An Efficient Parallel Algorithm for Graph Processing in Cyber-Physical Systems

This research investigates the domain of cyber-physical frameworks (CPS) by presenting and assessing four parallel chart-preparing algorithms—PBFS, PDFS, PDijkstra, and PageRank—designed to address the heightening computational challenges inside these complex frameworks. Leveraging real-world datasets including sensor readings, arranged communications, and control intelligence, our calculations show prevalent performance, displaying decreased execution times, moved forward adaptability, and expanded productivity compared to their successive partners. Results demonstrate that PBFS and PDFS accomplish eminent speedup and proficiency in navigating CPS charts, whereas PDijkstra exceeds expectations in proficiently calculating most brief ways. Additionally, PageRank illustrates remarkable speedup and proficiency, demonstrating its viability in positioning nodes inside interconnected CPS components. This research contributes important experiences to the improvement of productive chart-preparing devices for large-scale CPS datasets, giving a robust establishment for progressing the examination and administration of cyber-physical foundations.