Using Alternating Decision Treets in Multi-Leveled Hierarchical Cloud Based System

Cloud platforms are an essential part of modern world. Used in all kind of fields, from education to science, they became inseparable from information technologies and computing sphere. However the problem of performance optimization still exists and is not entirely solved even today. With introduction of machine learning and artificial intelligence this task became easier to solve. This paper presents a way to utilize decision trees to control performance of a computational system and to balance load on different nodes in attempt to increase quality of service.