To simulate Benes network routing using OMNeT++ has requires to contain making a multi-stage changing network topology, which resembles the structure of a Benes network, and executing or using a routing algorithm to handle packet flow via the network. The Benes network is broadly utilized for its non-blocking properties within telecommunications and data center architectures, especially in parallel and high-performance computing networks.
The following is a simple instruction on how to replicate Benes network routing in OMNeT++.
Steps to Simulate Benes Network Routing Projects in OMNeT++
- Set Up OMNeT++ and INET Framework
To begin with the simulation, make certain we have:
- OMNeT++ installed: We can download and install it from OMNeT++ website.
- INET Framework installed: We can install it from the INET GitHub page or via the OMNeT++ package manager. INET framework provides network protocols that may be helpful for managing lower-level communication.
- Understand the Benes Network Structure
A Benes network is a rearrangeable non-blocking network, which contains two back-to-back Butterfly networks. It is composed of several stages of switches in which each stage is interconnected in a particular way to make certain that any permutation of input to output can be realized without blocking.
- Stages: The Benes network has 2N – 1 stages in which N is the amount of switching stages in a butterfly network.
- Switches: Each stage contains N 2×2 switches.
- Connections: The connections among switches are done in a very particular manner, which make certain that all paths among inputs and outputs are possible.
- Define Benes Network Topology (NED File)
To describe the Benes network topology, we will require to make the particular arrangement of 2×2 switches across numerous stages.
Example NED file for Benes Network:
network BenesNetwork
{
parameters:
int numStages = 5; // Number of stages for 8 inputs/outputs Benes network
@display(“bgb=800,600”);
submodules:
// Define switches for each stage (2×2 switch per node)
switch[8 * (numStages)] : Switch {
@display(“i=block/switch”);
}
connections allowunconnected:
// Connections between stages for 8 input/output Benes network
// This will depend on the actual Benes network structure for your size
// Example: interconnecting between switches in butterfly manner
// Stage 1 to Stage 2 connections
switch[0].out++ –> switch[8].in++;
switch[0].out++ –> switch[9].in++;
// Repeat for each stage connection and for all switches
// Stage 2 to Stage 3 connections and onward
}
- Switches: In a Benes network, each node within the network signifies a 2×2 switch, which can route information from two inputs to two outputs.
- Connections: We must cautiously model the inter-stage connections to similar the Benes network structure.
Switch Definition:
The Switch module denotes a 2×2 switching element within the network. We can be described the behaviour of this switch in a isolate NED file or use a basic forwarding model in which it routes packets rely on the configuration.
simple Switch
{
gates:
input in[2]; // Two inputs for the 2×2 switch
output out[2]; // Two outputs for the 2×2 switch
}
- Implement Benes Network Routing Algorithm
The Benes network is known for its non-blocking property, meaning that a routing algorithm must exist to actively assign the switching paths according to the source and destination pair.
We can execute a custom routing algorithm within C++, which manages how packets are routed via the switches.
Example C++ Class for Benes Network Routing:
class BenesRouting : public cSimpleModule
{
private:
std::map<int, int> routingTable; // Store routing information
protected:
virtual void initialize() override;
virtual void handleMessage(cMessage *msg) override;
void routePacket(cPacket *pkt);
};
void BenesRouting::initialize()
{
// Initialize routing table or routing algorithm
}
void BenesRouting::handleMessage(cMessage *msg)
{
cPacket *pkt = check_and_cast<cPacket*>(msg);
routePacket(pkt);
}
void BenesRouting::routePacket(cPacket *pkt)
{
// Logic to decide the path through the Benes network
// Based on the source and destination addresses
int outGate = routingTable[pkt->getDestination()];
send(pkt, “out”, outGate);
}
- Routing Table: The routing table can be pre-configured or actively generated rely on the source-destination pair.
- Routing Logic: Based on the stage and switch in the network, we route the packet toward the appropriate output port.
- Configure Simulation in omnetpp.ini
The .ini configuration file that identifies the settings for the simulation, like traffic patterns, routing configurations, and performance parameters.
[General]
network = BenesNetwork
sim-time-limit = 200s
# Parameters for the switches and traffic configuration
*.switch[*].bufferSize = 10
# You can specify packet generation between nodes (hosts) to test the routing
*.hostA.numPackets = 100
*.hostA.destAddresses = “hostB” # Packet destined for hostB
*.hostB.numPackets = 100
*.hostB.destAddresses = “hostA” # Packet destined for hostA
- Traffic Patterns: Describe the number of packets are transmitted among hosts that will go via the Benes network switches.
- Routing and Performance Settings: Set buffer sizes, traffic loads, and routing algorithms.
- Simulate and Analyze the Results
When the network topology and routing logic are in position then we run the simulation and examine the following parameters:
- Routing Efficiency: Make certain that all paths within the Benes network are non-blocking, and packets are routed effectively.
- Throughput: Compute the throughput of the network under distinct traffic conditions.
- Latency: Verify the delay experienced by packets are traversing the Benes network.
- Packet Loss: If congestion is launched then we assess the packet loss and investigate routing behaviour.
- Extend the Project
When the simple simulation is configure then we can expand it in numerous ways:
- Larger Benes Networks: Measure the network to have more input and output ports (e.g., a 16-input Benes network).
- Adaptive Routing: Execute an adaptive routing algorithm, which can dynamically fine-tune depends on traffic conditions or link failures.
- Traffic Patterns: Launch more complex traffic patterns and investigate the network’s performance.
- Fault Tolerance: Replicate link or switch failures and experiment how the routing algorithm adjusts to these failures.
In this projects will enable you to get more knowledge of Benes Network routing projects, simulated and analysed their outcomes using OMNeT++ tool and INET framework. We plan to provide another set of concepts with instance in upcoming manual.
phdprime.com experts understand that navigating the complexities of your Benes Network Routing project can be challenging. So share all relevant project details with us, and we will provide you with the most suitable project topics and full simulation guidance.
