SDN Simulation Tools

To develop virtual network platforms for evaluation and investigation, simulation or emulation tools are the major necessities for study in Software-Defined Networking (SDN). We are proficient in utilizing various SDN Simulation Tools and are prepared to engage in a discussion regarding your concept. Once we receive your acknowledgement, we will proceed to the subsequent stage, allowing you to collaborate with us without any hesitation. For best SDN simulation assistance phdservices.org is your trusted partner. We provide a collection of prominent SDN simulation tools to consider:

  1. Mininet
  • Explanation: Mininet is examined as a lightweight network emulator. It contains the capability to develop complicated virtual networks.
  • Major Characteristics:
  • This emulator is assistive for OpenFlow protocols and external controllers such as OpenDaylight, Ryu, POX.
  • Through the utilization of Python, it facilitates pre-built topologies or custom topology scripts.
  • For actual-time network control and testing, it provides CLI.
  • Application Areas:
  • In examining SDN applications, it is utilized.
  • Mininet is employed in testing with network strategies and routing.
  • Installation:

sudo apt-get install mininet

  1. ns-3
  • Explanation: NS-3 is helpful for SDN protocols and is examined as a discrete-event network simulator.
  • Major Characteristics:
  • For combining external controllers like POX, Ryu, it offers the OpenFlow module.
  • NS-3 supports the combination with external stacks such as Linux.
  • Protocols: MPLS, Wi-Fi, OpenFlow, LTE, IP, etc.
  • Application Areas:
  • NS-3 is used in extensive network simulations.
  • It is utilized in study on network effectiveness and protocols.
  • Installation:

git clone https://gitlab.com/nsnam/ns-3-dev.git

cd ns-3-dev

./waf configure && ./waf build

  1. EstiNet
  • Explanation: Generally, EstiNet is described as a commercial-grade SDN network simulator and emulator.
  • Major Characteristics:
  • It assists numerous OpenFlow controllers such as Ryu, OpenDaylight, Floodlight.
  • EstiNet facilitates hybrid simulation and emulation modes.
  • Mainly, for topology development and traffic exploration, it offers GUI.
  • Application Areas:
  • For study on complicated SDN structures and protocols, EstiNet is employed.
  • It is used in Industry-grade SDN evaluation.
  • Website: EstiNet
  1. GNS3
  • Explanation: GNS3 is a graphical network simulator and emulator.
  • Major Characteristics:
  • For external SDN controllers, it is assistive.
  • Cisco and Juniper routers and switches can be emulated by GNS3.
  • Specifically, for visual network topology structure, it provides GUI.
  • Application Areas:
  • GNS3 is utilized in actual-world network simulation and emulation.
  • It supports incorporation along with QEMU, VirtualBox, and Docker.
  • Installation:

sudo add-apt-repository ppa:gns3/ppa

sudo apt-get update

sudo apt-get install gns3-gui gns3-server

  1. ONOS Simulator
  • Explanation: For ONOS SDN controller, it is a network simulator.
  • Major Characteristics:
  • It facilitates the simulation of extensive network topologies.
  • ONOS is helpful for OpenFlow and P4 protocols.
  • For external application combinations, it offers REST API.
  • Application Areas:
  • ONOS is employed in the study of ONOS-related network applications.
  • On examining ONOS SDN applications and network strategies, it is used.
  • Website: ONOS
  1. Containernet
  • Explanation: Containernet is an extension of Mininet and it has the capability to append assistance for Docker containers.
  • Major Characteristics:
  • In Mininet, employ Docker containers as hosts.
  • Containernet is helpful for OpenFlow controllers such as OpenDaylight, POX, and Ryu.
  • It facilitates resource segregation and custom platforms.
  • Application Areas:
  • Containernet is utilized when conducting study on SDN-related cloud-native applications.
  • In emulation of complicated multi-cloud structures, it is employed.
  • Installation:

git clone https://github.com/containernet/containernet.git

cd containernet

sudo ./install.sh

  1. CORE (Common Open Research Emulator)
  • Explanation: For wired and wireless networks, CORE is determined as a lightweight network emulator.
  • Major Characteristics:
  • It assists OpenFlow and external SDN controllers.
  • It provides wireless networking abilities such as 802.11, LTE.
  • For custom topology development, CORE offers Python API.
  • Application Areas:
  • While performing study on SDN-based mobile and wireless networks, it is used.
  • CORE is utilized in examining network protocols in actual-time.
  • Installation:

sudo apt-get install core

  1. EmuNet
  • Explanation: Generally, EmuNet is determined as an SDN network emulation environment.
  • Major Characteristics:
  • It supports the combination with Mininet and external controllers.
  • For network arrangement, it provides REST API.
  • EmuNet offers traffic tracking and analysis tools.
  • Application Areas:
  • In emulating extensive network platforms, it is employed.
  • EmuNet is used when carrying out study on SDN-related traffic exploration.
  1. OFNet
  • Explanation: For extensive network study, OFNet is an SDN network emulator.
  • Major Characteristics:
  • It facilitates OpenFlow controllers such as Floodlight, ONOS, and OpenDaylight.
  • For network arrangement, it offers REST API.
  • OFNet provides traffic generation and performance tracking tools.
  • Application Areas:
  • It is utilized in emulating cloud-scale data center networks.
  • While performing study on SDN-based traffic engineering, OFNet is employed.
  • Website: OFNet

Summary Table

Simulator/Emulator

Best Use Case

OpenFlow Support

GUI

Mininet

Network prototyping and SDN testing

Yes

No

ns-3

Protocol simulation and SDN integration

Yes

No

EstiNet

Commercial-grade network research

Yes

Yes

GNS3

Real-world network emulation

Limited

Yes

ONOS Simulator

Research on ONOS applications

Yes

No

Containernet

SDN and Docker-based cloud-native applications

Yes

No

CORE

Wireless network emulation

Yes

Yes

EmuNet

SDN traffic analysis

Yes

No

OFNet

Large-scale network emulation

Yes

No

Selecting the Right Tool

  • Beginners: Specifically, for a simpler arrangement and learning curve, begin with CORE or Mininet.
  • Advanced Research: For more extensive SDN experimentations, examine EstiNet or NS-3.
  • Real-World Emulation: It is beneficial to utilize OFNet, Containernet, or GNS3.

What are some open source tools for SDN software defined networking development testing and deployment?

There are numerous open source tools appropriate and efficient for SDN creation testing and implementation. Encompassing controllers, emulators, testing, and implementation models, the following is a classified collection of these tools:

  1. Controllers
  2. OpenDaylight (ODL)
  • Language: Java
  • Major Characteristics:
  • It supports a modular controller environment with MD-SAL structure.
  • ODL provides northbound REST APIs.
  • Protocols: BGP, NETCONF/YANG, OpenFlow, PCEP.
  • Link: OpenDaylight
  1. ONOS (Open Network Operating System)
  • Language: Java
  • Major Characteristics:
  • For extreme accessibility, it contributes a distributed control plane.
  • It assists for P4, OpenFlow, NETCONF.
  • ONOS facilitates intent-related networking.
  • Link: ONOS
  1. Ryu
  • Language: Python
  • Major Characteristics:
  • Specifically, for application combinations, Ryu offers REST API.
  • It facilitates extensive OpenFlow 1.0 – 1.5.
  • Protocols: BGP, LACP, OpenFlow, NETCONF.
  • Link: Ryu
  1. POX
  • Language: Python
  • Major Characteristics:
  • For academic usages, it provides a simplified controller.
  • Protocols: OpenFlow 1.0.
  • Example applications: firewall, L2 switch.
  • Link: POX
  1. Floodlight
  • Language: Java
  • Major Characteristics:
  • By means of REST API, it facilitates OpenFlow.
  • It supports a web-based user interface.
  • Protocols: OpenFlow 1.0 – 1.3.
  • Link: Floodlight
  1. Trema
  • Language: C, Ruby
  • Major Characteristics:
  • For OpenFlow controllers, Trema offers a development model.
  • It assists for OpenFlow 1.0.
  • Link: Trema
  1. P4Runtime
  • Language: Python, C++
  • Major Characteristics:
  • For regulating programmable data planes, it provides an API model.
  • It facilitates combination with P4-based software targets and switches.
  • Link: P4Runtime
  1. Emulators and Simulators
  2. Mininet
  • Language: Python
  • Major Characteristics:
  • On a single machine, Mininet develops virtual SDN networks.
  • For network control, it offers CLI and Python API.
  • Mininet supports in combination with external controllers such as Ryu, ODL, ONOS.
  • Link: Mininet
  1. ns-3
  • Language: Python, C++
  • Major Characteristics:
  • NS-3 is determined as a discrete-event network simulator.
  • Through the openflow-switch module, it assists OpenFlow.
  • Link: ns-3
  1. GNS3
  • Language: Python
  • Major Characteristics:
  • GNS3 is a graphical network emulator along with switch and router assistance.
  • It supports combination with SDN controllers and Mininet.
  • For virtual hosts, it facilitates VirtualBox/QEMU combination.
  • Link: GNS3
  1. CORE (Common Open Research Emulator)
  • Language: Python
  • Major Characteristics:
  • For wired/wireless networks, CORE is a lightweight emulator.
  • Through OpenFlow and external controllers, assist SDN.
  • Link: CORE
  1. Containernet
  • Language: Python
  • Major Characteristics:
  • Containernet is the extension of Mininet and assists Docker containers.
  • It contains the ability to integrate containers and virtual switches.
  • For external SDN controllers, it is very helpful.
  • Link: Containernet
  1. OFNet
  • Language: Python
  • Major Characteristics:
  • For extensive evaluation, OFNet is an SDN network emulator.
  • It provides traffic tracking and analysis tools.
  • Specifically, for network control, it offers REST API.
  • Link: OFNet
  1. Testing and Validation Tools
  2. sFlow-RT
  • Language: Java
  • Major Characteristics:
  • By employing sFlow data, it supports actual-time traffic analytics.
  • For traffic tracking and control, sFlow-RT provides REST API.
  • It facilitates OpenFlow rule-based traffic control.
  • Link: sFlow-RT
  1. OFT (OpenFlow Testing Framework)
  • Language: Python
  • Major Characteristics:
  • Generally, OFT is OpenFlow conformance testing framework.
  • For verifying switch adherence, it offers a test suite.
  • Link: OFT
  1. OFSN (OpenFlow Switch Specification Suite)
  • Language: Python
  • Major Characteristics:
  • OFSN facilitates OpenFlow switch characteristics and adherence examining.
  • Link: OFSN
  1. Traffic Generator Tools
  • iperf: It is a tool for network performance assessment.
  • Link: iperf
  • D-ITG: Distributed Internet Traffic Generator.
  • Link: D-ITG
  • Ostinato: This tool is examined as a packet generator and analyzer.
  • Link: Ostinato
  1. Deployment and Management Tools
  2. Ansible
  • Language: Python, YAML
  • Major Characteristics:
  • It contains the ability to computerize SDN controllers and switch arrangement.
  • It supports inventory-related implementation with playbooks.
  • Link: Ansible
  1. OpenStack Networking (Neutron)
  • Language: Python
  • Major Characteristics:
  • For OpenStack cloud networks, it provides support for SDN combinations.
  • It facilitates ODL, ONOS, and other SDN controllers.
  • Link: Neutron
  1. Kubernetes Networking
  • Language: Go
  • Major Characteristics:
  • It facilitates SDN-related container networking such as Flannel, Calico.
  • Typically, network strategies and access control are offered.
  • Link: Kubernetes Networking

Summary Table

Tool

Category

Purpose

Language

OpenDaylight

Controller

Modular SDN controller platform

Java

ONOS

Controller

Distributed control plane for SDN

Java

Ryu

Controller

Python-based SDN controller

Python

POX

Controller

Educational SDN controller

Python

Floodlight

Controller

OpenFlow controller with REST API

Java

Mininet

Emulator

Lightweight SDN network emulator

Python

ns-3

Simulator

Discrete-event network simulator

C++, Python

GNS3

Emulator

Graphical network emulator

Python

Containernet

Emulator

Mininet extension with Docker containers

Python

CORE

Emulator

Wired/wireless network emulator

Python

OFNet

Emulator

SDN emulator for large-scale testing

Python

sFlow-RT

Traffic Analysis

Real-time traffic analytics with sFlow

Java

OFT

Testing

OpenFlow conformance testing framework

Python

Ansible

Deployment

Automation for SDN controller deployment

Python, YAML

OpenStack Neutron

Deployment

SDN integration for OpenStack cloud networks

Python

SDN Simulation Tools Ideas

SDN Simulation Tools for Research

Below, we present SDN Projects that highlight moral ideas and concepts within the realm of SDN. Our aim is to leave a lasting impression on all readers with our innovative ideas and thought-provoking topics. To further enhance your research, we offer tailored SDN Simulation Tools and comprehensive implementation support. By availing our services, you can increase attention and make significant strides in your research endeavors.

  1. AuthFlow: authentication and access control mechanism for software defined networking
  2. Intelligent routing based on reinforcement learning for software-defined networking
  3. Performance evaluation of OpenFlow-based software-defined networks based on queueing model
  4. The controller placement problem in software defined networking: A survey
  5. Using software-defined networking for ransomware mitigation: the case of cryptowall
  6. Software defined networking enabled wireless network virtualization: Challenges and solutions
  7. Analysis of realizing a future industrial network by means of Software-Defined Networking (SDN)
  8. FlowRanger: A request prioritizing algorithm for controller DoS attacks in Software Defined Networks
  9. A DDoS attack detection method based on SVM in software defined network
  10. A topical review on machine learning, software defined networking, internet of things applications: Research limitations and challenges
  11. Sdn rootkits: Subverting network operating systems of software-defined networks
  12. A deep learning based DDoS detection system in software-defined networking (SDN)
  13. A GRU deep learning system against attacks in software defined networks
  14. A systematic review of quality of services (QoS) in software defined networking (SDN)
  15. Complementing IoT services through software defined networking and edge computing: A comprehensive survey
  16. Consistent updates in software defined networks: On dependencies, loop freedom, and blackholes
  17. A survey and classification of the security anomaly detection mechanisms in software defined networks
  18. Improving internet of things (IoT) security with software-defined networking (SDN)
  19. A systematic review of load balancing techniques in software-defined networking
  20. Experimenting with scalability of floodlight controller in software defined networks

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