Cloud computing is the Internet based approach to scale the resources up or down as required dynamically, popular for its elasticity property. In general, scheduling is done at 2 levels,during tasks to virtual machine allocation and virtual machine to physical machine allocation. The consumers request the resources based on their requirement of their applications. If there is a need for an application to use the resource aggressively but only for particular period of time (seasonal usage of resources) then we can provision the resources from the cloud on pay -per-usage basis. In data centers when the request for the resources are very large, then a scheduling technique for provisioning the resources from the physical machines to the virtual machines according to the consumer’s requirement must be implemented so as to increase the performance and availability of the resource and to minimize the cost of using it. Both the providers and consumers must be benefitted by the resources on cloud environment. By utilizing the resources optimally, power consumed can also be reduced thereby saving the revenue for both the providers and consumers of the cloud. Scheduling is done based on energy consumption, bandwidth utilization, following SLA, virtualization techniques, cost optimization and load balancing. The survey lists the various scheduling algorithms used to schedule the resources as per the user demand and their performance in datacenters. © 2016, International Journal of Pharmacy and Technology. All rights reserved.