Abstract: Overall process of computation is in such a way that could be assumed as the 5th basic element after water, electricity, gas and telephone. In such situations, users try to access services based on their needs, regardless of their location and or how they are delivered. Cloud management software provides the ability of error management, configuration, accounting, performance and security. In this project, we want to evaluate types of security concepts in clouds computing, architecture of cloud management cloud challenges in related managerial-security problems and cloud security standards. Cloud computing supports effective strategies for IT services. It is not considered a new technology but it is a modern method to present computational resources and a model for service providing by internet. First, we present an overall introduction of cloud computing, service management and overview of the research then available problems and challenges and also importance of the research was realized. An integrated Fuzzy System is used and head clusters are determined based on a Fuzzy System so that our inputs cause improvement of cloud computing process using migration factors in a Fuzzy System including their traffic volume, processing power and bandwidth capacity for data processing. Finally, goals of the research were identified. In this thesis, we categorized new servers of cloud systems into 3 classes using immigration concepts: strong, medium and weak. Whenever immigration factors change in smart system, the server will change based on those features. Cloud computing servers share and connect information such as website traffic on entire network; sometimes it is introduced as an internet service. We found out that cloud computing costomers are not obliged to pay for management, installation and maintenance of their control traffic service but they must only invest on their time and cost for web development then they simply pay for resources required for the web. Cloud computing is responsible for system engineering in times of traffic peaks dividing it between several resources to perform ultimate speed and efficiency.