Our approach consists of three primary components:
The concept of Distributed Service Objects (DSO) has been gaining traction in recent years as a promising approach to building scalable and flexible software systems. However, as the adoption of DSOs increases, so does the complexity of managing and orchestrating these objects. This paper proposes a novel approach to DSO management, dubbed "Crazier by the Dozen," which leverages machine learning and artificial intelligence to optimize DSO deployment, scaling, and performance. We present the design and implementation of our approach, highlighting its benefits and challenges, and demonstrate its effectiveness through a series of experiments. dso crazier by the dozen