Intelligent power monitoring and management for enterprise servers

K. Vaidyanathan, K. Gross
{"title":"Intelligent power monitoring and management for enterprise servers","authors":"K. Vaidyanathan, K. Gross","doi":"10.1109/E3S.2013.6705857","DOIUrl":null,"url":null,"abstract":"Monitoring the dynamic power utilization of enterprise computer servers in large-scale data centers is a non-trivial undertaking. Real-time power monitoring is essential for power management and intelligent cooling provisioning and is motivated by the fact that the energy costs for many classes of servers now exceeds the initial hardware costs for the servers. The conventional approach for dynamic power monitoring requires installing hardware Power Distribution Units (PDUs) for all the servers in a datacenter, which is tedious and costly when newer data centers house up to thousands of servers. PDUs require more space in densely cramped data centers, require disruption of business-critical servers (in existing data centers) for attachment to the PDUs, and diminishes overall data center reliability (additional layer of hardware in series with the servers that can degrade in service). Oracle has introduced an innovation called Intelligent Power Monitoring (IPM), which provides accurate, real-time power utilization for servers as a function of customer load fluctuations, fan speed variations, dynamic reconfiguration events under virtualization tiers, failover events for redundant power supplies, and during times when power management features in the CPUs are performing power-capping and/or thermal-capping roles.","PeriodicalId":231837,"journal":{"name":"2013 Third Berkeley Symposium on Energy Efficient Electronic Systems (E3S)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third Berkeley Symposium on Energy Efficient Electronic Systems (E3S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/E3S.2013.6705857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Monitoring the dynamic power utilization of enterprise computer servers in large-scale data centers is a non-trivial undertaking. Real-time power monitoring is essential for power management and intelligent cooling provisioning and is motivated by the fact that the energy costs for many classes of servers now exceeds the initial hardware costs for the servers. The conventional approach for dynamic power monitoring requires installing hardware Power Distribution Units (PDUs) for all the servers in a datacenter, which is tedious and costly when newer data centers house up to thousands of servers. PDUs require more space in densely cramped data centers, require disruption of business-critical servers (in existing data centers) for attachment to the PDUs, and diminishes overall data center reliability (additional layer of hardware in series with the servers that can degrade in service). Oracle has introduced an innovation called Intelligent Power Monitoring (IPM), which provides accurate, real-time power utilization for servers as a function of customer load fluctuations, fan speed variations, dynamic reconfiguration events under virtualization tiers, failover events for redundant power supplies, and during times when power management features in the CPUs are performing power-capping and/or thermal-capping roles.
企业服务器智能电源监控与管理
监控大型数据中心中企业计算机服务器的动态电源利用率是一项非常重要的工作。实时电源监控对于电源管理和智能冷却供应至关重要,其动机是许多类别服务器的能源成本现在超过了服务器的初始硬件成本。动态电源监控的传统方法需要为数据中心中的所有服务器安装硬件配电单元(pdu),当较新的数据中心容纳多达数千台服务器时,这种方法既繁琐又昂贵。pdu在拥挤的数据中心中需要更多的空间,需要中断业务关键型服务器(在现有数据中心中)以连接到pdu,并且降低了数据中心的整体可靠性(与服务器串联的额外硬件层可能会降低服务质量)。Oracle推出了一项名为智能电源监控(IPM)的创新技术,它可以根据客户负载波动、风扇速度变化、虚拟化层下的动态重新配置事件、冗余电源的故障转移事件,以及cpu中的电源管理功能执行功率封顶和/或热封顶角色时的情况,为服务器提供准确、实时的电源利用率。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信