Abstract:

This paper presents the design and implementation of a custom scheduling algorithm that integrates operating system (OS) principles with computer organization and architecture (COA) fundamentals, supported by data-structure (DS) based signal handling mechanisms. The proposed scheduler emphasizes efficient task management through asynchronous event-driven signal processing utilizing queues and stacks. Theresearch explores the interaction between OS-level software scheduling and hardware-level architectural components, such as instruction cycles, pipeline stalls, cache management, and interrupt control. Experimental evaluations were conducted using simulated workloads to analyze latency, throughput, and processor utilization under varying loads. The proposed scheduler demonstrates notable improvements in responsiveness and CPU efficiency compared to traditional scheduling algorithms. Furthermore, the signal-handling mechanism improves concurrency and reliability in real-time and multitasking environments. This paper also provides a detailed comparison with existing models, along with theoretical analysis and performance outcomes that establish the proposed model as a balanced and optimized scheduling framework.