Collaborative Research: DESC: Type I: A User-Interactive Approach to Water Management for Sustainable Data Centers: From Water Efficiency to Self-Sufficiency

合作研究:DESC:类型 I:可持续数据中心水资源管理的用户交互方法:从用水效率到自给自足

基本信息

  • 批准号:
    2324916
  • 负责人:
  • 金额:
    $ 30万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-15 至 2026-08-31
  • 项目状态:
    未结题

项目摘要

Amid the increasingly common megadroughts and global freshwater supply challenges, the massive water footprint of data centers makes them a critical and valuable player in the collective effort toward water sustainability. As such, it is imperative to adopt new approaches for data center management that explicitly address the water footprint as a sustainability metric. Nonetheless, existing research on data center water efficiency only takes users' compute demands as an external and uncontrollable input, keeping users entirely agnostic to their water footprint. This not only misses a significant opportunity for user-side demand management but also prevents environmentally conscious users from proactively exploiting their workload flexibility to contribute to data center water sustainability. To overcome this limitation and bridge the gap between data center operators and users, this project proposes a new user-interactive approach to data center water management, where users are provided with clear visibility of their fine-grained water footprints that enable their active contribution to water sustainability. Specifically, this project develops: (1) a fair and accurate water accounting system for data centers both at the user and facility levels; (2) a scalable user-interactive resource management approach that extracts users' scheduling flexibilities for water sustainability; and (3) an efficient online algorithm that achieves data center water self-sufficiency by leveraging alternative water sources such as rainwater harvesting.This project contributes to several key goals of the Design for Environmental Sustainability in Computing (DESC) program. It enables environmentally conscious clouds to tap into users' workload scheduling flexibility and offers unparalleled visibility into the water footprint of a user's digital presence by developing new user-level sustainability metrics. These insights can encourage and empower a new generation of sustainability-aware users and drive digital infrastructure providers to adapt and enhance their business practices to align with environmental sustainability objectives. Additionally, by alleviating the stress on freshwater sources and utilities, this project contributes to water conservation efforts and environmental resilience in drought-prone regions. To increase the widespread impact of this project, the tools and products developed will be shared publicly and integrated into existing curricula. Finally, this project actively promotes inclusivity and diversity by involving women, underrepresented minority groups in STEM, and persons with disabilities, fostering a collaborative and inclusive research environment.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在日益普遍的特大干旱和全球淡水供应挑战中,数据中心的巨大水足迹使其成为实现水可持续性的集体努力中的关键和有价值的参与者。因此,必须采用新的数据中心管理方法,明确将水足迹作为可持续性指标。尽管如此,现有的数据中心用水效率研究仅将用户的计算需求作为外部和不可控的输入,使用户对其水足迹完全不可知。这不仅错过了用户侧需求管理的重要机会,而且还阻止了具有环保意识的用户主动利用其工作负载灵活性来促进数据中心水的可持续性。为了克服这一限制并弥合数据中心运营商和用户之间的差距,该项目提出了一种新的用户交互式数据中心水资源管理方法,为用户提供清晰可见的细粒度水足迹,使他们能够为水资源的可持续性做出积极贡献。具体而言,该项目开发:(1)在用户和设施级别为数据中心提供公平准确的水资源核算系统;(2)可扩展的用户交互式资源管理方法,提取用户的调度灵活性,以实现水资源的可持续性;以及(3)实现数据中心水自-该项目有助于实现计算机环境可持续性设计(DESC)计划的几个关键目标。它使具有环保意识的云能够利用用户的工作负载调度灵活性,并通过开发新的用户级可持续性指标,为用户的数字存在的水足迹提供无与伦比的可见性。这些见解可以鼓励和增强新一代具有可持续性意识的用户,并推动数字基础设施提供商调整和增强其业务实践,以符合环境可持续性目标。此外,通过减轻对淡水资源和公用事业的压力,该项目有助于干旱易发地区的水资源保护工作和环境复原力。为了扩大该项目的广泛影响,将公开分享开发的工具和产品,并将其纳入现有课程。最后,该项目积极促进包容性和多样性,让妇女、STEM中代表性不足的少数群体和残疾人参与进来,营造合作和包容性的研究环境。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Shaolei Ren其他文献

TECH: A Thermal-Aware and Cost Efficient Mechanism for Colocation Demand Response
技术:用于主机代管需求响应的热感知且经济高效的机制
Title Extending Demand Response to Tenants in Cloud Data Centers via Non-intrusive Workload Flexibility Pricing Permalink
标题 通过非侵入式工作负载灵活性定价将需求响应扩展到云数据中心的租户 永久链接
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yong Zhan;Shaolei Ren
  • 通讯作者:
    Shaolei Ren
Managing Power Capacity as a First-Class Resource in Multitenant Data Centers
  • DOI:
    10.1109/mic.2017.2911417
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Shaolei Ren
  • 通讯作者:
    Shaolei Ren
GreenColo : Incentivizing Tenants for Reducing Carbon Footprint in Colocation Data Centers
GreenColo:激励租户减少托管数据中心的碳足迹
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. A. Islam;H. Mahmud;Shaolei Ren;Xiaorui Wang;Haven Wang;Joseph Scott
  • 通讯作者:
    Joseph Scott
Reconciling the contrasting narratives on the environmental impact of large language models
调和关于大型语言模型对环境影响的截然不同的说法
  • DOI:
    10.1038/s41598-024-76682-6
  • 发表时间:
    2024-11-01
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Shaolei Ren;Bill Tomlinson;Rebecca W. Black;Andrew W. Torrance
  • 通讯作者:
    Andrew W. Torrance

Shaolei Ren的其他文献

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{{ truncateString('Shaolei Ren', 18)}}的其他基金

DESC: Type I: Enabling Carbon-Zero Colocation Data Centers via Agile and Coordinated Resource Management
DESC:类型 I:通过敏捷和协调的资源管理实现零碳托管数据中心
  • 批准号:
    2324941
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: SaTC: CORE: Small: Securing Brain-inspired Hyperdimensional Computing against Design-time and Run-time Attacks for Edge Devices
协作研究:SaTC:核心:小型:保护类脑超维计算免受边缘设备的设计时和运行时攻击
  • 批准号:
    2326598
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Collaborative Research: CNS Core: Small: Towards Automated and QoE-driven Machine Learning Model Selection for Edge Inference
合作研究:CNS 核心:小型:面向边缘推理的自动化和 QoE 驱动的机器学习模型选择
  • 批准号:
    2007115
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
CNS: Small: Towards Intelligent, Coordinated and Scalable Management of Server Sprinting in Edge Data Centers
CNS:小型:迈向边缘数据中心服务器冲刺的智能、协调和可扩展管理
  • 批准号:
    1910208
  • 财政年份:
    2019
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Optimizing Energy Management in Microgrids with Datacenters: An Integrated Approach
优化数据中心微电网的能源管理:综合方法
  • 批准号:
    1610471
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
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
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CSR: Small: Improving Data Center Water Efficiency via Online Resource Management
CSR:小型:通过在线资源管理提高数据中心用水效率
  • 批准号:
    1565474
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
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:
    1453491
  • 财政年份:
    2015
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CSR: Small: Improving Data Center Water Efficiency via Online Resource Management
CSR:小型:通过在线资源管理提高数据中心用水效率
  • 批准号:
    1423137
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant

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相似海外基金

Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
协作研究:会议:DESC:类型 III:生态边缘 - 推进边缘的可持续机器学习
  • 批准号:
    2342498
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Conference: DESC: Type III: Eco Edge - Advancing Sustainable Machine Learning at the Edge
协作研究:会议:DESC:类型 III:生态边缘 - 推进边缘的可持续机器学习
  • 批准号:
    2342497
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type I: FLEX: Building Future-proof Learning-Enabled Cyber-Physical Systems with Cross-Layer Extensible and Adaptive Design
合作研究:DESC:类型 I:FLEX:通过跨层可扩展和自适应设计构建面向未来的、支持学习的网络物理系统
  • 批准号:
    2324936
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type I: FLEX: Building Future-proof Learning-Enabled Cyber-Physical Systems with Cross-Layer Extensible and Adaptive Design
合作研究:DESC:类型 I:FLEX:通过跨层可扩展和自适应设计构建面向未来的、支持学习的网络物理系统
  • 批准号:
    2324937
  • 财政年份:
    2024
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type II: REFRESH: Revisiting Expanding FPGA Real-estate for Environmentally Sustainability Heterogeneous-Systems
合作研究:DESC:类型 II:REFRESH:重新审视扩展 FPGA 空间以实现环境可持续性异构系统
  • 批准号:
    2324865
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type 1: Software-Hardware Recycling and Repair Dataset Infrastructure (SHReDI) for Sustainable Computing
合作研究:DESC:类型 1:用于可持续计算的软硬件回收和修复数据集基础设施 (SHReDI)
  • 批准号:
    2324949
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
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    Standard Grant
Collaborative Research: DESC: Type 2: Delphi: Life-time aware design frameworks for sustainable edge devices
合作研究:DESC:类型 2:Delphi:可持续边缘设备的生命周期感知设计框架
  • 批准号:
    2324861
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type II: Multi-Function Cross-Layer Electro-Optic Fabrics for Reliable and Sustainable Computing Systems
合作研究:DESC:II 型:用于可靠和可持续计算系统的多功能跨层电光织物
  • 批准号:
    2324644
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type 2: Delphi: Life-time aware design frameworks for sustainable edge devices
合作研究:DESC:类型 2:Delphi:可持续边缘设备的生命周期感知设计框架
  • 批准号:
    2324862
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: DESC: Type I: SEEDED: Sustainability-aware Reliable and Reusable AI Hardware Design
合作研究:DESC:类型 I:SEEDED:具有可持续性意识的可靠且可重复使用的人工智能硬件设计
  • 批准号:
    2323820
  • 财政年份:
    2023
  • 资助金额:
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