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Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms

Authors:

Vivek M. Bhasi,

Jashwant Raj Gunasekaran,

Mahmut Taylan Kandemir,

Chita DasAuthors Info & Claims

SoCC '22: Proceedings of the 13th Symposium on Cloud Computing

Pages 257 - 272

https://doi.org/10.1145/3542929.3563464

Published: 07 November 2022 Publication History

Abstract

The growing popularity of the serverless platform has seen an increase in the number and variety of applications (apps) being deployed on it. The majority of these apps process user-provided input to produce the desired results. Existing work in the area of input-sensitive profiling has empirically shown that many such apps have input size-dependent execution times which can be determined through modelling techniques. Nevertheless, existing serverless resource management frameworks are agnostic to the input size-sensitive nature of these apps. We demonstrate in this paper that this can potentially lead to container over-provisioning and/or end-to-end Service Level Objective (SLO) violations. To address this, we propose Cypress, an input size-sensitive resource management framework, that minimizes the containers provisioned for apps, while ensuring a high degree of SLO compliance. We perform an extensive evaluation of Cypress on top of a Kubernetes-managed cluster using 5 apps from the AWS Serverless Application Repository and/or Open-FaaS Function Store with real-world traces and varied input size distributions. Our experimental results show that Cypress spawns up to 66% fewer containers, thereby, improving container utilization and saving cluster-wide energy by up to 2.95X and 23%, respectively, versus state-of-the-art frameworks, while remaining highly SLO-compliant (up to 99.99%).

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Cited By

Mohanty SBhasi VSon MKandemir MDas C(2024)FAAStloop: Optimizing Loop-Based Applications for Serverless ComputingProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698560(943-960)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3698038.3698560
Lertpongrujikorn PNguyen HSalehi M(2024)Streamlining Cloud-Native Application Development and Deployment with Robust EncapsulationProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698552(847-865)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3698038.3698552
Wu ZDeng YZhou YLi JPang SQin X(2024)FaaSBatch: Boosting Serverless Efficiency With In-Container Parallelism and Resource MultiplexingIEEE Transactions on Computers10.1109/TC.2024.335283473:4(1071-1085)Online publication date: 11-Jan-2024
https://dl.acm.org/doi/10.1109/TC.2024.3352834
Show More Cited By

Index Terms

Cypress: input size-sensitive container provisioning and request scheduling for serverless platforms
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing

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cover image ACM Conferences

SoCC '22: Proceedings of the 13th Symposium on Cloud Computing

November 2022

574 pages

ISBN:9781450394147

DOI:10.1145/3542929

General Chair:
Ada Gavrilovska
Georgia Institute of Technology
,
Program Chairs:
Deniz Altınbüken
Google Research
,
Carsten Binnig
TU Darmstadt

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Published: 07 November 2022

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Mohanty SBhasi VSon MKandemir MDas C(2024)FAAStloop: Optimizing Loop-Based Applications for Serverless ComputingProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698560(943-960)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3698038.3698560
Lertpongrujikorn PNguyen HSalehi M(2024)Streamlining Cloud-Native Application Development and Deployment with Robust EncapsulationProceedings of the 2024 ACM Symposium on Cloud Computing10.1145/3698038.3698552(847-865)Online publication date: 20-Nov-2024
https://dl.acm.org/doi/10.1145/3698038.3698552
Wu ZDeng YZhou YLi JPang SQin X(2024)FaaSBatch: Boosting Serverless Efficiency With In-Container Parallelism and Resource MultiplexingIEEE Transactions on Computers10.1109/TC.2024.335283473:4(1071-1085)Online publication date: 11-Jan-2024
https://dl.acm.org/doi/10.1109/TC.2024.3352834
Bhasi VSharma AMohanty SKandemir MDas C(2024)Paldia: Enabling SLO-Compliant and Cost-Effective Serverless Computing on Heterogeneous Hardware2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS57955.2024.00018(100-113)Online publication date: 27-May-2024
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