An Efficient Serverless-VM Switching Mechanism for Cloud Cost Optimization

This research introduces an efficient switching mechanism between serverless architecture and traditional Virtual Machines within a cloud environment. Serverless computing, especially Function-as-a-Service, is gaining prominence due to its scalability, flexibility, and cost-effectiveness. This study presents a methodology that leverages the strengths of both serverless architecture and VMs to minimize operational costs and optimize performance. In this paper, to combines the benefits of serverless computing and VMs to enhance the utilization of cloud resources for switching mechanism. The algorithm promotes efficient resource allocation based on various metrics, including traffic load, cost, and execution time. Additionally, we employ a PID controller for facilitating seamless transitions between serverless and VM environments. Through in-depth analysis using large-scale data processing scenarios, we demonstrate how adopting a serverless architecture can lead to cost savings and improved resource utilization.