Optimizing Cloud Networks with Artificial Intelligence: Techniques and Strategies

Abstract

The integration of artificial intelligence (AI) into cloud networks represents a pivotal advancement in modern computing, offering novel techniques and strategies to optimize network performance, security, and management. This paper explores the various ways in which AI can enhance cloud networking, including dynamic resource allocation, predictive maintenance, automated threat detection, and intelligent traffic management. By leveraging machine learning algorithms and advanced analytics, AI-driven solutions provide significant improvements in scalability, efficiency, and resilience of cloud networks. Additionally, this paper addresses the challenges associated with AI integration, such as data privacy, computational demands, and interoperability, and proposes potential strategies to overcome these obstacles. Through a comprehensive examination of current advancements and future directions, this paper aims to highlight the transformative potential of AI in optimizing cloud networks.