An Microservices-Based OpenStack Monitoring System

Hongbin Wang, Xiaoxuan Zhang, Zhiqiang Ma, Lei-Yi Li, Jing Gao
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于微服务的OpenStack监控系统
随着OpenStack云平台中业务集群数量的增加,数据中心的工作负载也随之增加,导致节点故障和性能问题。因此,管理人员需要了解OpenStack云平台的运行和存储情况。这个功能可以通过监控系统来实现,监控可以提高云计算服务的质量,也可以帮助发现系统内部的故障。本文的目的是为云计算服务的监控提供一种解决方案,使用户和管理人员可以根据云计算系统中不断变化的业务需求来优化计算资源。首先介绍OpenStack云监控系统的功能,主要包括OpenStack的数据采集、数据处理、分析、显示、告警通知等功能。其次,系统主要由openstack -export、Libvirt、ceph -export、Grafana等组件组成。最后,对开放式云平台监控系统存在的问题进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Personalized Recommendation of Learning Resources Based on Knowledge Graph An Microservices-Based OpenStack Monitoring System Benefits, Challenges and Solutions of Artificial Intelligence Applied in Education T.A.L.A Goal Setting Life Skills Learning Approach on the Meta-Empirical Competence and Academic Performance of Diverse Learners A Corpus-Based Sampling to Build Training Data Set for Extracting Japanese Sentence Pattern
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1