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A Comparative Study of Task Scheduling Metaheuristic Algorithms in Cloud Computing

Today, cloud computing is one of the fastest-growing IT areas. Cloud computing provides users with on-demand access to resources over the internet. User’s requirements are met by using the internet to reorganize physical resources, platforms, and software applications. Cloud computing’s capabilities are expanding by the day, making it a need for IT businesses. This paper solely puts forward a detailed study of these methods which are used in the more so advancing computing environment. In the cloud computing context, the adoption of excellent cloud scheduling algorithms is still an important aim. In the cloud computing era, task scheduling is crucial. During the procedure of task scheduling, users request tasks, and those are subsequently assigned to specified resources at a specific time. There are several algorithms that can provide high quality service and performance while also reducing execution time. The study’s goal is to investigate the many scheduling algorithms that are utilized in cloud computing environments, as well as to identify certain results and research gaps that may be used to improve the quality of these algorithms.