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DESC: Type I: Data-driven system-design for sustainable long-lasting distributed infrastructures

DESC: Type I: Data-driven system-design for sustainable long-lasting distributed infrastructures
DESC:类型 I:数据驱动的系统设计,实现可持续的持久分布式基础设施
批准号:
2324873
负责人:
Stephen Lee
金额:
$52.3万
依托单位:
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
项目状态:
未结题
起止时间:
2023-10-01 至 2026-09-30

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中文摘要
翻译
为了减轻气候变化的影响,至关重要的是过渡到无碳经济,在这种经济中,现有的基础设施不再依赖基于碳的电力。然而,计算需求的快速增长导致整体能源消耗大幅增加,这对碳排放产生了不利影响。虽然目前的研究主要集中在减少能源消耗上,但重要的是要认识到,单靠提高能源效率并不一定能减少碳排放。高能效系统仍可能产生大量碳排放。为了有效地减少计算系统的排放,必须考虑这些系统的整个生命周期。该项目旨在为分布式计算基础设施开发新的寿命感知操作和减排策略,使这些系统能够考虑生命周期排放,促进计算系统的寿命并促进减排。该项目的更广泛影响包括为K-12和本科水平开发原型和教育资源。设计分布式计算系统需要重新考虑系统如何在清洁能源上运行,并在需求和供应不确定的情况下保持寿命。该项目通过设计一个包含安全计算原则的生命周期管理系统来应对这一挑战,以确保系统运行并防止降级或故障。它专注于使用集成到基于集装箱的协调平台中的新模型和政策来开发减排战略。这使应用程序能够就排放做出合理的决定,并根据这些决定的影响来管理其服务。此外,该项目还侧重于通过延长系统的寿命和提出调整应用程序资源以确保系统在安全水平上运行的新机制和政策来最大限度地减少实际排放。最后,利用排放量和工作量的空间和时间变化,开发了联合减少能源消耗和实际排放量的技术。总之,这些机制和政策将为减排应用提供新的技术基础。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
To mitigate the effects of climate change, it is crucial to transition to a carbon-free economy where existing infrastructures no longer rely on carbon-based electricity. However, the rapid growth in computing demand has resulted in a significant increase in overall energy consumption, which has a detrimental impact on carbon emissions. While current research has primarily focused on reducing energy consumption, it is important to recognize that improving energy efficiency alone does not necessarily lead to reducing carbon emissions. Highly energy-efficient systems may still produce substantial carbon emissions. To effectively reduce emissions from computing systems, it is essential to consider the entire lifecycle of these systems. This project aims to develop novel lifespan-aware operation and emission-reduction strategies for distributed computing infrastructures that enable these systems to consider lifecycle emissions, promoting the longevity of computing systems and facilitating emission reduction. The project's broader impacts include developing prototypes and educational resources for K-12 and undergraduate levels. Designing distributed computing systems requires rethinking how systems can operate on clean energy sources and maintain longevity despite demand and supply uncertainties. This project addresses this challenge by designing a lifetime management system that incorporates principles of safe computing to ensure system operation and prevent degradation or failures. It focuses on developing emission-reduction strategies using novel models and policies integrated into container-based orchestration platforms. This enables applications to make sound decisions with regard to emissions and regulate their services based on the implications of these decisions. Additionally, this project also focuses on minimizing embodied emissions by extending the system's lifespan and proposing novel mechanisms and policies that adjust application resources to ensure systems operate at safe levels. Finally, techniques are developed to jointly reduce both energy use and embodied emissions, leveraging spatial and temporal variations in emissions and workload. Together, these mechanisms and policies will provide a new technical foundation for emission-aware applications.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.
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