To implement interoperability between a cloud environment and a network in ns3, we need to set-up a simulation in which the devices and cloud servers communicate with each other un interruptly. This type of set-ups mainly used in cloud computing concepts to integrate them in ns3 simulation. The following steps will guide on how to implement interoperability cloud in ns3.
Step-by-step guide to implement interoperability in ns3:
Step 1: Install ns3
Make sure ns3 is installed on the system.
Step 2: Set Up the Simulation Environment
Create a new simulation script or modify an existing one. This script will define the network topology, nodes, mobility models, and communication protocols.
Step 3: Define Network Topology
Create nodes and define the network topology, focusing on the creation of cloud servers, user devices, and the necessary network infrastructure. Here’s an example of setting up a basic network with cloud servers and user devices.
#include “ns3/core-module.h”
#include “ns3/network-module.h”
#include “ns3/internet-module.h”
#include “ns3/point-to-point-module.h”
#include “ns3/mobility-module.h”
#include “ns3/applications-module.h”
#include “ns3/flow-monitor-module.h”
using namespace ns3;
NS_LOG_COMPONENT_DEFINE (“CloudInteroperabilityExample”);
int main (int argc, char *argv[])
{
// Enable logging
LogComponentEnable (“CloudInteroperabilityExample”, LOG_LEVEL_INFO);
// Create nodes
NodeContainer cloudNodes;
cloudNodes.Create (3); // Example with 3 cloud server nodes
NodeContainer userNodes;
userNodes.Create (10); // Example with 10 user nodes
// Create P2P links between cloud nodes
PointToPointHelper pointToPoint;
pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“1Gbps”));
pointToPoint.SetChannelAttribute (“Delay”, StringValue (“2ms”));
NetDeviceContainer cloudDevices;
cloudDevices = pointToPoint.Install (cloudNodes.Get(0), cloudNodes.Get(1));
cloudDevices = pointToPoint.Install (cloudNodes.Get(1), cloudNodes.Get(2));
// Create P2P links between user nodes and cloud nodes
pointToPoint.SetDeviceAttribute (“DataRate”, StringValue (“100Mbps”));
pointToPoint.SetChannelAttribute (“Delay”, StringValue (“10ms”));
NetDeviceContainer userDevices;
for (uint32_t i = 0; i < userNodes.GetN (); ++i)
{
NetDeviceContainer link = pointToPoint.Install (userNodes.Get (i), cloudNodes.Get (0));
userDevices.Add (link.Get (0));
cloudDevices.Add (link.Get (1));
}
// Install Internet stack
InternetStackHelper stack;
stack.Install (cloudNodes);
stack.Install (userNodes);
// Assign IP addresses
Ipv4AddressHelper address;
address.SetBase (“10.1.1.0”, “255.255.255.0”);
Ipv4InterfaceContainer cloudInterfaces = address.Assign (cloudDevices);
address.SetBase (“10.1.2.0”, “255.255.255.0”);
Ipv4InterfaceContainer userInterfaces = address.Assign (userDevices);
// Set up mobility model for user nodes (cloud nodes are stationary)
MobilityHelper mobility;
mobility.SetMobilityModel (“ns3::ConstantPositionMobilityModel”);
mobility.Install (cloudNodes);
mobility.SetPositionAllocator (“ns3::GridPositionAllocator”,
“MinX”, DoubleValue (0.0),
“MinY”, DoubleValue (0.0),
“DeltaX”, DoubleValue (5.0),
“DeltaY”, DoubleValue (10.0),
“GridWidth”, UintegerValue (3),
“LayoutType”, StringValue (“RowFirst”));
mobility.SetMobilityModel (“ns3::RandomWalk2dMobilityModel”,
“Bounds”, RectangleValue (Rectangle (0, 50, 0, 50)));
mobility.Install (userNodes);
// Install and start applications on cloud servers and user nodes
uint16_t port = 8080;
Address serverAddress (InetSocketAddress (cloudInterfaces.GetAddress (0), port));
// Cloud server application
UdpServerHelper server (port);
ApplicationContainer serverApps = server.Install (cloudNodes.Get (0));
serverApps.Start (Seconds (1.0));
serverApps.Stop (Seconds (10.0));
// User client application
UdpClientHelper client (serverAddress);
client.SetAttribute (“MaxPackets”, UintegerValue (1000));
client.SetAttribute (“Interval”, TimeValue (Seconds (0.01)));
client.SetAttribute (“PacketSize”, UintegerValue (1024));
ApplicationContainer clientApps;
for (uint32_t i = 0; i < userNodes.GetN (); ++i)
{
clientApps.Add (client.Install (userNodes.Get (i)));
}
clientApps.Start (Seconds (2.0));
clientApps.Stop (Seconds (10.0));
// Set up FlowMonitor
FlowMonitorHelper flowmon;
Ptr<FlowMonitor> monitor = flowmon.InstallAll ();
// Run the simulation
Simulator::Stop (Seconds (10.0));
Simulator::Run ();
// Print statistics
monitor->CheckForLostPackets ();
Ptr<Ipv4FlowClassifier> classifier = DynamicCast<Ipv4FlowClassifier> (flowmon.GetClassifier ());
std::map<FlowId, FlowMonitor::FlowStats> stats = monitor->GetFlowStats ();
for (std::map<FlowId, FlowMonitor::FlowStats>::const_iterator i = stats.begin (); i != stats.end (); ++i)
{
Ipv4FlowClassifier::FiveTuple t = classifier->FindFlow (i->first);
NS_LOG_UNCOND (“Flow ” << i->first << ” (” << t.sourceAddress << ” -> ” << t.destinationAddress << “)”);
NS_LOG_UNCOND (” Tx Packets: ” << i->second.txPackets);
NS_LOG_UNCOND (” Tx Bytes: ” << i->second.txBytes);
NS_LOG_UNCOND (” Rx Packets: ” << i->second.rxPackets);
NS_LOG_UNCOND (” Rx Bytes: ” << i->second.rxBytes);
NS_LOG_UNCOND (” Throughput: ” << i->second.rxBytes * 8.0 / (i->second.timeLastRxPacket.GetSeconds () – i->second.timeFirstTxPacket.GetSeconds ()) / 1024 / 1024 << ” Mbps”);
}
// Clean up
Simulator::Destroy ();
return 0;
}
Step 4: Set Up Mobility Models
In the example, the ConstantPositionMobilityModel is used for cloud nodes to keep them stationary, while the RandomWalk2dMobilityModel is used for user nodes to simulate movement.
Step 5: Set Up Traffic Generation
We set up a UDP server on one of the cloud nodes and UDP clients on the user nodes to generate traffic. The traffic configuration can be adjusted to simulate different types of communication.
Step 6: Run the Simulation
Compile and run your simulation script to see the effect of cloud interoperability on network performance. The output will include statistics such as the number of packets transmitted and received, throughput, and any packet loss.
From the above given steps and example we can completely understand the process of implementing interoperability cloud by setting up the mobility model and traffic generation and running the simulation to analyse the output which includes the statistics of the number of packets transmission.
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