Optimal distribution of applications in a server center

Nowadays, the number of server farms is exploding in many parts of the world. This is damaging the environment since it leads to significant carbon emissions, requires a lot of water for cooling, increases electromagnetic pollution and leads to the destruction of more and more natural habitats. This growth cannot be stopped and with the spread of artificial intelligence, many more server resources will be needed around the world. Our research aims to help optimise these resources. The distribution of applications between servers usually happen manually, but various orchestration solutions (Docker Swarm, Kubernetes), already provide this step automatically. Our research investigates their distribution efficiency and compares it with our own solution to estimate the resource requirements of open source softwares using machine learning. Since the mentioned orchestration tools do not perform this kind of estimation, our research provides new results in this area.