Adaptive Scheduling for Maritime Cloud Computing: A Dynamic Weighted Round Robin Approach with Aging and Threshold-Based Quantum Adjustment

Abstract

Effective process scheduling is essential for enhancing performance metrics like turnaround time, waiting time, and system throughput, especially in maritime computing systems, where real-time task execution and resource efficiency are vital for navigation, communication, and autonomous vessel operations. This paper presents a Dynamic Weighted Round Robin (DWRR) scheduling algorithm, enhanced with Aging and Threshold-Based Quantum Adjustment, to improve task scheduling efficiency in marine contexts. The suggested method dynamically modifies the time quantum according to process activity, incorporating priority levels and total waiting time to guarantee equitable and effective execution of maritime computing activities. Experimental results indicate that the suggested approach markedly enhances scheduling performance by decreasing Average Waiting Time (AWT) to 136 seconds, representing a 12% improvement over RMRR (154 seconds) and a 6.2% enhancement relative to alternative scheduling methods. Furthermore, it decreases Average Turnaround Time (ATT) to 79 seconds, representing a 61.22% enhancement over RMRR (204 seconds), while attaining a Response Time of 45 seconds, a 30.8% decrease relative to RMRR (65 seconds). The technique attains a throughput of 0.0172 and substantially reduces context switches to 6, surpassing current scheduling methodologies. The enhancements render the proposed scheduling framework exceptionally efficient for maritime computing applications, guaranteeing optimal resource usage, reduced latency, and improved system stability in crucial maritime operations.