DESIGN AND OPTIMIZATION TECHNIQUES FOR FAULT TOLERANCE IN CLOUD COMPUTING

Cloud computing is a strong framework that helps individuals and organizations to acquire the care they deserve. Several more services are provided by the framework, including storage, deployment systems, and easy access to web services. Load balancing is a frequent problem in the cloud that makes it difficult to guarantee the reliability of apps adjacent to the QoS measurement and adhering to the SLA document as required from cloud services to companies. Cloud providers struggle to evenly distribute workload among servers. An effective LB method should optimize and achieve optimum user satisfaction by making better use of VM resources. Green loud computing has been shown to be an effective method for lowering energy use for data storage on clouds. An ant colony optimization ACO method is used to effectively construct cloud services. In this job, overburdened VM jobs and moved to another virtual machine for successful performance using the ACO method. The study findings demonstrated unequivocally that ACO based task scheduling in the cloud outperforms traditional methods by a time and cost saving of 18% to 20%.