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LOCATION:260-267
DTSTART;TZID=America/Chicago:20251118T133000
DTEND;TZID=America/Chicago:20251118T135200
UID:submissions.supercomputing.org_SC25_sess370_pap662@linklings.com
SUMMARY:GreenMix: Energy-Efficient Serverless Computing via Randomized Ske
 tching on Asymmetric Multi-Cores
DESCRIPTION:Rohan Basu Roy (University of Utah); Tirthak Patel (Rice Unive
 rsity); Baolin Li (Netflix); Sid Samsi and Vijay Gadepally (Massachusetts 
 Institute of Technology (MIT), Lincoln Laboratory); and Devesh Tiwari (Nor
 theastern University)\n\nGreenMix is motivated by the renewed interest in 
 asymmetric multi-core processors and the emergence of the serverless compu
 ting model. Asymmetric multi-cores offer better energy and performance tra
 de-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 c
 osts while meeting QoS targets by leveraging asymmetric multi-cores. Green
 Mix employs randomized sketching, tailored for serverless function executi
 on and keep-alive, and leverages processor asymmetry, to perform within 10
 % of the optimal solution in terms of energy efficiency and keep-alive cos
 t reduction. GreenMix’s effectiveness is demonstrated through evaluations 
 with production-grade serverless function invocation traces on different c
 lusters made up of ARM big.LITTLE and Intel Alder asymmetric multi-core pr
 ocessors. GreenMix outperforms competing serverless frameworks and asymmet
 ric core-aware schedulers, offering a novel approach for energy-efficient 
 serverless computing.\n\nTag: Architectures & Networks, Best Paper Finalis
 t, System Software and Cloud Computing\n\nRecording: Livestreamed, Recorde
 d\n\nRegistration Category: Technical Program Reg Pass\n\nSession Chair: X
 iaoyi Lu (University of Florida)\n\n
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