How to Calculate Network Resiliency in omnet++
To calculate network resiliency in OMNeT++ has includes measuring the network capability to maintain the acceptable performance levels under stress conditions, like node failures, link failures, or attacks. Resiliency usually evaluates how well the network can improve from failures and handles the service levels. The below are the brief structures to estimate the network resiliency in OMNeT++:
Step-by-Step Implementation:
- Define Resiliency Metrics
Resiliency can be quantified using numerous metrics that depending on the particular scenario. Common metrics include:
- Recovery Time: The time taken for the network to recover from a failure and return to normal operation.
- Service Degradation: The degree to which network performance is impacted by failures, measured in terms of throughput, latency, packet loss, etc.
- Survivability: The ability of the network to continue operating under adverse conditions.
- Set up the Simulation Environment
- Network Topology: To describe a network topology that can experience failures. This can contains the multiple nodes and connections that can be dynamically disrupted during the simulation.
- Failure Scenarios: Specify the kinds of failures to simulate, like node failures, link failures, or targeted attacks. We need to use self-messages or event triggers to introduce failures at particular simulation times.
- Simulate Failures
- Introduce failures during the simulation by disabling nodes, links, or particular network components. This can be completed programmatically in C++ code.
void SimpleNode::handleMessage(cMessage *msg) {
if (msg->isSelfMessage()) {
// Simulate a failure
isAlive = false;
// Further handling of failure
} else {
// Normal message processing
}
}
- Measure Performance Before and After Failures
- Before Failure: Measure the baseline performance of the network like throughput, latency, and packet delivery ratio before any failures occur.
- After Failure: Continue measuring the same metrics during and after the failure event.
- Calculate Resiliency Metrics
- Recovery Time: evaluate the time among the occurrence of a failure and the restoration of the network to a stable state. This can be completed by logging the simulation time at which the failure occurs and when the performance metrics return to acceptable levels.
simtime_t failureTime = simTime();
simtime_t recoveryTime = simTime() – failureTime;
- Service Degradation: To estimate the difference in network performance metrics before and after the failure. For example, compare the average throughput or latency before and after the failure event.
double throughputBeforeFailure = /* calculate throughput */;
double throughputAfterFailure = /* calculate throughput */;
double degradation = throughputBeforeFailure – throughputAfterFailure;
- Survivability: Measure the proportion of the network that remains operational and the degree to which it can still help the crucial functions.
int operationalNodes = /* count of nodes still alive */;
double survivability = (double)operationalNodes / totalNodes;
- Analyse Results
- Plot and Analyse: Use OMNeT++’s analysis tools or export the outcomes for analysis in external tools such as MATLAB, Python, or Excel. We need to plot the recovery time, service degradation, and other resiliency metrics to visualize the network’s performance under stress.
- Refinement and Sensitivity Analysis
- Repeat under Different Conditions: Run the simulation multiple times with various failure scenarios and network configurations to evaluate the network’s resiliency under numerous conditions.
- Sensitivity Analysis: evaluate how changes in network topology, protocols, or configurations impact the resiliency.
Example: Monitoring Recovery Time
The given below is the sample to overview for calculating recovery time in your OMNeT++ simulation:
class ResilientNetwork : public cSimpleModule
{
private:
simsignal_t recoveryTimeSignal;
simtime_t failureStartTime;
bool failureOccurred;
protected:
virtual void initialize() override {
recoveryTimeSignal = registerSignal(“recoveryTime”);
failureOccurred = false;
}
virtual void handleMessage(cMessage *msg) override {
if (failureCondition()) {
if (!failureOccurred) {
failureStartTime = simTime();
failureOccurred = true;
// Introduce failure
}
} else if (failureOccurred) {
simtime_t recoveryTime = simTime() – failureStartTime;
emit(recoveryTimeSignal, recoveryTime);
failureOccurred = false;
// Handle recovery
} else {
// Normal operation
}
}
bool failureCondition() {
// Define your failure condition
return false; // Placeholder
}
};
- Run the Simulation
- Execute the simulation and make sure that failure conditions and resiliency measurements are correctly implemented.
- Collect and analyse the resiliency data.
In the end we provide the information about how to calculate and measure the network resilience in the OMNeT++ simulation tool and also we deliver the detailed data about network resilience.
Send us the specifics of your parameters, and we’ll assist you in using the Omnet++ tool to calculate network resilience. We’ll give you the best result if you want to know the network performance.