The construct of cloud computing has not only remolded the field of the distributed system but also essentially changed how business potentiality expands today. In late furtherance, cloud computing applications allow for as servicing to end- users. The applications services hosted under Cloud computing role model have composite provisioning, configuration, and deployment essentials. How to utilize Cloud computing resources expeditiously and attain the uttermost winnings and efficient use of resources is one of the Cloud computing service supplier ultimate goals. Repetitious valuation of the performance of Cloud provisioning policies, application workload framework, and resources performance frameworks in the active system is difficult to accomplish and instead a time consuming and costly approach. To defeat this challenge, cloud analyst simulator based on CloudSim has been projected which enables the modeling and simulation in the cloud atmosphere. The aim of this paper is to prove that the choice of VM Scheduling Policy in Cloud computing framework importantly improves the application performance under resource and service demand fluctuation. Hence We will discuss different Virtual machine(VM) Scheduling Policies implemented and their performance analysis in the virtual environment of cloud computing in order to achieve better Quality of Service(QoS).