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CAREER: A Robust and Data-driven Design for Carbon-intelligent Distributed Systems

职业生涯：碳智能分布式系统的稳健且数据驱动的设计

基本信息

批准号：
2045641
负责人：
Mohammadhassan Hajiesmaili
金额：
$ 54.12万
依托单位：
University of Massachusetts Amherst
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
起止时间：
2021-02-15 至 2026-01-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2045641&HistoricalAwards=false
关键词：
CAREER Robust Data driven Design

项目摘要

The internet is a 24/7 service, it could be 24/7 carbon-free too. This is an ambitious goal that has been recently advocated by internet pioneer industries as a response of the computing domain to climate change. Achieving this goal requires the decarbonization of operations of geographically distributed digital infrastructure, e.g., data centers, providing services such as video streaming, or hosting compute-intensive applications. Despite a decade of effort on the sustainability of digital infrastructure, the current design is still inadequate to achieve the 24/7 carbon-free goal. The current design focuses to minimize the energy cost and/or consumption or maximize renewable participation. The latter is the closest effort towards the decarbonization goal; however, when the wind is not blowing or the sun is not shining, this design has no carbon intelligence, i.e., it obliviously draws energy from the grid without taking into account that the carbon intensity of grid changes over time due to existence of other carbon-free sources such as hydropower. This proposal explicitly considers carbon intelligence as a first-class design principle of digital infrastructure. It will develop and evaluate novel carbon-intelligent methodologies that are robust against uncertainty and provide a design space for data-driven adaptation for improved practical performance. The proposed theories will create a foundation for designing robust and data-driven systems and will be applicable more broadly to the computer and network systems. The carbon-intelligence approaches open new research directions for advancing the research at the intersection of computer science and sustainability. More broadly, this proposal is a response of the computing domain to climate change, one of the largest problems’ society has ever faced. Last, it creates opportunities for educational, sociotechnical, and outreach activities. The planned sociotechnical activities broaden the research outcome of this proposal for measuring and improving the inequity of the energy system.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.

互联网是一个24/7的服务，它也可以是24/7无碳的。这是一个雄心勃勃的目标，最近被互联网先驱行业倡导为计算领域对气候变化的响应。实现这一目标需要对地理分布的数字基础设施的运营进行脱碳，例如，数据中心，提供视频流等服务，或托管计算密集型应用程序。尽管在数字基础设施的可持续性方面进行了十年的努力，但目前的设计仍然不足以实现24/7无碳目标。目前的设计重点是最大限度地减少能源成本和/或消耗或最大限度地提高可再生能源的参与。后者是最接近脱碳目标的努力;然而，当风不吹或太阳不照耀时，这种设计没有碳智能，即，它不经意地从电网中汲取能量，而不考虑电网的碳强度由于存在其他无碳源（例如水电）而随时间变化。该提案明确将碳智能视为数字基础设施的一流设计原则。它将开发和评估新的碳智能方法，这些方法对不确定性具有鲁棒性，并为数据驱动的适应提供设计空间，以提高实际性能。所提出的理论将为设计健壮的数据驱动系统奠定基础，并将更广泛地适用于计算机和网络系统。碳智能方法为推进计算机科学和可持续发展交叉领域的研究开辟了新的研究方向。更广泛地说，这一提议是计算领域对气候变化的回应，气候变化是人类社会面临的最大问题之一。最后，它为教育、社会技术和外联活动创造了机会。计划中的社会技术活动扩大了该提案的研究成果，以衡量和改善能源系统的不平等。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

期刊论文数量（23）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization

效率之战：了解碳与能源优化之间的紧张关系

DOI：
10.1145/3604930.3605709
发表时间：
2023
期刊：
HotCarbon '23: Proceedings of the 2nd Workshop on Sustainable Computer Systems
影响因子：
0
作者：
Hanafy, Walid A.;Bostandoost, Roozbeh;Bashir, Noman;Irwin, David;Hajiesmaili, Mohammad;Shenoy, Prashant
通讯作者：
Shenoy, Prashant

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits

DOI：
发表时间：
2023
期刊：
影响因子：
0
作者：
Xuchuang Wang;L. Yang;Y. Chen;Xutong Liu;M. Hajiesmaili;D. Towsley;John C.S. Lui
通讯作者：
Xuchuang Wang;L. Yang;Y. Chen;Xutong Liu;M. Hajiesmaili;D. Towsley;John C.S. Lui

Distributed Bandits with Heterogeneous Agents

DOI：
10.1109/infocom48880.2022.9796901
发表时间：
2022-01
期刊：
IEEE INFOCOM 2022 - IEEE Conference on Computer Communications
影响因子：
0
作者：
Lin Yang;Y. Chen;M. Hajiesmaili;John C.S. Lui;D. Towsley
通讯作者：
Lin Yang;Y. Chen;M. Hajiesmaili;John C.S. Lui;D. Towsley

Online Peak-Aware Energy Scheduling with Untrusted Advice

DOI：
10.1145/3447555.3464860
发表时间：
2021-06
期刊：
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
影响因子：
0
作者：
Russell Lee;Jessica Maghakian;M. Hajiesmaili;Jian Li;R. Sitaraman;Zhenhua Liu
通讯作者：
Russell Lee;Jessica Maghakian;M. Hajiesmaili;Jian Li;R. Sitaraman;Zhenhua Liu

On-Demand Communication for Asynchronous Multi-Agent Bandits

DOI：
10.48550/arxiv.2302.07446
发表时间：
2023-02
期刊：
影响因子：
0
作者：
Y. Chen;L. Yang;Xuchuang Wang;Xutong Liu;M. Hajiesmaili;John C.S. Lui;D. Towsley
通讯作者：
Y. Chen;L. Yang;Xuchuang Wang;Xutong Liu;M. Hajiesmaili;John C.S. Lui;D. Towsley