课题基金 / 基金详情

Collaborative Research: NGSDI: CarbonFirst: A Sustainable and Reliable Carbon-Centric Cloud-Edge Software Infrastructure

Collaborative Research: NGSDI: CarbonFirst: A Sustainable and Reliable Carbon-Centric Cloud-Edge Software Infrastructure
合作研究:NGSDI:CarbonFirst:可持续且可靠的以碳为中心的云边缘软件基础设施
批准号:
2105648
负责人:
Adam Wierman
金额:
$36.11万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-05-01 至 2025-04-30

项目摘要

项目成果

Adam Wierman的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Cloud computing platforms continue to grow exponentially, and are becoming the foundation of our information-based economy. While the cloud’s energy demand grew more slowly than expected over the past decade due to aggressive energy-efficiency optimizations, there are few remaining optimization opportunities using traditional methods. As a result, the cloud’s continued exponential growth will translate into exponentially rising energy demand, which will position it as one of the primary contributors to global carbon emissions. To address the problem, this project elevates carbon to a first-class metric in designing a sustainable and reliable cloud-edge software infrastructure that can enable continued exponential growth.The project's foundation is a software-defined energy virtualization layer that provides applications visibility into, and control of, their own energy and carbon usage. The project will leverage this foundation to develop higher-level systems abstractions for supporting carbon-efficient applications at different geographical scales including: a cluster balloon technique, which automatically adjusts applications’ energy usage to match a volatile clean energy supply at local edge sites; edge hopping mechanisms, which exploit lower regional energy volatility to balance energy across edge sites; and carbon capping policies, which track applications’ global grid carbon emissions and restrict grid energy after reaching the cap.The project has the potential for significant societal impact by enabling commercial cloud platforms to sustainably continue their exponential growth. The project will conduct outreach by incorporating topics from the proposal into summer programs for local middle and high school students at the partner institutions. The project will also impact the curriculum at these institutions by adopting elements of edge, cloud, and sustainable computing into graduate and advanced undergraduate courses. Finally, the project will recruit a diverse group of students by leveraging institutional diversity efforts and will involve undergraduate students through Research Experience for Undergraduate (REU) projects.The project will make its software artifacts, datasets, and research results available to the research community on the project website at http://www.carbonfirst.org and via the UMass Trace Repository at http://traces.cs.umass.edu. Artifacts derived from this project will be maintained on the project website and the trace repository for a minimum of five years after the project's conclusion.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.
期刊论文(19)
专著(0)
科研奖励(0)
会议论文
The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting
在线暂停和恢复问题:最优算法和碳感知负载转移的应用
DOI: 10.1145/3626776
发表时间: 2023
期刊: Proceedings of the ACM on Measurement and Analysis of Computing Systems
影响因子: --
作者: [Lechowicz, Adam, Christianson, Nicolas, Zuo, Jinhang, Bashir, Noman, Hajiesmaili, Mohammad, Wierman, Adam, Shenoy, Prashant]
通讯作者: Shenoy, Prashant
DOI: --
发表时间: 2021-06
期刊:
影响因子: --
作者: [Yiheng Lin;Yang Hu;Haoyuan Sun;Guanya Shi;Guannan Qu;A. Wierman]
通讯作者: Yiheng Lin;Yang Hu;Haoyuan Sun;Guanya Shi;Guannan Qu;A. Wierman
DOI: 10.1287/opre.2021.2226
发表时间: 2019-12
期刊: Oper. Res.
影响因子: --
作者: [Guannan Qu;A. Wierman;N. Li]
通讯作者: Guannan Qu;A. Wierman;N. Li
DOI: 10.23919/acc53348.2022.9867421
发表时间: 2020-10
期刊: 2022 American Control Conference (ACC)
影响因子: --
作者: [Chenkai Yu;Guanya Shi;Soon-Jo Chung;Yisong Yue;A. Wierman]
通讯作者: Chenkai Yu;Guanya Shi;Soon-Jo Chung;Yisong Yue;A. Wierman
19
    Collaborative Research: CNS Core: Small: Optimizing Large-Scale Heterogeneous ML Platforms
    • 批准号:
      2146814
    • 项目类别:
      Standard Grant
    • 资助金额:
      $25.0万
    • 财政年份:
      2022
    • 负责人:
      Adam Wierman
    • 依托单位:
    Collaborative Research: CPS: Medium: Enabling DER Integration via Redesign of Information Flows
    • 批准号:
      2136197
    • 项目类别:
      Standard Grant
    • 资助金额:
      $40.0万
    • 财政年份:
      2021
    • 负责人:
      Adam Wierman
    • 依托单位:
    Collaborative Research: CNS Core: Medium: Dynamic Data-driven Systems - Theory and Applications
    • 批准号:
      2106403
    • 项目类别:
      Standard Grant
    • 资助金额:
      $36.0万
    • 财政年份:
      2021
    • 负责人:
      Adam Wierman
    • 依托单位:
    NeTS: Large: Networked Markets: Theory and Applications
    • 批准号:
      1518941
    • 项目类别:
      Standard Grant
    • 资助金额:
      $100.0万
    • 财政年份:
      2015
    • 负责人:
      Adam Wierman
    • 依托单位:
    国内基金
    海外基金
    Research on Quantum Field Theory without a Lagrangian Description
    • 批准号:
      24ZR1403900
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2024
    • 负责人:
      SATOSHI NAWATA
    • 依托单位:
    Cell Research
    Cell Research
    Cell Research (细胞研究)