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How to Calculate Network Resource utilization in omnet++

To calculate the network resource utilization in OMNeT++ has needs to evaluate how efficiently the network resources like bandwidth, CPU, memory, or node capacity are being used over time. The Resource utilization is a key performance that signifies in network simulations, particularly for understanding effectiveness and classifying the potential bottlenecks.

Step-by-Step Implementation:

  1. Define the Resources to Monitor

Identify the particular resources to monitor in network. Common resources include:

  • Bandwidth: Utilization of network links.
  • CPU Usage: Utilization of processing power at network nodes.
  • Memory Usage: Utilization of memory resources at nodes.
  • Queue Length: Utilization of buffers or queues at network interfaces.
  1. Track Resource Usage

Apply the mechanisms in simulation to monitor the usage of the chosen resources over time. For instance, we need to monitor amount of data transmitted over a link, the number of packets in a queue, or the CPU load on a node.

Example: Tracking Bandwidth Utilization

To monitor the bandwidth utilization, we need to monitor the amount of data transmitted over a network link and compare it to the link’s capacity.

double linkCapacity = 1e6;  // 1 Mbps, for example

double dataTransmitted = 0.0;

void recordDataTransmission(double dataSize) {

dataTransmitted += dataSize;

}

double calculateBandwidthUtilization() {

return (dataTransmitted / linkCapacity) * 100.0;  // Utilization as a percentage

}

  1. Calculate Utilization over Time

Resource utilization is often estimated as a percentage over a period of time. For example, bandwidth utilization can be estimated by dividing the total data transmitted by the product of link capacity and time.

Example: Bandwidth Utilization Calculation

simtime_t observationStartTime;

simtime_t observationEndTime;

void startObservation() {

observationStartTime = simTime();

dataTransmitted = 0.0;  // Reset data counter

}

void endObservation() {

observationEndTime = simTime();

simtime_t observationPeriod = observationEndTime – observationStartTime;

double bandwidthUtilization = (dataTransmitted / (linkCapacity * observationPeriod.dbl())) * 100.0;

EV << “Bandwidth Utilization: ” << bandwidthUtilization << “%” << endl;

recordScalar(“Bandwidth Utilization”, bandwidthUtilization);

}

  1. Emit and Record Utilization Metrics

We need to release the utilization metrics as signals for dynamic monitoring during the simulation or record them as scalar values for post-simulation analysis.

simsignal_t bandwidthUtilizationSignal;

void initialize() override {

bandwidthUtilizationSignal = registerSignal(“bandwidthUtilization”);

}

void endObservation() {

observationEndTime = simTime();

simtime_t observationPeriod = observationEndTime – observationStartTime;

double bandwidthUtilization = (dataTransmitted / (linkCapacity * observationPeriod.dbl())) * 100.0;

EV << “Bandwidth Utilization: ” << bandwidthUtilization << “%” << endl;

emit(bandwidthUtilizationSignal, bandwidthUtilization);

recordScalar(“Bandwidth Utilization”, bandwidthUtilization);

}

  1. Run the Simulation and Analyse Resource Utilization

After running simulation, use OMNeT++’s analysis tools to investigate the resource utilization metrics. This analysis will support to identify how efficiently the network is using its resources and where improvements are needed.

  1. Example Scenario

The below are the sample of how we might to calculate and record network resource utilization in OMNeT++:

class NetworkNode : public cSimpleModule {

private:

double linkCapacity = 1e6;  // 1 Mbps, for example

double dataTransmitted = 0.0;

simtime_t observationStartTime;

simtime_t observationEndTime;

simsignal_t bandwidthUtilizationSignal;

protected:

virtual void initialize() override {

bandwidthUtilizationSignal = registerSignal(“bandwidthUtilization”);

startObservation();

}

virtual void handleMessage(cMessage *msg) override {

double dataSize = msg->getByteLength();  // Get the size of the data in bytes

recordDataTransmission(dataSize);

send(msg, “out”);

}

void recordDataTransmission(double dataSize) {

dataTransmitted += dataSize;

}

void startObservation() {

observationStartTime = simTime();

dataTransmitted = 0.0;  // Reset data counter

}

void endObservation() {

observationEndTime = simTime();

simtime_t observationPeriod = observationEndTime – observationStartTime;

double bandwidthUtilization = (dataTransmitted / (linkCapacity * observationPeriod.dbl())) * 100.0;

EV << “Bandwidth Utilization: ” << bandwidthUtilization << “%” << endl;

emit(bandwidthUtilizationSignal, bandwidthUtilization);

recordScalar(“Bandwidth Utilization”, bandwidthUtilization);

}

virtual void finish() override {

endObservation();

}

};

  1. Post-Simulation Analysis

After completing the simulation, we need to measure the recorded resource utilization metrics to evaluate how well the network performed under numerous conditions. This could contains the examining whether the network resources were underutilized or overutilized, and where improvements can be made.

  1. Consider Other Resources

If we want to monitor other resources such as CPU or memory, we need to implement a similar approach by monitoring the relevant metrics and estimating the the utilization over time. For example:

  • CPU Utilization: Track the number of processing cycles used versus available cycles.
  • Memory Utilization: Track the amount of memory used versus total memory capacity.
  • Queue Utilization: Monitor the length of queues at network interfaces compared to their maximum capacity.

Through this approach, we understood the procedures to calculate the resource utilization in the network resources over the time that were executed using OMNeT++ simulation. We also offer the valuable insights regarding how the network resource utilization perform in other simulation tools.

Please provide us with your parameter details, and we will assist you in calculating network resource utilization using the omnet++ tool. To determine the simulation performance, we will provide the best outcome.

Related Topics

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  • Network Security Research Topics

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