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
• 负责人: Shaolei Ren
• 金额: $ 60万
• 依托单位: University of California-Riverside
• 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: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324941&HistoricalAwards=false
• 关键词: DESC; Type; Enabling; Carbon; Zero

Multi-tenant colocation data centers (a.k.a. colocation) are critical infrastructures to support the booming artificial intelligence industry and digital economy. Rapid expansion in both number and scale of data centers results in formidable energy demand. While both colocation operators and tenants are eager to achieve carbon sustainability and ultimately "carbon-zero", turning this vision into reality faces significant challenges. Given tenants' siloed server management in a colocation, this project aims to answer, how can the combined energy demands be reimagined to make use of the intermittent renewable energy supply to reduce the carbon footprint? How can centers dynamically provision tenants' servers for operational carbon efficiency while addressing the negative impact on servers' lifespan to avoid increases in embodied carbon footprint? And, how can tenants' server power consumption be modulated in an agile manner to track intermittent renewables at a fine granularity? To address these challenging questions, this project proposes to develop (1) a computationally-efficient mechanism to coordinate the allocation of intermittent green energy to different tenants; (2) a learning-based algorithm to dynamically provision tenants' servers to minimize the operational carbon footprint while keeping the embodied carbon footprint low; and (3) an agile server power modulation framework that combines hardware power knobs (DVFS, Sleep states) with software power knobs (multi-power binaries) to enable faster and greater power adaptation to track green energy availability. This project has broader impacts on the industry and the scientific community. To keep the momentum for an environmentally sustainable and healthy data center industry, this project extends the exploration of optimizing owner-operated data centers to a critical and under-explored segment of data centers --- multi-tenant colocation data centers where tenants' server management is siloed. It can catalyze a shift in the management of future data centers and ultimately transforms the way that the artificial intelligence industry and digital economy evolve. This project also includes a significant educational component and provides abundant opportunities to nurture and attract students from under-represented groups to engage in computer science. The research results will be transitioned into the existing curriculum. Further, leveraging the large population of minority students in the PI's institution, this project will bear a profound impact on the education and careers of minority students.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.

多租户托管数据中心（又称托管）是支持蓬勃发展的人工智能行业和数字经济的关键基础设施。数据中心数量和规模的快速扩张带来了巨大的能源需求。尽管托管运营商和租户都渴望实现碳可持续性并最终实现“零碳”，但将这一愿景变为现实面临着巨大的挑战。鉴于租户在主机托管中进行孤立的服务器管理，该项目旨在回答：如何重新设想综合能源需求，以利用间歇性的可再生能源供应来减少碳足迹？中心如何动态配置租户的服务器以提高运营碳效率，同时解决对服务器使用寿命的负面影响，以避免隐含碳足迹的增加？并且，如何灵活地调节租户的服务器功耗，以细粒度跟踪间歇性可再生能源？为了解决这些具有挑战性的问题，该项目建议开发（1）一种计算高效的机制来协调间歇性绿色能源向不同租户的分配； (2) 基于学习的算法，动态配置租户的服务器，以最大限度地减少运营碳足迹，同时保持较低的隐含碳足迹； (3) 灵活的服务器功率调制框架，将硬件功率旋钮（DVFS、睡眠状态）与软件功率旋钮（多功率二进制文件）相结合，以实现更快、更强的功率适应，以跟踪绿色能源的可用性。该项目对行业和科学界具有更广泛的影响。为了保持数据中心行业环境可持续发展和健康发展的势头，该项目将优化业主运营的数据中心的探索扩展到数据中心的一个关键且尚未充分开发的领域——多租户托管数据中心，其中租户的服务器管理是孤立的。它可以促进未来数据中心管理的转变，并最终改变人工智能行业和数字经济的发展方式。该项目还包括重要的教育部分，并提供丰富的机会来培养和吸引弱势群体的学生从事计算机科学。研究成果将转化为现有课程。此外，利用 PI 机构中大量的少数族裔学生，该项目将对少数族裔学生的教育和职业产生深远的影响。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。