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

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的运营变得不可持续。该项目设计了一套可持续意识软件系统（SASSY），以实现“可持续设计”数据中心。SASSY注重整体的可持续性，考虑到计算设备的生命周期碳足迹、能源清洁度和设备可靠性。为了衡量每个作业的端到端可持续性成本，开发了一个全栈测量框架。为了让最终用户参与可持续发展工作，我们设计了新的规划模式和工具，使用户能够具体说明其可持续发展和业绩目标。这些指标和模型共同指导SASSY在数据中心范围内做出明智的可持续管理选择。采用SASSY解决方案可以实现可持续的节约，从而使整个社会受益。此外，SASSY编程模型和工具允许开发人员构建更具可持续性的应用程序，从而实现“设计可持续性”的软件开发。数据中心运营商和行业合作伙伴可以直接从SASSY的开源软件和模型中受益，这些软件和模型通过项目网站https://www.pace.cs.stonybrook.edu/sassy.html公开。下一代从业者和研究人员被教导通过项目产生的教育和指导机会将可持续性视为一流的衡量标准。该项目响应并部分资助了计算机可持续性设计（NSF-22-060）。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。

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.