Mininet Simulator

Mininet simulator’s modules, programming languages, and subjects with a detailed explanation we offer you best project guidance. Mininet is a robust tool which is employed for several purposes in an extensive manner. By highlighting the Mininet simulator, we list out its important modules and commonly used programming languages. Along with in-depth descriptions, some interesting topics are recommended by us:

Mininet Modules

Numerous important modules are encompassed in Mininet. In order to simulate intricate network platforms, these modules function in a combined way.  Some of the potential modules are:

  • Hosts: In Mininet, virtual hosts are lightweight and are also not a complete virtual machine. Basically, they are considered as network namespaces in Linux. Standard network applications can be executed by these modules.
  • Switches: Different kinds of switches are enabled by Mininet, such as Open vSwitch (OVS). It is generally referred to as a production-quality, multilayer virtual switch. For balance, legacy switches and user-mode Linux switches are facilitated by Mininet.
  • Controllers: To handle the network’s flow control in a dynamic manner, it is possible to combine SDN controllers using Mininet. For several controllers, Mininet is highly suitable. It could involve OpenFlow controllers such as Ryu, Floodlight, and POX.
  • Links: The network elements are specifically combined through Virtual Ethernet cable links. Simulation of various network states is supported by these links, which are capable of having various features such as max queue size, loss, bandwidth limits, and delay.
  • Topologies: The connection of hosts, controllers, and switches is generally specified by network topologies. Predefined topologies such as minimal, linear, and tree are encompassed in Mininet. Development of unique topologies is also supported by this simulator.

Programming Languages

  • Python: For the Mininet simulator, Python is considered as the fundamental programming language. Python is commonly utilized for writing Mininet scripts. Network topologies can be developed and handled effectively through Mininet. For quick modeling of network arrangements and experiments, Python is more appropriate because of its legibility and clarity.

Topics Involved

For a vast array of networking topics, Mininet is highly ideal due to its adaptability. Focus on the following major topics:

  • Software-Defined Networking (SDN): For SDN exploration and training, Mininet is utilized in a wide manner. By means of this simulator, users can create novel SDN algorithms, interpret SDN principles, and test with SDN applications and controllers.
  • Network Function Virtualization (NFV): On emulated hosts across the network, Mininet can execute virtualized network functions (VNFs) to investigate NFV principles, even though it concentrates on network emulation substantially.
  • Computer Network Education: For educating computer networking, Mininet is considered as an ideal tool. Regarding innovative networking subjects such as SDN, students can obtain realistic experience with the aid of this simulator. They can also interpret the activity of various network protocols and test with network topologies.
  • Network Protocols and Algorithms: In a controlled, replicable platform, the functionality of routing algorithms (such as BGP, OSPF) and network protocols (like HTTP, UDP, and TCP) can be examined and assessed through Mininet.
  • Performance Assessment: To analyze functionality challenges like packet loss, latency, and bandwidth barriers, the simulation of networks is supported by Mininet, especially across different conditions. This simulator allows developers and scholars to assess QoS techniques, examine the flow of traffic, and test network services and applications.
  • Security Studies: For cybersecurity exploration and training, a secure platform is offered by Mininet. In a virtual network, we intend to examine intrusion detection systems and simulate various network assaults (such as ARP spoofing, DDoS) with the support of this simulator.

How can I run multiple SDN controllers Floodlight Ryu ODL etc for a topology in Mininet

For a single topology, several SDN controllers such as OpenDaylight (ODL), Ryu, and Floodlight can be executed in Mininet. To compare their functionality, test with load balancing and controller redundancy, or examine compatibility, this execution could be an ideal technique. In order to accomplish this setting, we provide a common procedure explicitly:

Step 1: Install Mininet and Controllers

On your system, you should install Mininet initially, and assuring this aspect is important. The determined SDN controllers (such as OpenDaylight, Ryu, Floodlight, and others) have to be installed. If you choose isolation, install them in containers or VMs. If not, install them on your machine in a direct manner. Availability and setup of every controller must be assured.

Step 2: Arrange Each Controller

In order to function in a multi-controller setting, a particular configuration could be needed for each controller. To prevent challenges, various ports have to be allocated for the controllers. A specific IP address and port integration should be represented in each controller.

Step 3: Develop a Custom Mininet Topology Script

By reflecting the connection among switches and controllers, a unique topology script has to be developed for Mininet with the aid of Python. As a means to link various switches to various controllers, consider creating a topology script through this basic instance:

from mininet.net import Mininet

from mininet.node import Controller, RemoteController

from mininet.cli import CLI

from mininet.log import setLogLevel

def multiControllerNet():

“Create a network with multiple controllers.”

net = Mininet(controller=RemoteController)

# Add controllers

c0 = net.addController(‘c0′, controller=RemoteController, ip=’IP_of_Floodlight’, port=6633)

c1 = net.addController(‘c1′, controller=RemoteController, ip=’IP_of_Ryu’, port=6633)

c2 = net.addController(‘c2′, controller=RemoteController, ip=’IP_of_ODL’, port=6633)

# Add switches and hosts

s1 = net.addSwitch(‘s1’)

s2 = net.addSwitch(‘s2’)

s3 = net.addSwitch(‘s3’)

h1 = net.addHost(‘h1’)

h2 = net.addHost(‘h2′)

# Connect hosts to switches

net.addLink(h1, s1)

net.addLink(h2, s2)

# Connect switches to each other

net.addLink(s1, s2)

It is important to use the true IP addresses of your controllers instead of ‘’IP_of_Floodlight’, ‘IP_of_Ryu’, and ‘IP_of_ODL’. The default OpenFlow port is specified as 6633. Focus on altering them if your controllers utilize diverse ports.

Step 4: Execute Your Mininet Script

Plan to implement the script after preparing your topology script and operating your controllers:

sudo python your_topology_script.py

Step 5: Testing and Experimentation

Across every controller, examine the activity, connectivity, and functionality with the support of Mininet’s CLI after the network is active. It is possible to test with various SDN applications, failover contexts, and controller characteristics using this setting.

Suitable for Mininet simulator, we suggested programming languages, several major modules, and topics along with thorough descriptions. To execute numerous SDN controllers for a single topology in Mininet, a typical procedure is offered by us in a clear manner.

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