Research Of Unified View And Monitor In Electric Power Cloud Computing Resources

With the rapid development of computer science and technology,communication technology and Internet technology, information resources hasbecome the subject of a new information age. At the same degree of interconnectedpower systems is also growing across the country, currently, each grid company’sinformation systems architecture exists a complex, low operation and maintenanceefficiency problem [2]. Standards and norms existing IT infrastructure is not perfect,remote IT infrastructure is not uniform, existing in the various application systemsare configured according to their business needs hardware and software resources,heterogeneous hardware and software in the engine room flooded, resulting ininformation system software and hardware resource utilization is not sufficient,deployment, operation and maintenance of high complexity, personnel consumption.The ultra-large-scale cloud computing through virtualization, integration of softwareand hardware resources can be achieved with centralized management, unifieddistribution characteristics for specific applications, centralized tuning; within aunified information system architecture and its company-wide deployment, operationand maintenance management approach.Therefore, this study will combine existingtechnologies and cloud computing virtualization technology applications in the powersystem, from the perspective of the resource provider to study a simulated powersystem state data center network resource manager for the provincial network of datacenter resources at all levels resource monitoring system performance.Firstly, cloud computing and virtualization to learn the basics and build Hadoopcloud computing platform, virtualization cloud computing resources platformarchitecture research.Then, the overall modular design and modeling of cloudcomputing resources. Based on multi-platform, multi-vendor resources to build aunified model of cloud computing resources, in order to unify the model as a basis forresource monitoring system of heterogeneous storage resources.Finally, the in-depthstudy of open source distributed monitoring tools ganglia, improved tools for the prosand cons of the final design for analog power of cloud computing resourcemonitoring system, making the country the network data center resources managerscan be more than one province network data resource centers linked to the data centeracross physical boundaries, form the overall power enterprise private cloud.