Implementation of Generative AI in Resource Management of Cloud Computing

Virtual computing however has recently emerged as the new way of accessing computing resources and services through the internet. In this regard scheduling algorithms holds a prominent position which would determine the cumulative use of the resources as well as the efficiency of the entire system. In this paper, the author's aim is to assess and compare various forms of the scheduling algorithms used in cloud computing systems. Some of the basic scheduling techniques include the First-in First-out (FIFO), Shortest Job First (SJF), Round Robin (RR), Priority Scheduling and few more complex scheduling techniques include the Multilevel Feedback Queues and the Shortest Timed Remaining (SRTF). Every one of them is described, compared and contrasted over this criterion:, including characteristics, strengths, weaknesses, and applications. In this section we present how scheduling decisions impact primary performance measures of response time, throughput, and user-to-user sharing criterion. Further, we present the ongoing issues and further research areas in the case of scheduling algorithms for cloud computing environment while elucidating the recent advancements in a cloud services and applications along with. It becomes beneficial for the system designers, cloud service providers as well as for the researchers to lift the efficiency of operation in cloud computing with the help of scheduling.