EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing
Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari

TL;DR
EcoLife is a pioneering carbon-aware serverless function scheduler that intelligently leverages multi-generation hardware and novel PSO-based extensions to optimize both performance and carbon footprint in sustainable computing.
Contribution
It introduces EcoLife, the first scheduler to co-optimize carbon footprint and performance in serverless environments using innovative PSO extensions.
Findings
Reduces carbon footprint while maintaining high performance
Effectively exploits multi-generation hardware for sustainability
Demonstrates significant improvements over existing schedulers
Abstract
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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Taxonomy
TopicsCloud Computing and Resource Management · Distributed and Parallel Computing Systems · Green IT and Sustainability
