Research And Implementation Of Open Source Cloud Platform Monitoring Visualization And Resource Allocate

With the rapid development of cloud computing and application of the cloud platform, open source platform based construction belongs to the enterprise’s own cloud platform has become the current hot. However, in the construction of enterprise cloud platform, due to the diversification of open source cloud platform and the different standards, although the enterprise application can easily deploy on the cloud platform, but because of the application of operational monitoring and resource efficient use of such problems as the lack of effective means of management, often caused a large number of cloud platforms and cloud platform maintenance difficult issues. This thesis is aimed at the above problems, based on CloudFoudary V2 open source technology to build a cloud platform, and research and implementation of the open source cloud platform based on the visualization monitoring system and resource deployment technology, to protect the daily operation and maintenance of the cloud platform, to achieve the goal of cloud platform self management, self warning and resource reasonable allocation.According to the technical characteristics of CloudFoundary V2 open source cloud platform and the research and analysis of the industry mainstream monitoring means, this thesis first studies and analyzes the Manager Health, which is the core component of resource monitoring and management system in CFv2. On this basis, the main requirements of the open source cloud platform visualization monitoring system are analyzed, and the main function points are summarized. The system through the guarantee of operation on the cloud platform of monitoring nodes of each node is no downtime; by running on each node monitoring applications to protect the user use cloud platform resources reasonable and efficient by running the examples in each node monitoring with cloud platform resource allocation technology instance completes automatic telescopic; by running in the cloud platform log monitoring implementation of the cloud platform error alarm and error tracking.Through the system to ensure the daily operation and maintenance of the open source cloud platform, strengthen the monitoring of the cloud platform to enhance the intensity of the cloud platform to improve the robustness and efficient use of its platform resources.