Fault Tolerant and Reliable Resource Optimization Model for Cloud
Righa Tandon, Ajay Verma, P. K. Gupta · Auerbach Publications eBooks · 2024
The way that companies and individuals’ access and use computing resources has been revolutionized by the rapidly developing technology known as cloud computing. Cloud computing is the idea of providing computer services, such as storage, processing power, and software applications, through the internet. Scalability, flexibility, cost-effectiveness, and accessibility from any location with an internet connection are just a few advantages that cloud computing offers. Public, private, and hybrid clouds are the three primary subcategories of cloud computing models. Private clouds are only used by one specific organization, while hybrid clouds incorporate aspects of both public and private clouds. Public clouds are owned and controlled by third-party companies. A fault-tolerant and trustworthy resource optimization paradigm for cloud computing settings is covered in this book chapter. The approach seeks to increase cloud resource allocation effectiveness while preserving the system’s high availability and fault tolerance. Based on demand characteristics, service-level agreements (SLAs), and system availability, the model dynamically allocates resources using a combination of predictive analytics, optimisation algorithms, and fault-tolerant mechanisms. In order to guarantee that the system continues to function even in the case of hardware or software failures, the model also includes fault-tolerant methods such as redundancy and failover. Simulation studies used to test the usefulness of the proposed model show that it can increase resource utilization, decrease downtime, and guarantee the dependability of cloud-based services. For cloud service providers, IT administrators, and researchers working in the field of cloud computing, the model is anticipated to be helpful.