To calculate the performance of network proxies in ns3, we have to evaluate the proxy’s impact. For that first we need to setup a network topology where traffic is routed to proxy’s nodes and then measure the performance metrics such as throughput, latency, and packet loss to evaluate the proxy’s impact. The following steps will guide on how to calculate network proxies in ns3.
Step-by-step to Calculate Network Proxies in ns3
- Set Up the NS3 Environment:
- Make sure ns3 is installed.
- Define the Network Topology:
- Create a network topology that includes proxy nodes to route traffic.
- Configure the Proxy:
- Implement the proxy behavior to forward or modify traffic.
- Install Applications:
- Install traffic-generating applications on the nodes to simulate network traffic.
- Monitor Performance Metrics:
- Use trace sources or callbacks to monitor performance metrics such as throughput, latency, and packet loss.
- Analyze Proxy Performance:
- Calculate and log the performance metrics to evaluate the network proxy’s effectiveness.
Example Code
Here an example given to set up a simple ns3 simulation which uses proxy node to forward traffic between a client and a server to calculate the performance of network proxies.
#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”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE (“NetworkProxyExample”);
void CalculateProxyPerformance (Ptr<FlowMonitor> flowMonitor, FlowMonitorHelper &flowHelper)
{
Ptr<Ipv4FlowClassifier>classifier=DynamicCast<Ipv4FlowClassifier> (flowHelper.GetClassifier ());
std::map<FlowId, FlowMonitor::FlowStats> stats = flowMonitor->GetFlowStats ();
double totalThroughput = 0.0;
double totalLatency = 0.0;
uint32_t totalPackets = 0;
uint32_t lostPackets = 0;
for (auto it = stats.begin (); it != stats.end (); ++it)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (it->first);
double throughput = it->second.rxBytes * 8.0 / (it->second.timeLastRxPacket.GetSeconds () – it->second.timeFirstTxPacket.GetSeconds ()) / 1024; // kbps
double latency = it->second.delaySum.GetSeconds () / it->second.rxPackets * 1000; // ms
uint32_t packets = it->second.rxPackets + it->second.lostPackets;
totalThroughput += throughput;
totalLatency += latency;
totalPackets += packets;
lostPackets += it->second.lostPackets;
}
double averageLatency = totalPackets > 0 ? totalLatency / stats.size () : 0;
double packetLoss = totalPackets > 0 ? (static_cast<double> (lostPackets) / totalPackets) * 100 : 0;
NS_LOG_UNCOND (“Total Throughput: ” << totalThroughput << ” kbps”);
NS_LOG_UNCOND (“Average Latency: ” << averageLatency << ” ms”);
NS_LOG_UNCOND (“Packet Loss: ” << packetLoss << ” %”);
}
int main (int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse (argc, argv);
Time::SetResolution (Time::NS);
// Create nodes
NodeContainer nodes;
nodes.Create (4); // Client, Proxy, Proxy, Server
// Create point-to-point links
PointToPointHelper pointToPoint;
pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“10Mbps”));
pointToPoint.SetChannelAttribute (“Delay”, StringValue (“2ms”));
NetDeviceContainer devices01 = pointToPoint.Install (NodeContainer (nodes.Get (0), nodes.Get (1)));
NetDeviceContainer devices12 = pointToPoint.Install (NodeContainer (nodes.Get (1), nodes.Get (2)));
NetDeviceContainer devices23 = pointToPoint.Install (NodeContainer (nodes.Get (2), nodes.Get (3)));
// Install the internet stack on nodes
InternetStackHelper stack;
stack.Install (nodes);
// Assign IP addresses to the devices
Ipv4AddressHelper address;
address.SetBase (“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces01 = address.Assign (devices01);
address.SetBase (“10.1.2.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces12 = address.Assign (devices12);
address.SetBase (“10.1.3.0”, “255.255.255.0”);
Ipv4InterfaceContainer interfaces23 = address.Assign (devices23);
// Enable routing
Ipv4GlobalRoutingHelper::PopulateRoutingTables ();
// Create UDP server on node 3 (Server)
UdpServerHelper server (9);
ApplicationContainer serverApp = server.Install (nodes.Get (3));
serverApp.Start (Seconds (1.0));
serverApp.Stop (Seconds (10.0));
// Create UDP client on node 0 (Client)
UdpClientHelper client (interfaces23.GetAddress (1), 9);
client.SetAttribute (“MaxPackets”, UintegerValue (320));
client.SetAttribute (“Interval”, TimeValue (MilliSeconds (10)));
client.SetAttribute (“PacketSize”, UintegerValue (1024));
ApplicationContainer clientApp = client.Install (nodes.Get (0));
clientApp.Start (Seconds (2.0));
clientApp.Stop (Seconds (10.0));
// Install flow monitor to capture performance metrics
FlowMonitorHelper flowHelper;
Ptr<FlowMonitor> flowMonitor = flowHelper.InstallAll ();
Simulator::Stop (Seconds (11.0));
Simulator::Run ();
CalculateProxyPerformance (flowMonitor, flowHelper);
Simulator::Destroy ();
return 0;
}
Explanation
- Setup: The code sets up a simple network topology with four nodes: a client, a proxy, another proxy, and a server, connected by point-to-point links.
- Internet Stack and Routing: The internet stack is installed on all nodes, and routing is enabled.
- Applications: A UDP server is installed on the server node (node 3), and a UDP client is installed on the client node (node 0) to generate traffic.
- Flow Monitor: The FlowMonitor is used to gather performance metrics like throughput, latency, and packet loss.
- CalculateProxyPerformance Function: This function calculates the total throughput, average latency, and packet loss, and logs these metrics to evaluate the performance of the network proxy.
Running the Simulation
Compile and run the simulation using the following commands in your ns3 environment:
./waf configure
./waf build
./waf –run your-script-name
Replace script-name with the actual name of the script file.
From the above given example, we all get to know how to setup simple ns3 simulation for calculating the performance of network proxies.
To determine the Network Proxies in your project’s Ns3, we’ll offer you the most accurate outcomes. Please share your specifications with us, and we’ll assess the proxy’s performance using metrics like throughput, latency, and packet loss to gauge its influence on your research efforts.