Mechanisms for Ensuring Fault Tolerance in Cloud Networks: Detailed Case Studies and Comparative Analysis

Abstract

Ensuring fault tolerance in cloud networks is paramount for maintaining high availability and reliability of services. This abstract explores various mechanisms employed to achieve fault tolerance in cloud environments through detailed case studies and a comparative analysis. The study examines redundancy strategies such as data replication, load balancing techniques, fault-tolerant architectures like microservices and containerization, and disaster recovery frameworks. By analyzing real-world case studies and comparing different approaches, this research provides insights into the effectiveness, challenges, and trade-offs of each mechanism. The findings aim to guide cloud architects, IT professionals, and decision-makers in selecting and implementing robust fault tolerance strategies tailored to their specific operational needs and requirements.