NS-3 is an efficient simulation tool and it is determined as prominent SDN simulator. Explore the latest research on NS3 SDN through a comparative analysis using top papers from reputable journals this year. Don’t hesitate to collaborate with phddirection.com – we provide unique topics customized just for you! The following is a comparative analysis using NS-3. This assist you to know more about the simulation of NS-3:

Comparative Analysis Using ns-3

1. Install ns-3 and Dependencies

It is advisable to make sure that ns-3 and the OpenFlow module are installed in an accurate manner.

# Clone the ns-3 repository

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

cd ns-3-dev

# Configure and build ns-3

./waf configure –enable-examples –enable-tests

./waf build

2. Network Topology Setup in ns-3

To specify the network topology, write a simulation script in Python or C++. The following is an instance employing C++ to contrast various SDN controllers.

Example: ns-3 C++ Script (sdn_comparison.cc)

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/openflow-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

NS_LOG_COMPONENT_DEFINE (“SdnComparisonExample”);

int main (int argc, char *argv[])

{

    // Log Component

    LogComponentEnable (“SdnComparisonExample”, LOG_LEVEL_INFO);

    // Create network nodes

    NodeContainer hosts;

    NodeContainer switches;

    hosts.Create (4);

    switches.Create (2);

    // Install the Internet stack

    InternetStackHelper internet;

    internet.Install (hosts);

    // Create OpenFlow switches

    Ptr<Node> s1 = switches.Get (0);

    Ptr<Node> s2 = switches.Get (1);

    // Create OpenFlow controller

    Ptr<ofi::Controller> controller = CreateObject<ofi::Controller> ();

    ofi::SwitchHelper switchHelper;

    switchHelper.InstallSwitch (s1, controller);

    switchHelper.InstallSwitch (s2, controller);

    // Create network devices for hosts and switches

    NetDeviceContainer devices;

    PointToPointHelper p2p;

    p2p.SetDeviceAttribute (“DataRate”, StringValue (“1Gbps”));

    p2p.SetChannelAttribute (“Delay”, StringValue (“2ms”));

    // Links between hosts and switches

    for (int i = 0; i < 2; ++i)

    {

        NetDeviceContainer link1 = p2p.Install (NodeContainer (hosts.Get (i), s1));

        NetDeviceContainer link2 = p2p.Install (NodeContainer (hosts.Get (i + 2), s2));

        devices.Add (link1);

        devices.Add (link2);

    }

    // Link between switches

    NetDeviceContainer linkSw = p2p.Install (NodeContainer (s1, s2));

    devices.Add (linkSw);

    // Assign IP addresses to devices

    Ipv4AddressHelper ipv4;

    ipv4.SetBase (“10.1.1.0”, “255.255.255.0”);

    Ipv4InterfaceContainer interfaces = ipv4.Assign (devices);

    // Create applications

    uint16_t port = 9;  // Discard port (RFC 863)

    UdpEchoServerHelper echoServer (port);

    ApplicationContainer serverApps = echoServer.Install (hosts.Get (1));

    serverApps.Start (Seconds (1.0));

    serverApps.Stop (Seconds (10.0));

    UdpEchoClientHelper echoClient (interfaces.GetAddress (1), port);

    echoClient.SetAttribute (“MaxPackets”, UintegerValue (10));

    echoClient.SetAttribute (“Interval”, TimeValue (Seconds (1.0)));

    echoClient.SetAttribute (“PacketSize”, UintegerValue (1024));

    ApplicationContainer clientApps = echoClient.Install (hosts.Get (0));

    clientApps.Start (Seconds (2.0));

    clientApps.Stop (Seconds (10.0));

    // Enable network traffic tracing

    AsciiTraceHelper ascii;

    p2p.EnableAsciiAll (ascii.CreateFileStream (“sdn_comparison.tr”));

    // Run simulation

    NS_LOG_INFO (“Starting simulation…”);

    Simulator::Stop (Seconds (11.0));

    Simulator::Run ();

    Simulator::Destroy ();

    NS_LOG_INFO (“Simulation finished.”);

}

Build and Run the ns-3 Simulation

# Add the C++ file to ns-3 examples

cp sdn_comparison.cc ns-3-dev/examples/openflow/sdn_comparison.cc

# Edit the wscript file

nano ns-3-dev/examples/openflow/wscript

# Add this line to wscript

(‘sdn_comparison’, [‘sdn_comparison.cc’])

# Build ns-3

cd ns-3-dev

./waf configure

./waf build

# Run the simulation

./waf –run sdn_comparison

3. Performance Metrics Analysis

You can seize the following parameters to examine network effectiveness:

1. Throughput:

• By employing an application such as UDP Echo, calculate the data transfer.
• Otherwise, through iperf aim to simulate throughput.

2. Latency:

• Between packet transmission and reception, compute the time latency.

3. Packet Loss:

• The percentage of packets lost at the time of transmission has to be defined.

4. Flow Table Size and Rule Management:

• Focus on tracking the flow table entries and assess rule management.

5. Controller Response Time:

• To process and install flow regulations, calculate the time taken by the controller.

4. Comparative Analysis Report

Sample Structure

1. Introduction:

• Offer contextual information on SDN and the relevance of performance analysis.

2. Network Topology and Setup:

• Diagram or explanation of the topology has to be provided.
• In this step, description of simulation arrangement is encompassed.

3. Performance Metrics:

• Throughput: Contrasting controller effectiveness, by representing graphs/tables.
• Latency: Graphs/tables are encompassed to exhibit packet delay.
• Packet Loss: Display bar chart of loss percentage among settings.
• Controller Response Time: By means of boxplot contrasting rule processing times.

4. Analysis and Insights:

• Typically, the comparison of various controllers such as Floodlight vs. Ryu vs. ODL are described in this section.
• Provides the detected enhancements or blockages.
• Mainly, for improvement suitable suggestions have to be offered.

5. Conclusion:

• The outline of outcomes has to be offered in the conclusion segment.
• For upcoming research, it is better to provide beneficial recommendations.

6. References:

• In this section, mention related documents or papers.

What are the SDN simulators currently available? Any ideas?

There are several SDN simulators, but some are recently available. We offer a classified collection of prevalent SDN simulators and emulators, together with their major characteristics and application areas:

1. Mininet

• Type: Emulator
• Language: Python
• Major Characteristics:
• This simulator has the capability to develop virtual networks on a single machine.
• For OpenFlow and external SDN controllers, it is assistive.
• It enabled CLI and Python API for network control.
• Application Areas:
• Specifically, in rapid modelling and examining of the SDN applications, Mininet is employed.
• Installation:

sudo apt-get install mininet

• Website: Mininet

2. ns-3

• Type: Simulator
• Language: Python, C++
• Major Characteristics:
• NS-3 is examined as a discrete-event network simulator.
• It provides OpenFlow support by means of the openflow-switch module.
• NS-3 enables the combination with external SDN controllers such as POX and Ryu.
• Application Areas:
• It is utilized in protocol study and extensive network simulation.
• Installation:

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

cd ns-3-dev

./waf configure && ./waf build

• Website: ns-3

3. EstiNet

• Type: Simulator, Emulator
• Language: C++
• Major Characteristics:
• Generally, EstiNet is examined as a commercial-graded SDN network simulator and emulator.
• It assists OpenFlow controllers such as Floodlight, ONOS, ODL.
• EstinNet facilitates GUI-related topology development and traffic exploration.
• Application Areas:
• EstiNet is employed in extensive network study and commercial-grade testing.
• Website: EstiNet

4. GNS3

• Type: Emulator
• Language: Python
• Major Characteristics:
• GNS3 is a graphical network simulator and emulator.
• It enables VirtualBox/QEMU incorporation for virtual hosts.
• GNS3 supports the emulation of switches and routers with SDN controllers.
• Application Areas:
• In actual-world network simulation and emulation, GNS3 is used.
• Installation:

sudo add-apt-repository ppa:gns3/ppa

sudo apt-get update

sudo apt-get install gns3-gui gns3-server

• Website: GNS3

5. CORE (Common Open Research Emulator)

• Type: Emulator
• Language: Python
• Major Characteristics:
• For wired and wireless networks, CORE is determined as a lightweight emulator.
• It enables Python API for custom topology development.
• Offers SDN assistance through OpenFlow and external controllers.
• Application Areas:
• CORE is employed in the study of SDN-enabled mobile and wireless networks.
• Installation:

sudo apt-get install core

• Website: CORE

6. Containernet

• Type: Emulator
• Language: Python
• Major Characteristics:
• Along with Docker container support, Containernet is a Mininet extension.
• For external SDN controllers, it is helpful.
• It enables the integration of containers and virtual switches.
• Application Areas:
• In SDN-based cloud-native applications, it is employed.
• Containernet is used in Multi-cloud structures.
• Installation:

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

cd containernet

sudo ./install.sh

• Website: Containernet

7. OFNet

• Type: Emulator
• Language: Python
• Major Characteristics:
• OFNet which is an SDN network emulator is formulated for extensive testing.
• It facilitates REST API for network control.
• OFNeT offers support for traffic tracking and analysis tools.
• Application Areas:
• OFNet is utilized in emulating cloud-scale data center networks.
• Employed in the study of SDN-based traffic engineering.
• Website: OFNet

8. ONOS Simulator

• Type: Simulator
• Language: Java
• Major Characteristics:
• ONOS is examined as a network simulator for the ONOS SDN controller.
• It facilitates the simulation of extensive network topologies.
• For OpenFlow, P4, it is assistive.
• Application Areas:
• ONOS is utilized in the study of ONOS-based network applications.
• Employs in examining ONOS SDN applications and network strategies.
• Website: ONOS

9. EmuNet

• Type: Emulator
• Language: Python
• Major Characteristics:
• It provides support for combining with Mininet and external controllers.
• For traffic tracking and analysis tools, it is supportive.
• It enables REST API for network arrangement.
• Application Areas:
• In the study of SDN-based traffic analysis, EmuNet is used.
• This emulator is utilized in emulating extensive network platforms.

10. SDN Playground

• Type: Emulator
• Language: Python
• Major Characteristics:
• It assists external controllers such as Ryu and POX.
• SDN Playground offers an adaptable SDN testbed for testing with controllers.
• Application Areas:
• This emulator is employed in academic usages and modelling SDN applications.

Summary Table

 Selecting the Right Tool

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