Adaptive decision making in multi-cloud management

Abstract

The more cloud providers in the market the more information users have to handle to choose the best and suitable option for their application or business. The diversity in cloud services is a challenge for automated decision making in the multi-cloud environment. These decisions become more complex when the application's requirements and the application owner's constraints need to be satisfied throughout the application life cycle. This paper presents the concept of an Adaptive Decision Making Broker (ADMB) for multi-cloud management. ADMB aims to provide multi-criteria decision making using machine learning in a multi-cloud environment. In this context, we believe that our proposed methodology has the potential to provide optimal solutions as well as handle trade-offs between the functional and the non-functional requirements of given application.