Collaborative Research: CNS Core: Large: Systems and Verifiable Metrics for Sustainable Data Centers

合作研究：CNS 核心：大型：可持续数据中心的系统和可验证指标

• 批准号: 2215017
• 负责人: Syed Rafiul Hussain
• 金额: $ 20.66万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2215017&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Large

Data centers already contribute significantly to the global carbon footprint. However, the rise in popularity of resource-intensive Big Data and Machine Learning workloads is poised to make data center operations unsustainable. This project designs a suite of Sustainability Aware Software SYstems (SASSY) to enable "sustainable-by-design" data centers. SASSY focuses on sustainability holistically, considering the lifecycle carbon footprint of computing equipment, cleanliness of energy source, and device reliability. To measure per-job end-to-end sustainability costs, a full-stack measurement framework is developed. To involve end-users in sustainability efforts, new programming models and tools are designed to enable users to specify their sustainability and performance objectives. The metrics and models together guide SASSY to make wise data-center-wide sustainable management choices.The adoption of SASSY solutions leads to sustainability savings that benefit the society at large. Further, the SASSY programming models and tools allow developers to build more sustainable applications, enabling "sustainable-by-design" software development. Data center operators and industry partners can directly benefit from SASSY's open-source software and models, which are made public through the project Website: https://www.pace.cs.stonybrook.edu/sassy.html. The next generation of practitioners and researchers are taught to consider sustainability as a first-class metric via educational and mentoring opportunities that the project generates.This project was in response to and partially funded by Design for Sustainability in Computing (NSF-22-060)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.

数据中心已经对全球碳足迹做出了重大贡献。然而，资源密集型大数据和机器学习工作负载的普及将使数据中心运营变得不可持续。该项目设计了一套可持续发展意识软件系统（SASSY），以实现“可持续设计”数据中心。 SASSY 全面关注可持续性，考虑计算设备的生命周期碳足迹、能源清洁度和设备可靠性。为了衡量每个工作的端到端可持续性成本，开发了一个全栈衡量框架。为了让最终用户参与可持续发展工作，我们设计了新的编程模型和工具，使用户能够指定其可持续发展和绩效目标。这些指标和模型共同指导 SASSY 做出明智的数据中心范围可持续管理选择。采用 SASSY 解决方案可实现可持续发展节约，造福整个社会。此外，SASSY 编程模型和工具允许开发人员构建更可持续的应用程序，从而实现“可持续设计”软件开发。数据中心运营商和行业合作伙伴可以直接受益于SASSY的开源软件和模型，这些软件和模型通过项目网站公开：https://www.pace.cs.stonybrook.edu/sassy.html。通过该项目产生的教育和指导机会，下一代从业者和研究人员被教导将可持续性视为一流的指标。该项目是为了响应计算可持续性设计 (NSF-22-060) 并由其部分资助该奖项反映了 NSF 的法定使命，并通过使用基金会的智力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

Verifiable Sustainability in Data Centers

数据中心可验证的可持续性

• DOI: 10.48550/arxiv.2307.11993
• 发表时间: 2023-07-22
• 期刊: ArXiv
• 作者: Syed Rafiul Hussain;P. Mcdaniel;Anshul G;hi;hi;K. Ghose;Kartik Gopalan;Dongyoon Lee;Yu Liu;Zhen Liu
• 通讯作者: Zhen Liu