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CAREER: Coordinated Power Management in Colocation Data Centers

CAREER: Coordinated Power Management in Colocation Data Centers
职业:托管数据中心的协调电源管理
批准号:
1551661
负责人:
Shaolei Ren
金额:
$40.4万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-07-10 至 2022-04-30

项目摘要

项目成果

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中文摘要
翻译
职业:主机托管数据中心的协调电源管理该项目侧重于优化主机托管数据中心的电源管理,为在共享空间中管理自己的服务器的多个租户提供设施支持。作为支持爆炸式信息技术需求的数据中心行业的一个组成部分,多租户托管数据中心在数量和规模上都得到了大规模的扩展。日益增长的运营成本和环境问题是主要的担忧。尽管如此,现有的能源效率工作主要集中在所有者运营的数据中心,如谷歌,其运营商对计算资源和设施具有全面和协调的控制,因此它们不适用于单个租户以非协调的方式管理自己的服务器和电力消耗的托管数据中心。因此,托管数据中心在能源效率和可持续性方面远远落后于最先进的自有数据中心,如果不加以解决,这将是数字经济可持续增长的主要障碍。为了实现托管数据中心的能源可持续性,该项目提出了新的基于市场的方法来协调单个租户的电源管理,同时优化托管运营商自己的服务器管理和非it控制(例如冷却系统)。该项目调查了三个互补的研究重点:(i)全面优化托管运营商的设施管理和向租户提供节约能源的经济激励,以限制碳密集型电力的使用;(ii)实现托管数据中心需求响应,最大限度降低托管运营商的运营成本,增加可再生能源的采用,提高电网可靠性;(iii)基于软件模拟、系统原型和现实世界实现的实验和验证。作为工业界和学术界为实现可持续计算而共同努力的一部分,该项目独特地将电源管理的探索从所有者运营的数据中心扩展到多租户托管数据中心。该项目可以促进未来数据中心管理的转变,改变数字经济的发展方式,对经济、环境和社会产生巨大影响。这个项目也包含了一个重要的教育组成部分,并提供了广泛的机会来吸引不同的学生从事计算机科学。
英文摘要
CAREER: Coordinated Power Management in Colocation Data CentersThis project focuses on optimizing power management in colocation data centers, which provide facility support to multiple tenants that manage their own servers in shared space. As an integral segment of data center industry supporting the exploding information technology demand, multi-tenant colocation data centers have been massively expanding in both number and scale. The significant concerns are both growing operational costs and environmental issues. Nonetheless, the existing energy-efficiency efforts have been dominantly focused on owner-operated data centers, like Google, whose operators have full and coordinated control over both computing resources and facilities, and hence they are not applicable for colocation data centers in which individual tenants manage their own servers and power consumption in a non-coordinated manner. Consequently, colocation data centers are far behind state-of-the-art owner-operated data centers in energy efficiency and sustainability, which, if left unaddressed, is a major hurdle for sustainable growth in digital economy.To achieve energy sustainability in colocation data centers, this project proposes novel market-based approaches to coordinate individual tenants' power management, in concert with optimizing colocation operator's own server management and non-IT control (e.g., cooling system). This project investigates three complementary research thrusts: (i) Holistically optimizing colocation operator's facility management and economic incentives offered to tenants for energy saving, to limit the usage of carbon-intensive electricity; (ii) Enabling colocation data center demand response to minimize colocation operator's operating cost, increase the adoption of renewable energy, and enhance the power grid reliability; and (iii) Experimentation and validation based on combined software simulation, system prototyping, and real-world implementation.As part of the collaborative efforts from both industry and academia to enable sustainable computing, this project uniquely extends the exploration of power management from owner-operated data centers to multi-tenant colocation data centers. This project can catalyze a shift in future data center management and transform the way that the digital economy evolves, bearing great economic, environmental and societal impacts. This project also contains a significant educational component and provides broad opportunities to attract a diverse population of students to engage in computer science.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2020-07
期刊: ArXiv
影响因子: --
作者: [Zhihui Shao;Jianyi Yang;Shaolei Ren]
通讯作者: Zhihui Shao;Jianyi Yang;Shaolei Ren
On the Latency Variability of Deep Neural Networks for Mobile Inference
关于移动推理深度神经网络的延迟可变性
DOI: --
发表时间: 2020
期刊: Workshop on Hot Topics in Edge Computing (1-page Poster
影响因子: --
作者: [Yang, Luting, Lu, Bingqian, Ren, Shaolei]
通讯作者: Ren, Shaolei
DOI: 10.24963/ijcai.2020/427
发表时间: 2020-07
期刊:
影响因子: --
作者: [Da Yu;Huishuai Zhang;Wei Chen;Tie-Yan Liu;Jian Yin]
通讯作者: Da Yu;Huishuai Zhang;Wei Chen;Tie-Yan Liu;Jian Yin
Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers?
你的噪音,我的信号:利用开关噪音从台式计算机中秘密窃取数据?
DOI: 10.1145/3410048.3410094
发表时间: 2020
期刊: ACM SIGMETRICS Performance Evaluation Review
影响因子: --
作者: [Shao, Zhihui, Islam, Mohammad A., Ren, Shaolei]
通讯作者: Ren, Shaolei
共 8 条
    Collaborative Research: DESC: Type I: A User-Interactive Approach to Water Management for Sustainable Data Centers: From Water Efficiency to Self-Sufficiency
    • 批准号:
      2324916
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2023
    • 负责人:
      Shaolei Ren
    • 依托单位:
    DESC: Type I: Enabling Carbon-Zero Colocation Data Centers via Agile and Coordinated Resource Management
    • 批准号:
      2324941
    • 项目类别:
      Standard Grant
    • 资助金额:
      $60.0万
    • 财政年份:
      2023
    • 负责人:
      Shaolei Ren
    • 依托单位:
    Collaborative Research: SaTC: CORE: Small: Securing Brain-inspired Hyperdimensional Computing against Design-time and Run-time Attacks for Edge Devices
    • 批准号:
      2326598
    • 项目类别:
      Continuing Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2023
    • 负责人:
      Shaolei Ren
    • 依托单位:
    Collaborative Research: CNS Core: Small: Towards Automated and QoE-driven Machine Learning Model Selection for Edge Inference
    • 批准号:
      2007115
    • 项目类别:
      Standard Grant
    • 资助金额:
      $24.99万
    • 财政年份:
      2020
    • 负责人:
      Shaolei Ren
    • 依托单位:
    海外基金