Model control of traffic by using data flows classification of the cloud applications in software-defined infrastructure of virtual data center

Abstract

In the present work, we developed approaches for effective control of traffic flow in the virtual data center, based on the methods used in the data mining and machine learning to more accurately classify and identify streams of cloud-based applications and network services.