Desing Of Clould Computing Resource Pool Management Platfotm And Implementation

Cloud computing has massive storage and efficient computing power, played an increasingly important role in the process of social development. Continuous development and innovation, cloud computing becomes a kind and lives quantifiable resources. It is a new commodity, allowing each user to benefit under the influence of cloud computing. Cloud computing resource pool as a set of resources, with resource sharing, on-demand, dynamic expansion, standard services, automated management features, by the management of the resource pool can complete the demand for resources, sharing of resources and IT support systems by should be allocated, reduce operating costs, improve management efficiency. Compared to traditional computing centers, cloud computing resource pool management platform has a low construction cost, scalable pool of resources that can improve IT resource management and deployment automation level, improve market responsiveness of IT systems and other advantages.This paper describes the concept of cloud computing platforms and cloud computing platform, the overall architecture, comparing various types of cloud computing resource pool design, analysis select the appropriate option. And then design the overall architecture of cloud computing platform and resource pools system module, focusing achieve computing resources and storage resources module module introduces cloud computing resource pool data detection system interface management and resource pool of system resources. Used in the design and implementation process of the virtualization technology, massive distributed storage technology and resource management and scheduling techniques, through comparative analysis, combined with a large number of documents and business case come to a reasonable solution.The last test OA response time, CPU and network flow indicators, verification of cloud computing resource pool management platform design cloud province when proposed, efficiency and resource allocation is reasonable.