Enhancing Quality of Service in Cloud Computing: A Comprehensive Review of Techniques and Challenges

Abstract

The rapid growth of cloud computing has revolutionized data storage, application hosting, and resource management, making it a cornerstone of modern digital infrastructure. However, the adoption of cloud services introduces critical challenges related to performance optimization, Quality of Service (QoS), and security. This literature review aims to explore various strategies that have been proposed to improve cloud computing performance while maintaining high QoS standards and robust security measures. The review delves into techniques such as dynamic resource allocation, virtualization, load balancing, and traffic management to enhance system efficiency and scalability. It also examines encryption protocols, authentication mechanisms, and intrusion detection systems aimed at fortifying cloud security. By analyzing current research, this review highlights the trade-offs between performance and security, offering insights into how emerging technologies such as machine learning, blockchain, and edge computing are being integrated to strike a balance. The findings provide a comprehensive understanding of the existing frameworks and future directions for optimizing cloud performance without compromising on QoS and security requirements.