生态生命：面向可持续计算的碳感知无服务器功能调度

arXiv - CS - Distributed, Parallel, and Cluster Computing Pub Date : 2024-09-03 DOI:arxiv-2409.02085

Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari

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引用次数: 0

摘要

这项工作介绍了 ECOLIFE，它是首个可共同优化碳足迹和性能的无碳感知服务器函数调度程序。ECOLIFE 基于智能利用多代硬件实现高性能和低碳足迹的关键见解。ECOLIFE 设计了无服务器执行环境下粒子群优化（PSO）的多层次扩展，以在实现高性能的同时有效减少碳足迹。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing

This work introduces ECOLIFE, the first carbon-aware serverless function scheduler to co-optimize carbon footprint and performance. ECOLIFE builds on the key insight of intelligently exploiting multi-generation hardware to achieve high performance and lower carbon footprint. ECOLIFE designs multiple novel extensions to Particle Swarm Optimization (PSO) in the context of serverless execution environment to achieve high performance while effectively reducing the carbon footprint.

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arXiv - CS - Distributed, Parallel, and Cluster Computing

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