Edge Computing Based Data Center Monitoring

Longchuan Yan, Yan Li, Hu Song, Hao Zou, Lijun Wang
{"title":"Edge Computing Based Data Center Monitoring","authors":"Longchuan Yan, Yan Li, Hu Song, Hao Zou, Lijun Wang","doi":"10.1109/EDGE53862.2021.00012","DOIUrl":null,"url":null,"abstract":"With the increase of data center scale, monitoring the status of its internal running devices has become the basis of automatic operations. Traditional environmental monitoring is often based on fixed sensors with limited server racks to collect temperature and humidity data, which cannot be effectively combined with the server task scheduling and resource allocation system. In order to provide reliable services to users, a reliable and low-power data center environmental data monitoring system is needed to collect and analyze data such as temperature, humidity and smoke. This paper presents a data center monitoring system based on edge computing, which uses edge computing and wireless sensor network technology to monitor the running status of the data center. The edge device collects the environmental data in real time, and then obtains the real-time running state parameters of the server through Intelligent Platform Management Interface. By analyzing the environmental data of the data center, the energy consumption and operating parameters of the server can be monitored and adjusted.","PeriodicalId":115969,"journal":{"name":"2021 IEEE International Conference on Edge Computing (EDGE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Edge Computing (EDGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDGE53862.2021.00012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

With the increase of data center scale, monitoring the status of its internal running devices has become the basis of automatic operations. Traditional environmental monitoring is often based on fixed sensors with limited server racks to collect temperature and humidity data, which cannot be effectively combined with the server task scheduling and resource allocation system. In order to provide reliable services to users, a reliable and low-power data center environmental data monitoring system is needed to collect and analyze data such as temperature, humidity and smoke. This paper presents a data center monitoring system based on edge computing, which uses edge computing and wireless sensor network technology to monitor the running status of the data center. The edge device collects the environmental data in real time, and then obtains the real-time running state parameters of the server through Intelligent Platform Management Interface. By analyzing the environmental data of the data center, the energy consumption and operating parameters of the server can be monitored and adjusted.
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
基于边缘计算的数据中心监控
随着数据中心规模的不断扩大,监控其内部运行设备的状态已成为数据中心自动化运行的基础。传统的环境监测往往是基于固定的传感器和有限的服务器机架来采集温湿度数据,无法与服务器任务调度和资源分配系统有效结合。为了给用户提供可靠的服务,需要一个可靠的、低功耗的数据中心环境数据监测系统来采集和分析温度、湿度、烟雾等数据。本文提出了一种基于边缘计算的数据中心监控系统,利用边缘计算和无线传感器网络技术对数据中心的运行状态进行监控。边缘设备实时采集环境数据,然后通过智能平台管理接口获取服务器的实时运行状态参数。通过分析数据中心的环境数据,可以监控和调整服务器的能耗和运行参数。
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
A Framework for Analyzing Resource Allocation Policies for Multi-Access Edge Computing Distributed Online Resource Scheduling for Mobile Edge Servers Towards Sustainable Satellite Edge Computing Mobile Edge Data Cooperative Cache Admission Based on Content Popularity Data Sharing-Aware Task Allocation in Edge Computing Systems
×
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