C Kesava Reddy 01 01 Having focused on the maximum utilization of resources reducing the execution time and improving theoperational efficiency of the system in general this paper surveyed and analysed the approaches to the servicebasedscheduling of tasks in cloud computing environments The effectiveness of the various scheduling methods includingheuristicbased metaheuristicbased and machine learningbased scheduling in dynamic workload and various kindof resources will be explored The paper highlights critical considerations during the design of an algorithm such asthe priority of the tasks time limit constraint and affordability Comparative evaluations have shown that adaptiveand smart scheduling techniques dynamically assigning work to appropriate virtual machines are better thantraditional static algorithms in terms of scalability fault tolerance and performance aspects Its outcomes allow theprovision of enhanced service provision and user satisfaction by providing opportunities regarding the selection andformulation of suitable methods of schedule to meet diverse quality of service QoS requirements in cloudsinfrastructures Copyright (c) Journal of Engineering Technology and Sciences. All rights reserved 2026