -контролера, комутатора, хоста та комунікаційних каналів. Придатність підхо-ду до цільового використання підтверджено шляхом співставлення одержаних результа-тів імітаційного моделювання із результата-ми емуляції мережі у середовищі Mininet Ключові слова: програмно-конфігурована мережа, імітаційне моделювання, дискрет-но-подійна специфікація системи, великі дані Предложен стратифицированный подход к имитационному моделированию программно-конфигурируемых сетей. Предложены ими-тационные модели сети, активных и пассив-ных компонентов -контроллера, коммута-тора, хоста и коммуникационных каналов. Пригодность подхода к целевому использо-ванию подтверждена путем сопоставления полученных результатов имитационного мо-делирования с результатами эмулирования сети в среде Mininet Ключевые слова: программно-конфигури-руемая сеть, имитационное моделирование, дискретно-событийная спецификация систе-мы, большие данные UDC 004.75 : 004.94

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Comparing a Scalable SDN Simulation Framework Built on ns-3 and DCE with Existing SDN Simulators and Emulators

Cited by 15 publications

References 11 publications

Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

Formal Modelling of Software Defined Networking

Development of stratified approach to software defined networks simulation

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