地理分布式无服务器云中受服务水平协议约束的碳感知路由

中文摘要 AI 辅助

现代云部署在多个地理区域分布应用程序，但标准路由机制优先考虑延迟而忽略了当地电网波动的碳强度。延迟驱动的路由会产生可避免的碳排放，特别是当更清洁的区域在可接受的延迟范围内时。所提出的模型将碳感知无服务器路由问题表述为对地理分布式云区域的约束优化，并引入了一种受服务水平协议（SLA）约束的碳感知路由策略，该策略在SLA可行区域内实现最佳碳减排，并使用跨越5个主要AWS部署的实际碳强度测量值进行评估。实验结果表明，所提出的策略在所有评估阈值下实现了高达46.8%的碳减排，同时保持零SLA违规。在混合工作负载下，该系统平均减少27.4%的碳，路由开销非常低（小于总请求延迟的0.02%）。一项跨越6大洲12个AWS区域的可扩展性研究表明，在混合工作负载下，随着路由灵活性的扩大，平均碳节约从27.4%增加到47.5%。所提出的工作通过实现低碳路由决策，为可持续发展目标13（气候行动）和可持续发展目标7（负担得起的清洁能源）做出了贡献。这些结果表明，云系统可以在不影响用户体验的情况下实现显著的碳节约。

英文摘要

Modern cloud deployments distribute applications across multiple geographic regions, yet standard routing mechanisms prioritize latency while ignoring the fluctuating carbon intensity of local power grids. Latency-driven routing incurs avoidable carbon emissions, particularly when cleaner regions are within acceptable latency bounds. The proposed model formulates the carbon-aware serverless routing problem as a constrained optimization over geo-distributed cloud regions and introduces an SLA-constrained carbon-aware routing policy that achieves optimal carbon reduction within the SLA-feasible region, evaluated using real carbon intensity measurements across 5 primary AWS deployments. Experimental results show that the proposed policy achieves up to 46.8% carbon reduction while maintaining zero SLA violations across all evaluated thresholds. The system reduces carbon by an average of 27.4% under mixed workloads, and the routing overhead is very low (less than 0.02% of total request latency). A scalability study across 12 AWS regions spanning 6 continents demonstrates that average carbon savings increase from 27.4% to 47.5% as routing flexibility expands under mixed workloads. The proposed work contributes to SDG 13 (Climate Action) and SDG 7 (Affordable and Clean Energy) by enabling low-carbon routing decisions. These results indicate that cloud systems can achieve significant carbon savings without compromising user experience.

发表机构

• National Institute of Advanced Manufacturing Technology Ranchi（国家先进制造技术研究所（兰契））

机构由 AI 辅助整理，请以论文原文为准。