Autonomous monitoring of data centre operations

数据中心运营自主监控

• 批准号: 500720-2016
• 负责人: Zheng, Rong
• 金额: $ 14.14万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=669813
• 关键词: Autonomous; monitoring; data; centre; operations

The computing needs of our society, much of these performed in data centres (DCs), double every five years. However, despite their increasing productivity, DCs are fraught with (1) high capital costs for establishment, and (2) high operating costs due to inefficient energy usage. The high costs arise from the widespread industry practice of over-design and over-provisioning stemmed from the fact that operators do not have real-time visibility of the metrics of performance, e.g., utilization percentage and energy consumption, or health conditions, e.g., indicators for imminent faults and failures, of the various components within their facilities. The primary bottleneck in enabling real-time visibility is that each facility consists of thousands of components, which differ by vendors, design and operating principles. Herein, we will develop three enabling technologies towards a universal platform for monitoring DC operations with minimal human intervention, namely, (1) inexpensive monitoring hardware modules that can record and wirelessly transmit health conditions and performance metrics of various components in a DC, (2) wireless networking protocols for real-time communications of monitoring data and commands, (3) algorithms for fully autonomous monitoring and diagnosis enabled by the real-time data collected and computational efficient thermal modelling. These technologies will allow DC operators to (1) adaptively optimize its operations, and (2) predict and trigger maintenance efforts to minimize service interruptions. The technologies will be translated into a holistic data centre infrastructure management (DCIM) product line by our partner, Cinnos Mission Critical Incorporated (CMCI, www.cinnos.com), a fast growing young Canadian company. CMCI will perform extensive beta testing with lead customers synergistically with our efforts, and provide valuable feedback to steer the technology development towards maximum commercial impact. In addition to creating jobs and new sources of revenue for our industry partner, a natural and noteworthy consequence is the significant reduction in energy consumption of DCs, which account for ~3% of the energy produced worldwide.******

我们社会的计算需求（其中大部分在数据中心 (DC) 中执行）每五年就会翻一番。然而，尽管数据中心的生产率不断提高，但它们仍然面临以下问题：(1) 建立资本成本高，(2) 由于能源使用效率低而导致运营成本高。高成本源于过度设计和过度配置的普遍行业实践，其根源在于运营商无法实时了解其设施内各种组件的性能指标（例如利用率和能源消耗）或健康状况（例如即将发生的故障和故障的指标）。实现实时可见性的主要瓶颈是每个设施都由数千个组件组成，这些组件因供应商、设计和操作原理而异。在此，我们将开发三种使能技术，以实现以最少的人为干预监控数据中心运行的通用平台，即（1）廉价的监控硬件模块，可以记录和无线传输数据中心中各个组件的健康状况和性能指标，（2）用于实时通信监控数据和命令的无线网络协议，（3）用于完全自主监控和诊断的算法 收集的实时数据和计算高效的热建模。这些技术将使数据中心运营商能够 (1) 自适应地优化其运营，以及 (2) 预测并触发维护工作，以最大程度地减少服务中断。我们的合作伙伴 Cinnos Mission Critical Incorporated（CMCI，www.cinnos.com）是一家快速发展的年轻加拿大公司，这些技术将转化为整体数据中心基础设施管理 (DCIM) 产品线。 CMCI 将与主要客户协同进行广泛的 Beta 测试，并提供宝贵的反馈，以引导技术开发实现最大的商业影响。除了为我们的行业合作伙伴创造就业机会和新的收入来源之外，一个自然且值得注意的结果是DC的能源消耗显着减少，DC的能源消耗约占全球能源生产的3%。******