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: 2105494
• 负责人: Prashant Shenoy
• 金额: $ 108.57万
• 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: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2105494&HistoricalAwards=false
• 关键词: Collaborative; Research; NGSDI; CarbonFirst; Sustainable

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.

云计算平台继续呈指数级增长，并正在成为我们基于信息的经济的基础。 虽然由于积极的能效优化，云计算的能源需求在过去十年中的增长速度低于预期，但使用传统方法的优化机会很少。因此，云计算的持续指数增长将转化为指数增长的能源需求，这将使其成为全球碳排放的主要贡献者之一。为了解决这一问题，该项目将碳排放提升为设计可持续、可靠的云边缘软件基础设施的一流指标，以实现持续的指数级增长。该项目的基础是一个软件定义的能源虚拟化层，为应用提供对自身能源和碳排放使用的可见性和控制。该项目将利用这一基础开发更高级别的系统抽象，以支持不同地理范围内的碳效率应用，包括：集群气球技术，可自动调整应用程序的能源使用，以匹配本地边缘站点不稳定的清洁能源供应;边缘跳跃机制，利用较低的区域能源波动性来平衡边缘站点的能源;以及碳排放上限政策，该政策跟踪应用程序的全球电网碳排放量，并在达到上限后限制电网能源。该项目通过使商业云平台可持续地继续其指数增长，具有重大的社会影响力。 该项目将通过将提案中的主题纳入合作机构为当地初中和高中学生提供的暑期课程来进行推广。该项目还将通过将边缘，云和可持续计算的元素纳入研究生和高级本科课程来影响这些机构的课程。 最后，该项目将通过利用机构多样性的努力招募一个多样化的学生群体，并将通过本科生研究经验（REU）项目吸引本科生参与。该项目将在项目网站http://www.carbonfirst.org和通过UMass Trace Repository http://traces.cs.umass.edu上向研究社区提供其软件工件，数据集和研究结果。项目结束后，项目网站和跟踪存储库将至少保存该项目的成果五年。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

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services

• DOI: 10.1145/3634769.3634812
• 发表时间: 2023-10
• 期刊: Proceedings of the 14th International Green and Sustainable Computing Conference
• 作者: Abel Souza;Shruti Jasoria;Basundhara Chakrabarty;Alexander Bridgwater;Axel Lundberg;Filip Skogh;Ahmed Ali-Eldin;David Irwin;Prashant J. Shenoy

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
• 作者: Hanafy, Walid A.;Bostandoost, Roozbeh;Bashir, Noman;Irwin, David;Hajiesmaili, Mohammad;Shenoy, Prashant
• 通讯作者: Shenoy, Prashant

The hidden cost of the edge: a performance comparison of edge and cloud latencies

边缘的隐藏成本：边缘和云延迟的性能比较

• DOI: 10.1145/3458817.3476142
• 发表时间: 2021
• 期刊: Storage and Analysis
• 作者: Ali-Eldin, Ahmed;Wang, Bin;Shenoy, Prashant
• 通讯作者: Shenoy, Prashant

CarbonCast: multi-day forecasting of grid carbon intensity

CarbonCast：电网碳强度的多日预测

• DOI: 10.1145/3563357.3564079
• 发表时间: 2022
• 期刊: and Transportation (BuildSys ’22
• 作者: Maji, Diptyaroop;Shenoy, Prashant;Sitaraman, Ramesh K.
• 通讯作者: Sitaraman, Ramesh K.

Model-driven Cluster Resource Management for AI Workloads in Edge Clouds

• DOI: 10.1145/3582080
• 发表时间: 2022-01
• 期刊: ACM Transactions on Autonomous and Adaptive Systems
• 影响因子: 2.7
• 作者: Qianlin Liang;Walid A. Hanafy;Ahmed Ali-Eldin;Prashant Shenoy