Research And Implementation Of Resource Monitoring Technology Based On Cloud Computing Platform

In recent years,cloud computing has developed rapidly.It has integrated infrastructure and different types of resources through virtualization technology to increase their usage.As the scale of the cloud computing platform becomes larger,the management and deployment of its resources have become more complicated.In order to reflect the status of its operation and the quality of service,the monitoring system has played a very important role.The resources under the cloud computing platform are virtualized and flexible.Therefore,in addition to monitoring the resources of the physical servers,it is particularly important to monitor the virtual machines and virtual resources running on them.Current problems that the resource monitoring system presents include: 1)Current monitoring systems are only for physical resources,while others are applicable to virtual resources.2)Monitoring is not comprehensive,and some monitoring systems can only monitor resources at a certain service level in the cloud computing platform.3)Monitoring system monitoring method is not scalable.4)The current cloud computing platform monitoring system adopts a hybrid hybrid push-pull data transmission model,but its application scenario can also be improved.The main work of this paper is as follows:This paper first analyzes the service level of the cloud computing platform,abstracts the monitoring objects at each service level,and clearly establishes service-oriented resource monitoring.Then this paper proposes a resource monitoring system based on cloud computing platform based on the REST architectural style.The monitoring system can monitor and expand all resources under the cloud computing platform,and can be provided according to the service requirements of different users.Different monitoring data.Secondly,based on the analysis of the three-tier service level of the cloud computing platform,and for the collection objects of the virtual system and physical system under different service levels of the cloud computing platform,the data collection method and the design of the monitoring agent are given,and the specifics are given.Workflow.Finally,based on the collected monitoring data,after analyzing the traditional hybrid push-pull model,the limitations of its application environment were found,its application methods were improved,and a graph-based cloud computing platform monitoring data transmission method was proposed.Figure hybrid push-pull parallel data transmission method.This article implements the prototype of the monitoring system,builds the Hadoop distributed computing platform on the PaaS layer,and monitors the resources in the Hadoop distributed computing environment provided by the PaaS layer.The system prototype includes a data monitoring module and a data transmission module.