{"title":"An Microservices-Based OpenStack Monitoring System","authors":"Hongbin Wang, Xiaoxuan Zhang, Zhiqiang Ma, Lei-Yi Li, Jing Gao","doi":"10.1109/ICEIT54416.2022.9690713","DOIUrl":null,"url":null,"abstract":"As the number of service clusters in the OpenStack Cloud Platform, the work-load in the data center also increase, leading to node failures and performance issues. Therefore, managers need to know how the OpenStack cloud platform is operating and storing. This function can be realized through the monitoring system, and the monitoring can improve the quality of cloud computing services and also help to identify faults within the system. The purpose of this paper is to provide a solution for the monitoring of cloud computing services, that allows users and managers to optimize computing resources based on the changing business requirements within the cloud computing system. First of all, the functions of the OpenStack cloud monitoring system are introduced to mainly include the functions of OpenStack data collection, data processing, analysis, display, and alarm notification. Secondly, the system is mainly composed of components such as OpenStack-exporter, Libvirt, Ceph-exporter and Grafana. Finally, the existing issues of the Open-Stack cloud platform monitoring system are discussed.","PeriodicalId":285571,"journal":{"name":"2022 11th International Conference on Educational and Information Technology (ICEIT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Educational and Information Technology (ICEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEIT54416.2022.9690713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As the number of service clusters in the OpenStack Cloud Platform, the work-load in the data center also increase, leading to node failures and performance issues. Therefore, managers need to know how the OpenStack cloud platform is operating and storing. This function can be realized through the monitoring system, and the monitoring can improve the quality of cloud computing services and also help to identify faults within the system. The purpose of this paper is to provide a solution for the monitoring of cloud computing services, that allows users and managers to optimize computing resources based on the changing business requirements within the cloud computing system. First of all, the functions of the OpenStack cloud monitoring system are introduced to mainly include the functions of OpenStack data collection, data processing, analysis, display, and alarm notification. Secondly, the system is mainly composed of components such as OpenStack-exporter, Libvirt, Ceph-exporter and Grafana. Finally, the existing issues of the Open-Stack cloud platform monitoring system are discussed.