How to Begin Implement Network Service Rate in NS3

To begin and examine the Network Service Rate in NS3 tool has includes the quantifying the rate of that network processes requests or delivers data successfully. This performance of parameter metric is mainly related the environment such as client-server models, cloud services, or queue-based systems, in which we need to estimate the network’s ability to manage the service requests.

Steps to Implement Network Service Rate in NS3

  1. Understand Network Service Rate
  • Definition: The service rate is the number of requests or packets the network successfully has manage the per unit time.
  • Metrics:
    • Service Rate (RsR_sRs​): Rs=Requests Served or Packets DeliveredTotal TimeR_s = \frac{\text{Requests Served or Packets Delivered}}{\text{Total Time}}Rs​=Total TimeRequests Served or Packets Delivered​
    • Typically measured in requests per second (RPS) or packets per second (PPS).
  1. Set up NS3 Simulation Environment
  1. Install NS3:
    • Generate a certain NS3 is installed and perform correctly. Download it from the NS3 website.
  2. Define a Network Scenario:
    • Use a basic client-server topology or a further complex setting by numerous clients and servers.
  1. Determine Key Metrics
  • Monitor the number of packets or requests has successfully delivered to the destination.
  • Follow the duration for complete replication.
  1. Implement Service Rate Calculation

Under is a sample NS3 script for estimate the network service rate in a client-server environment.

Example Script: Network Service Rate in NS3

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

class ServiceRateCalculator {

public:

ServiceRateCalculator() : m_packetsDelivered(0), m_simulationTime(Seconds(0)) {}

void PacketDelivered() {

m_packetsDelivered++;

}

void SetSimulationTime(Time time) {

m_simulationTime = time;

}

void CalculateServiceRate() {

double serviceRate = m_packetsDelivered / m_simulationTime.GetSeconds();

NS_LOG_UNCOND(“Network Service Rate: ” << serviceRate << ” packets/second”);

NS_LOG_UNCOND(“Total Packets Delivered: ” << m_packetsDelivered);

}

private:

uint32_t m_packetsDelivered;

Time m_simulationTime;

};

ServiceRateCalculator serviceRateCalculator;

void ReceivedPacketCallback(Ptr<const Packet> packet) {

serviceRateCalculator.PacketDelivered();

}

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

CommandLine cmd;

cmd.Parse(argc, argv);

// Create nodes

NodeContainer nodes;

nodes.Create(2);

// Configure Point-to-Point link

PointToPointHelper pointToPoint;

pointToPoint.SetDeviceAttribute(“DataRate”, StringValue(“10Mbps”));

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

NetDeviceContainer devices = pointToPoint.Install(nodes);

// Install Internet stack

InternetStackHelper stack;

stack.Install(nodes);

// Assign IP addresses

Ipv4AddressHelper address;

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

Ipv4InterfaceContainer interfaces = address.Assign(devices);

// Install applications

uint16_t port = 9;

UdpEchoServerHelper server(port);

ApplicationContainer serverApp = server.Install(nodes.Get(1));

serverApp.Start(Seconds(1.0));

serverApp.Stop(Seconds(10.0));

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

client.SetAttribute(“MaxPackets”, UintegerValue(100));

client.SetAttribute(“Interval”, TimeValue(MilliSeconds(100))); // Send one packet every 100 ms

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

ApplicationContainer clientApp = client.Install(nodes.Get(0));

clientApp.Start(Seconds(2.0));

clientApp.Stop(Seconds(10.0));

// Attach callbacks

devices.Get(1)->TraceConnectWithoutContext(“PhyRxEnd”, MakeCallback(&ReceivedPacketCallback));

// Set simulation time

serviceRateCalculator.SetSimulationTime(Seconds(10.0));

// Schedule service rate calculation at the end of the simulation

Simulator::Schedule(Seconds(10.0), &ServiceRateCalculator::CalculateServiceRate, &serviceRateCalculator);

Simulator::Run();

Simulator::Destroy();

return 0;

}

Explanation of the Script

  1. Tracking Delivered Packets:
    • The ReceivedPacketCallback functions are increases the counter for each time a packet has successfully received.
  2. Service Rate Calculation:
    • The ServiceRateCalculator class computes the service rate as the total packets distributed the separated through the replication duration.
  3. UDP Echo Application:
    • A UdpEchoClient creates a congestion, and a UdpEchoServer processes the packets.
  4. Custom Simulation Time:
    • The complete replication time is set for clearly in the calculation of accurate rate.
  1. Run the Simulation
  1. Build the script:

./waf –run “your-script-name”

  1. Follow the output for the network service rate and total packets delivered.
  1. Analyze Results
  • Effect of Traffic Intensity:
    • It high the MaxPackets or decrease the Interval for replicate the higher congestion and follow on how the service rate variations.
  • Effect of Data Rate:
    • Modification the DataRate features for the point-to-point link and investigation the effect of service rate.

Advanced Extensions

  1. Dynamic Traffic Patterns:
    • Use OnOffApplication or equal to replicate the bursty congestion design.
  2. Multi-Client Setup:
    • Encompass the network topology for contains the several clients and follow the aggregated service rate.
  3. Queue Modeling:
    • Establish the queueing devices for instance DropTailQueue to study the effect of queue size on the service rate.
  4. Visualization:
    • Distribute the service rate data for tools such as MATLAB, Python, or Excel for graphical analysis.
  5. Latency and Congestion:
    • Associate the service rate analysis by parameter metrics such as latency and packet loss to recognise the complete performance.

We demonstrate how the network service rate is calculated on the ns3 tool that has generate the traffic then monitor the packet and calculate the service rate. We will also detail the approach taken to conduct the network service rate in various simulations.