Cloud computing, Fuzzy Logic, Scheduling, Waiting time, Turnaround time.

Cloud computing is a viable solution for infrastructure services in distributed applications with the primary goal of optimizing resource utilization. Cloud infrastructure services may offer thousands of resources to complete a single operation. Appropriate resource scheduling results in optimal usage and an improvement in the service provider's QoS. In this work, a fuzzy logic-based technique is used and then an efficient algorithm for scheduling resources is introduced. Implementation of the proposed approach and its efficacy is tested through the Cloudsim and MATLAB tools. The proposed technique's waiting and turnaround times were compared with prominent algorithms SJF and FCFS. The simulation findings are remarkable, when it is compared with turnaround time and waiting time of existing algorithms. The proposed approach has an improvement of 80% in waiting time and 17% in turnaround time.