CloudTask Optimizer: Performace Analysis of Task Scheduling Algorithm

• Tech Stack: FCFS, SJF, SVM, Linear Regression, Random Forest
• Github URL: Project Link

Developed CloudTask Optimizer, a system to evaluate the efficiency of task scheduling algorithms in cloud computing environments.

Compared traditional scheduling methods — FCFS, SJF, and Priority Scheduling — alongside machine learning models such as Random Forest, Decision Tree, and Linear Regression to assess performance.

Experimental results revealed that SJF achieved the lowest delay time per process, while Priority Scheduling proved most effective when appropriate priorities were assigned.