An extended container placement mechanism to enhance the efficiency of cloud systems

Abstract

The rapid increase of containerized applications in cloud environments has highlighted the critical need for efficient resource management and energy optimization. This article extends our previous work with an aim to enhance the performance of cloud systems. We propose an Extended Directed Container Placement (E_DCP) mechanism, a novel approach designed to enhance container placement efficiency in cloud systems when the number of container increases significantly. Leveraging the Whale Optimization Algorithm (WOA), the mechanism utilizes a scoring mechanism to evaluate various solutions with an aim to identify the best among them. By optimizing multiple objectives, including search time, resource utilization and energy efficiency, the mechanism achieves superior outcomes in heterogeneous and homogeneous cloud infrastructures in comparison to recent methods. The mechanism optimizes this solution to minimize overutilized physical machines. Extensive simulations demonstrate significant improvements in search time and resource utilization with acceptable energy consumption level.