Presentation of the PaaS System State for Planning Containers Deployment Based on ML-Algorithms

In modern world one of the most important technologies is virtualization. And one of the most promising types of virtualization is OS-level virtualization, also known as containerization. Its use greatly simplifies the task of deploying stable computing system services that are performed on suitable hardware depending on the current situation.Various additional tools are used to automating the process of managing the location of the containers.However, most existing container management tools provide only the simplest behaviors. One of the more complex tasks that cannot be solved by such tools can be represented as follows: there are several virtualized entities (containers) that can be executed on cluster nodes. Each entity contains a task that consumes a certain amount of computing resources. It is necessary to distribute entities among nodes in such a way that each of them has enough resources.This paper proposes a more complex methodology that solves the proposed problem of service management using machine learning methods.