Edge AI in Cloud Computing for Sustainable Development

Abstract

This chapter explores the integration of applied artificial intelligence (AI), machine learning (ML), and edge computing in cloud environments, with a focus on leveraging these technologies for sustainable development. The first part of the thesis investigates the enhancement of cloud computing through the application of AI and ML techniques. The second part delves into the emerging paradigm of Edge AI in cloud computing, which examines the integration of AI and ML capabilities at the network edge to enable real-time analysis and decision-making. The thesis highlights the importance of sustainable development in cloud computing, emphasizing the need for energy-efficient and environmentally conscious solutions. Through comprehensive experimentation and analysis, this research contributes valuable insights into the development of sustainable cloud architectures and strategies. The findings provide a roadmap for organizations and researchers to leverage the synergistic potential of AI, ML, and edge computing, driving advancements in cloud technology for sustainable development.