research-article

IceBreaker: warming serverless functions better with heterogeneity

Authors:

Rohan Basu Roy,

Devesh TiwariAuthors Info & Claims

ASPLOS '22: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

Pages 753 - 767

https://doi.org/10.1145/3503222.3507750

Published: 22 February 2022 Publication History

Abstract

Serverless computing, an emerging computing model, relies on "warming up" functions prior to its anticipated execution for faster and cost-effective service to users. Unfortunately, warming up functions can be inaccurate and incur prohibitively expensive cost during the warmup period (i.e., keep-alive cost). In this paper, we introduce IceBreaker, a novel technique that reduces the service time and the "keep-alive" cost by composing a system with heterogeneous nodes (costly and cheaper). IceBreaker does so by dynamically determining the cost-effective node type to warm up a function based on the function's time-varying probability of the next invocation. By employing heterogeneity, IceBreaker allows for more number of nodes under the same cost budget and hence, keeps more number of functions warm and reduces the wait time during high load. Our real-system evaluation confirms that IceBreaker reduces the overall keep-alive cost by 45% and execution time by 27% using representative serverless applications and industry-grade workload trace. IceBreaker is the first technique to employ and leverage the idea of mixing expensive and cheaper nodes to improve both service time and keep-alive cost for serverless functions -- opening up a new research avenue of serverless computing on heterogeneous servers for researchers and practitioners.

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Cited By

Feng BDing Z(2025)Application-Oriented Cloud Workload Prediction: A Survey and New PerspectivesTsinghua Science and Technology10.26599/TST.2024.901002430:1(34-54)Online publication date: Feb-2025
https://doi.org/10.26599/TST.2024.9010024
Chen QQian JChe YLin ZWang JZhou JSong LLiang YWu JZheng WLiu WLi LLiu FTan KSekar VYu MSeneviratne AVeitch D(2024)YuanRong: A Production General-purpose Serverless System for Distributed Applications in the CloudProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672216(843-859)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672216
Starc RKuchler TGiardino MKlimovic A(2024)Serverless? RISC more!Proceedings of the 2nd Workshop on SErverless Systems, Applications and MEthodologies10.1145/3642977.3652095(15-24)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3642977.3652095
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Index Terms

IceBreaker: warming serverless functions better with heterogeneity
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
      2. n-tier architectures
2. General and reference
  1. Cross-computing tools and techniques
    1. Performance

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cover image ACM Conferences

ASPLOS '22: Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

February 2022

1164 pages

ISBN:9781450392051

DOI:10.1145/3503222

General Chairs:
Babak Falsafi
EPFL, Switzerland
,
Michael Ferdman
Stony Brook University, USA
,
Program Chairs:
Shan Lu
University of Chicago, USA
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Tom Wenisch
University of Michigan, USA / Google, USA

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Chen QQian JChe YLin ZWang JZhou JSong LLiang YWu JZheng WLiu WLi LLiu FTan KSekar VYu MSeneviratne AVeitch D(2024)YuanRong: A Production General-purpose Serverless System for Distributed Applications in the CloudProceedings of the ACM SIGCOMM 2024 Conference10.1145/3651890.3672216(843-859)Online publication date: 4-Aug-2024
https://dl.acm.org/doi/10.1145/3651890.3672216
Starc RKuchler TGiardino MKlimovic A(2024)Serverless? RISC more!Proceedings of the 2nd Workshop on SErverless Systems, Applications and MEthodologies10.1145/3642977.3652095(15-24)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3642977.3652095
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Hong ZLin JGuo SLuo SChen WWattenhofer RYu Y(2024)Optimus: Warming Serverless ML Inference via Inter-Function Model TransformationProceedings of the Nineteenth European Conference on Computer Systems10.1145/3627703.3629567(1039-1053)Online publication date: 22-Apr-2024
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Bai YYang ZGao FMencagli GDazzi PLowenthal DBadia R(2024)Faast: An Efficient Serverless Framework Made Snapshot-based Function Response FastProceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing10.1145/3625549.3658681(174-185)Online publication date: 3-Jun-2024
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