Chaurasia, P.Nath, S.B.Addya, S.K.Ghosh, S.K.2026-02-0620222022 14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022, 2022, Vol., , p. 739-743https://doi.org/10.1109/COMSNETS53615.2022.9668432https://idr.nitk.ac.in/handle/123456789/30043With the ubiquitous usage of cloud computing, the services are deployed as a virtual machine (VM) in cloud servers. However, VM based deployment often takes more amount of resources. In order to minimize the resource consumption of service deployment, container based lightweight virtualization is used. The management of the containers for deployment is a challenging problem as the container managers need to consume less amount of resources while also catering to the needs of the clients. In order to choose the right container manager, we have proposed an architecture based on the application and user needs. In the proposed architecture, we have a machine learning based decision engine to solve the problem. We have considered docker containers for experimentation. The experimental results show that the proposed system can select the proper container manager among docker compose based manager and Kubernetes. © 2022 IEEE.ContainersDocker ComposeKubernetesService Deployment