Strongly promoted by the leading industrial companies, cloud computing becomes increasingly popular in recent years. Cloud Computing allows us to abstract distributed elastic IT resources behind an interface that promotes scalability and dynamic resource allocation. The terminology applied to this kind of processing, when describing shared resources, Such resources are available on demand and at a significantly lower cost compared to self-delivery of individual components. The spread of the cloud computing will be beneficial to the development of our society. But multi-users, the fundamental environment may lead to many problems when the cloud computing system is being setting up. The purpose of this paper is to discuss various forms of mapping cluster topology requirements into Cloud environments to achieve higher reliability and scalability of application executed within Cloud resources and enabling the scheduler to maximize CPU utilization while remaining within the constraints imposed by the need to optimize user Quality of Service (QOS).