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作 者:金鹰[1] 徐光龙 JIN Ying;XU Guanglong(China Unionpay Technology Devolopment Center,Shanghai 201201,China)
出 处:《计算机应用文摘》2024年第4期96-98,101,共4页Chinese Journal of Computer Application
摘 要:IDC机房是金融行业的物理核心枢纽,随着业务及设备数据的增长,机房面临着各种各样的运维难题。文章结合机房运维实践经验,提出了一套智能运维方案。通过多个物理模块的有效结合,该方案实现了数据采集、分析及处理,不仅生成了系列有效信息报表及建议,还建立了高效的设备故障提醒、预报等智能运维机制。该机制可实时发现潜在故障,并对运行设备进行动态分析及判断以提升资源利用率,可全面代替人工巡检,从而全方位提升机房运维效果。IDC data centers are the physical core hub of the financial industry.With the growth of business and equipment,data centers face various operational and maintenance challenges.This article proposes an intelligent operation and maintenance plan based on practical experience in computer room operation and maintenance.Through the effective combination of multiple physical modules,this scheme achieves data collection,analysis,and processing.It not only generates a series of effective information reports and suggestions,but also establishes efficient intelligent operation and maintenance mechanisms such as equipment fault reminders and forecasts.This mechanism can detect potential faults in real time and dynamically analyze and judge operating equipment to improve resource utilization.It can comprehensively replace manual inspections,thereby comprehensively improving the operation and maintenance efficiency of the data center.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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