The Cloud Computing Technology is everywhere. With the Significant advances in Information and Communication Technology, Cloud computing technology is taking a large space in IT Industry. In Simple terms Cloud Computing can be depict as means of storing and accessing data and program over internet instead of your computer’s hard drive. Cloud Computing provides on demand selfservice, Resource Pooling and Unambiguous network access. Scheduling is the task where the work specified by some means is assigned to certain resources that complete the work. The resources may be CPU time, IO devices, and many more. Different Schedulers are implemented to achieve load balancing, share system resources effectively, or to achieve quality of service. Scheduling of task and resources maximizes throughput , minimizes response time, minimize latency and maximizing fairness i.e. equal CPU time and workload for each process. Scheduling can be categorized as resource scheduling, task scheduling and workload scheduling. Task scheduling is the main concern in this paper. The objective of this study is to optimize workload utilization and task scheduling in cloud computing environment. This paper outlines a comparative study that has been done to assess these Scheduling models on the cloud environment.
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