Performance Comparison of Software Defined Networking Simulators for Tactical Network: Mininet vs. OPNET

Lee, Seungwoon; Ali, Jehad; Roh, Byeong‐hee

doi:10.1109/iccnc.2019.8685572

Cited by 15 publications

(5 citation statements)

References 10 publications

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“…It functions with many SDN tools and open-source SDN projects and completely supports the OpenFlow protocol. Due to this benefit, most SDN research uses Mininet [40].…”

Section: Resultsmentioning

confidence: 99%

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Hamad,

Yalda,

ÈšÄƒpuÈ™

2023

JOIV : Int. J. Inform. Visualization

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The quality of service is not the same in all parts of the network. Some areas experience a low level and others a higher level of fixed quality services. The shortcomings in legacy networks encouraged researchers to find a new paradigm of the network to obviate legacy networks' deficiencies. The effort to create network services is called Quality of Service (QoS). Software-Defined Networking (SDN) focuses on separating the control layer from the data layer, and their communication is done through a central controller named SDN controller. After separation, the data layer moves the packets through the network according to the commands it receives from the controller. The controller obtains applications (QoS requests), translates them to low-level instructions, and implements them in the data layer. In this paper, we create an infrastructure for Quality of Service (QoS) in tree topology using a meter table per flow in Software Defined Networking Floodlight open-source controller. Meters are introduced into the OpenFlow protocol version 1.3, which calculates the packet rates allocated to them and allows control of those packet rates. Meters are directly connected to flow entry. Any flow entry can determine a meter in its command collection, which calculates and supervises the sum of all flow entries to which it is connected. When we get statistics from the meter table in each switch, we manage the network and affect the routing algorithms.

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“…It functions with many SDN tools and open-source SDN projects and completely supports the OpenFlow protocol. Due to this benefit, most SDN research uses Mininet [40].…”

Section: Resultsmentioning

confidence: 99%

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Hamad,

Yalda,

ÈšÄƒpuÈ™

2023

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

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“…In a personal computer, create a network and develop the services can be done by the users [26]. It uses the virtualization of OS-levels to provide rapid simulation speeds and scalability strengths; the OpenFlow protocol is wholly supported and works with open-sourced SDN projects [27]. Mininet is simpler to use than any other simulation environment, and is also open source [28].…”

Section: Mininetmentioning

confidence: 99%

Design and implementation of a secured SDN system based on hybrid encrypted algorithms

Ghaly

Abdullah

2021

TELKOMNIKA

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Software defined network suggests centralizing network knowledge in one network portion by separating the routing (control plane) mechanism from the transmission network packet operation (data plane). The control plane is composed of one, two or more controllers which are considered as softwaredefined networking (SDN) network brain where the real intelligence is incorporated. The process of separating the control unit from the data unit led to a problem related to poor security of data sent in the network, so solutions to these problems had to be found. In this paper, address this problem by implementing robust algorithms to encrypt information, based on advanced encryption standard (AES), Rivest-Shamir-Adleman (RSA), and hybrid encryption algorithms to guarantee data protection and authenticity. The results showed that the hybrid coding method is better in terms of security and improved time (faster than RSA alone) by applying several scenarios in the SDN network to a set of encrypted files.

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“…We install the SDN environment using virtualization install Ubuntu 18.04 which is one of newest Ubuntu version to implement SDN scenarios [25]. Mininet has been used for implementing the research in SDN and OpenFlow [26]. We can run unmodified code on virtual hardware on a simple PC using Mininet to simulate the SDN and make a centralized network with centralized controller which can use both command line and API [27].…”

Section: 1testbed Descriptionmentioning

confidence: 99%

Adaptive Software-defined Network Controller for Multipath Routing based on Reduction of Time

Kakahama

Taha

2020

UHD J SCI TECH

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Software-defined network (SDN) is a new paradigm in the networking that makes a programmability and intelligence the networks. The main SDN characterize is separating network management (control plane) from the forwarding device (data plane). SDN logically centralizes the network with the programmable controller which collects global knowledge about the network. The SDNs can improve the performance of the routing packets in the networks because of agility and the ability to create a policy for a driven network. In the multipath routing, the SDNs controller is responsible to calculate the routes of optimum path and alternative path wherever a link is failed. However, a high delay time calculation of selecting optimum and alternative paths in multipath routing by the SDN controller is observed in the recent investigations. In this paper, we propose an efficient algorithm for SDN multipath routing controller. The mechanism of the proposed approach calculates the best path from the source to the destination which is based on using adaptive packet size and observing network link capacity. The proposed algorithm considers reducing delay time of the link handling when the flow traffic switches from the main path to the recovery path. As a result, this approach is compared to some state of the arts according to the delay time of choosing the best path and alternative paths in a given network topology. SDN based on the proposed algorithm consumed approximately 1 ms for selecting recovery routes. On the other hand, the proposed algorithm can be integrated to an SDN controller which provides better consolidation of transmission for sensitive applications as video streaming.

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Performance Comparison of Software Defined Networking Simulators for Tactical Network: Mininet vs. OPNET

Cited by 15 publications

References 10 publications

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Performance Assessment of QoS metrics in Software Defined Networking using Floodlight Controller

Design and implementation of a secured SDN system based on hybrid encrypted algorithms

Adaptive Software-defined Network Controller for Multipath Routing based on Reduction of Time

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