标题： 一种自上而下的可持续异构边缘数据中心的设计与管理方法 显示英文标题

标题： A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers

摘要： 人工智能（AI）计算需求的增长带来了显著的环境挑战，运行时碳排放和制造时碳排放都成为主要贡献者。 本文提出了一种基于三个设计原则的碳感知整体方法，用于设计和管理可持续的边缘数据中心（EDC），该方法挑战了最先进的优化范式。 我们的方法在架构、系统和运行时层之间采用垂直集成，平衡运行时碳排放和制造时碳排放，同时将EDC性能作为联合优化目标，而不是约束条件。 在架构层面，我们提出了碳感知和近似加速器设计以减少制造时碳排放。 在系统层面，我们通过提高资源利用率并适应实时碳强度变化来最小化运行时碳排放。 最后，在运行时层面，我们开发了动态调度框架，根据能耗限制和碳强度调整执行过程。 显示英文摘要

摘要： The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, balances operational and embodied carbon emissions while considering EDC performance as a co-optimization objective, rather than a constraint. At the architecture level, we propose carbon-aware and approximate accelerator designs to reduce embodied carbon. At the system level, we enhance resource utilization and adapt to real-time carbon intensity variations to minimize operational emissions. Finally, at the runtime level, we develop dynamic scheduling frameworks that adjust execution, based on energy constraints and carbon intensity.