Using the ML-based architecture for adaptive containerized system creation
Mikhail M. Rovnyagin, Anna V. Guminskaia, Alexey A. Plyukhin, Aleksandr P. Orlov, Fedor N. Chernilin, Alexander S. Hrapov · 2018
Most of today's applications are built on a micro-service architecture, where one large application is divided into several differently functional parts. Each part is packaged in an isolated container with its own file system, process space and IP address. Contemporary container management tools implement only the simplest strategies for placing containers in cluster systems. In this paper, we propose a method for constructing adaptive containerized infrastructures using machine learning methods. The paper also describes the methodology for designing distributed systems with containers of different types: data-intensive and compute-intensive.