A COMPREHENSIVE REVIEW OF AI-DRIVEN OPTIMIZATION, RESOURCE MANAGEMENT, AND SECURITY IN CLOUD COMPUTING ENVIRONMENTS
Sanjeewa Ratnayake
Department of Computer Science, University of Ruhuna, 21 Galle Road, Wellamadama, Matara, 81000, Sri Lanka.
Abstract
The rapid expansion of cloud computing has necessitated innovative approaches to optimize
resource management, enhance security, and improve overall system performance. Artificial Intelligence
(AI) has emerged as a powerful tool in addressing these challenges, providing adaptive, predictive, and
autonomous capabilities across various cloud domains. This paper presents a comprehensive review of
AI-driven techniques in cloud computing, focusing on optimization, resource allocation, security, fault
tolerance, and performance enhancement. The integration of machine learning, neural networks, deep
learning, and reinforcement learning within cloud environments offers significant improvements in scala-
bility, efficiency, and resilience. AI-based resource management strategies, such as dynamic load balancing,
predictive workload forecasting, and autoscaling, enable cloud systems to better handle varying demands
while minimizing costs and energy consumption. Additionally, the application of AI in security—ranging
from threat detection to intrusion prevention—has proven critical in safeguarding cloud infrastructures
against increasingly sophisticated cyberattacks. The review further explores advanced AI-driven approaches,
such as fuzzy logic, reinforcement learning, and hybrid deep learning frameworks, to optimize energy
efficiency and quality of service (QoS) in cloud systems. By examining the latest research and technological
developments, this paper highlights the transformative impact of AI on cloud computing and identifies key
areas for future exploration. The findings underscore the importance of AI in advancing the next generation
of cloud services, ultimately enhancing their adaptability, security, and performance. This paper serves as a
valuable resource for researchers, practitioners, and stakeholders aiming to harness AI’s potential in cloud
computing.
