Building Process Mind: A Deterministic Operating System Algorithm Simulator
I built Process Mind because I wanted a better way to practice Operating System algorithms. When preparing for exams, I often found myself solving the same types of scheduling, page replacement, disk scheduling, and memory allocation problems repeatedly. The problem wasn't finding explanations of these algorithms. There are plenty of them. The problem was verification . For a manually solved…
Process Mind is an interactive web platform designed for practicing Operating System algorithms. The platform focuses on deterministic results, providing users with the same output each time they input the same problem. This deterministic approach is useful for verifying manually solved problems and checking the accuracy of their solutions.
The platform covers four major areas: CPU Scheduling, Page Replacement, Disk Scheduling, and Memory Allocation. Each area is represented by different scheduling algorithms, such as FCFS, SJF, SRTF, Priority, Preemptive Priority, Round Robin, FIFO, LRU, Optimal, Second Chance, LRU Counter, FCFS, SSTF, SCAN, C-SCAN, LOOK, C-LOOK, First Fit, Best Fit, Worst Fit, and Next Fit.
Process Mind takes user input, validates it, runs the corresponding algorithm, and produces structured results. These results include calculated metrics, process details, Gantt blocks, and execution steps. The application separates the validation, algorithm execution, and result presentation into distinct stages, which became an important design decision.
The core idea behind Process Mind is to provide deterministic results, meaning that if a user enters a specific problem, they will always receive the same output. This deterministic nature allows users to verify their manually solved problems and check the accuracy of their solutions. The algorithm processes the input according to its defined rules, ensuring consistency in the results.
One of the challenges in building Process Mind was determining what information the algorithm should return. While it was easy to return metrics such as completion time, waiting time, and turnaround time, the educational value of the tool required additional information. The result structure evolved to include more detailed information, such as the selected process, the reason for selection, and the state of the ready queue at each execution step.
Handling preemptive scheduling introduced additional complexity. Preemptive algorithms, such as SRTF and Preemptive Priority Scheduling, require the algorithm to maintain the remaining execution time of processes. This allows the algorithm to determine which process should run based on the current state. Round Robin scheduling, on the other hand, controls execution using a time quantum, with processes that don't finish within their allocated time being placed back into the ready queue.
Validation is crucial in Process Mind due to the potential for users to enter arbitrary values. The application uses React Hook Form with Zod for form handling and validation. Inputs such as arrival time, burst time, priority, and quantum have appropriate constraints, and duplicate process IDs are rejected. Users can also generate random input sets to practice with, which aligns with the original purpose of the project: generating problems, solving them, and verifying the results.
The interface around the algorithm is designed to help users understand the results. Process Mind combines input forms, result metrics, process tables, Gantt charts, and expandable execution steps to present information in a clear and structured manner. The Gantt chart provides a quick overview of execution, while the execution-step section allows users to delve into more detailed information when needed.
The interface is kept relatively simple to avoid unnecessary visual complexity, with the goal of making Process Mind feel more like a simulation in future updates.
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