This project is a web application that simulates an M/M/1 queuing system using a linear congruential generator (LCG). Users can input the arrival rate and service rate, click the submit button, and generate a table with various performance metrics for the queuing system. Additionally, the system allows users to generate random priorities for each customer based on the M/M/1 table.
Deployed project Link : https://priority-queue-simulator.vercel.app/
To run locally write the following commands in Vs code terminal to run the project
git clone https://github.com/umershaikh123/priority-queue-simulator.git
cd priority-queue-simulator
npm install
npm run dev
Start by entering the arrival rate (λ) and service rate (µ). Click the submit button to generate a table.
The table includes the following columns:
- S.no: Serial number.
- Cumulative Probability (Cp): Cumulative probability of arrival.
- Cp Lookup: Lookup value for cumulative probability.
- Avg Time Between Arrivals: Average time between arrivals.
- Inter Arrival Time: Time between consecutive arrivals.
- Arrival Time: Time at which a customer arrives.
- Service Time: Time taken to serve a customer.
- Start Time: Time at which service starts.
- End Time: Time at which service ends.
- Turnaround Time: Total time a customer spends in the system.
- Waiting Time: Time a customer waits in the queue.
- Response Time: Time taken to respond to a customer.
- The number of rows and total customers are determined when cumulative probability reaches 1.
After the M/M/1 table is generated, input the parameters for priority generation. Click the submit button to generate random priorities for each customer based on the previous M/M/1 table.
