VBDPA Multi-Criteria Task Scheduling Algorithm in Container Based Cloud Computing Environment
Himanshukamal Verma, Vivek Shrivastava · Procedia Computer Science · 2025
In today’s dynamic technology world, cloud computing environments can accomplish effective outcomes using container-based solutions. Cloud resource management and allocation have altered as an outcome of containerized cloud computing systems. It provides scalable and flexible solutions for effective resource utilization and various factors regarding businesses. Task scheduling is very challenging in cloud systems that use containerization because there are many competing factors to consider. This study suggests VBDPA, a unique multicriteria-based task-scheduling algorithm for containerized cloud environments. The algorithm effectively addresses the complex and dynamic nature of cloud computing by utilizing the multi-criteria decision-making method known as VIKOR (VIekriterijumskoKOmpromisnoRangiranje). VBDPA seeks to improve overall system performance, reduce task completion times, maximize resource utilization, and provide better revenue for cloud providers. An analysis is carried out to compare VBDPA’s effectiveness with the current Promethee-II based PBDPA algorithm. The results of the experiments in the Cloudsim simulator show that VBDPA performs better than PBDPA in terms of makespan, revenue generation, and resource utilization. The results highlight VBDPA’s potential as a viable option for effective task scheduling in containerized cloud environments