Performance And Comparison Of Enhanced Job Scheduling Algorithms In OS (KEY IJP************613)

• Aditya Sanjay Khandagale,Manthan Mohan Thakre,Prof. P. B. Jaipurkar

Abstract

ABSTRACTJob scheduling is a crucial function in modern operating systems, determining the efficient allocation of CPU time to processes. This paper presents a comparative analysis of enhanced job scheduling algorithms, evaluating their performance in terms of efficiency, response time, turnaround time, and resource utilization. The study focuses on traditional algorithms such as First-Come, First-Served (FCFS), Shortest Job First (SJF), and Round Robin (RR), and compares them with more advanced, optimized algorithms designed to improve overall system performance, such as Multi-Level Feedback Queues (MLFQ) and Priority Scheduling. We employ a range of performance metrics and simulations to assess the strengths and weaknesses of each algorithm under varying system loads and process types. Our findings highlight the trade-offs between simplicity, fairness, and efficiency, offering valuable insights into the most effective scheduling strategies for different operational environments. Ultimately, the paper provides recommendations for selecting the most suitable job scheduling algorithm based on specific system requirements. Keywords: Job Scheduling Algorithms, Simulation, First-Come Firs Served (FCFS) Shortest Job First (SJF).