Cloud Computing Fault Tolerance

Abstract

Fault tolerance is an important part of cloud computing because it makes sure that services will still be available and reliable even if there is a problem with the hardware, software, or network. The paper talks about a number of different models and strategies for fault tolerance that are used in cloud computing. We look at many important ideas in depth in a literature study. Some of these are redundancy, replication, consensus methods, checkpointing, and failover techniques. As the review pointed out, these methods are used by major cloud service providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to keep data safe and offer high availability. We talk about new ideas like serverless computing, microservices architecture, and the use of machine learning for fault detection. We also talk about present problems like data consistency, performance overhead, security concerns, and the complexity of fault tolerance models. In the end of the paper, suggestions are made for more research, with a focus on looking into how new technologies affect fault tolerance. There needs to be more actual research to fix the problems with the secondary research, like the small range of literature that was looked at and how quickly cloud technology is growing. The results of this study can help both researchers and professional users who want to make cloud services more reliable by learning more about how to add fault tolerance techniques to cloud systems.