GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores
Name
3712285.3759861.pdf
Size
8.21 MB
Format
Adobe PDF
Checksum (MD5)
a427f8c720c5ab57c3c2ba555ab5f13e
Author(s)
Basu Roy, Rohan
Patel, Tirthak
Li, Baolin
Samsi, Siddharth
Gadepally, Vijay
Tiwari, Devesh
Date Issued
November 15, 2025
Publisher
ACM|The International Conference for High Performance Computing, Networking, Storage and Analysis
Citation
Basu Roy, Rohan, Patel, Tirthak, Li, Baolin, Samsi, Siddharth, Gadepally, Vijay et al. 2025. "GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores."
Version
Final published version
Abstract
GreenMix is motivated by the renewed interest in asymmetric multi-core processors and the emergence of the serverless computing model. Asymmetric multi-cores offer better energy and performance trade-offs by placing different core types on the same die. However, existing serverless scheduling techniques do not leverage these benefits. GreenMix is the first serverless work to reduce energy and serverless keep-alive costs while meeting QoS targets by leveraging asymmetric multi-cores. GreenMix employs randomized sketching, tailored for serverless execution and keep-alive, to perform within 10% of the optimal solution in terms of energy efficiency and keep-alive cost reduction. GreenMix’s effectiveness is demonstrated through evaluations on clusters of ARM big.LITTLE and Intel Alder Lake asymmetric processors. It outperforms competing state-of-the-art schedulers, offering a novel approach for energy-efficient serverless computing.
Description
SC ’25, St Louis, MO, USA
MIT Department
Lincoln Laboratory
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3712285.3759861
