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Sequoia: enabling quality-of-service in serverless computing

Published: 12 October 2020 Publication History

Abstract

Serverless computing is a rapidly growing paradigm that easily harnesses the power of the cloud. With serverless computing, developers simply provide an event-driven function to cloud providers, and the provider seamlessly scales function invocations to meet demands as event-triggers occur. As current and future serverless offerings support a wide variety of serverless applications, effective techniques to manage serverless workloads becomes an important issue. This work examines current management and scheduling practices in cloud providers, uncovering many issues including inflated application run times, function drops, inefficient allocations, and other undocumented and unexpected behavior. To fix these issues, a new quality-of-service function scheduling and allocation framework, called Sequoia, is designed. Sequoia allows developers or administrators to easily def ne how serverless functions and applications should be deployed, capped, prioritized, or altered based on easily configured, flexible policies. Results with controlled and realistic workloads show Sequoia seamlessly adapts to policies, eliminates mid-chain drops, reduces queuing times by up to 6.4X, enforces tight chain-level fairness, and improves run-time performance up to 25X.

Supplementary Material

MP4 File (p311-tariq-presentation.mp4)

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      cover image ACM Conferences
      SoCC '20: Proceedings of the 11th ACM Symposium on Cloud Computing
      October 2020
      535 pages
      ISBN:9781450381376
      DOI:10.1145/3419111
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      New York, NY, United States

      Publication History

      Published: 12 October 2020

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      Author Tags

      1. measurement
      2. quality-of-service
      3. serverless computing

      Qualifiers

      • Research-article

      Funding Sources

      • Division of computer and network systems

      Conference

      SoCC '20
      Sponsor:
      SoCC '20: ACM Symposium on Cloud Computing
      October 19 - 21, 2020
      Virtual Event, USA

      Acceptance Rates

      SoCC '20 Paper Acceptance Rate 35 of 143 submissions, 24%;
      Overall Acceptance Rate 169 of 722 submissions, 23%

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      • (2024)Harmonizing efficiency and practicabilityProceedings of the 2024 USENIX Conference on Usenix Annual Technical Conference10.5555/3691992.3691993(1-17)Online publication date: 10-Jul-2024
      • (2024)SMWE: A Framework for Secure and Makespan-Oriented Workflow Execution in Serverless ComputingElectronics10.3390/electronics1316324613:16(3246)Online publication date: 15-Aug-2024
      • (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
      • (2024)Peeking Behind the Serverless Implementations and Deployments of the Montage WorkflowCompanion of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629527.3651420(196-203)Online publication date: 7-May-2024
      • (2024)FaaSRail: Employing Real Workloads to Generate Representative Load for Serverless ResearchProceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing10.1145/3625549.3658684(214-226)Online publication date: 3-Jun-2024
      • (2024)DirectFaaS: A Clean-Slate Network Architecture for Efficient Serverless Chain CommunicationsProceedings of the ACM Web Conference 202410.1145/3589334.3645333(2759-2767)Online publication date: 13-May-2024
      • (2024)SPRIGHT: High-Performance eBPF-Based Event-Driven, Shared-Memory Processing for Serverless ComputingIEEE/ACM Transactions on Networking10.1109/TNET.2024.336656132:3(2539-2554)Online publication date: Jun-2024
      • (2024)FaaSCtrl: A Comprehensive-Latency Controller for Serverless PlatformsIEEE Transactions on Cloud Computing10.1109/TCC.2024.347301512:4(1328-1343)Online publication date: Oct-2024
      • (2024)BaaSLess: Backend-as-a-Service (BaaS)-Enabled Workflows in Federated Serverless InfrastructuresIEEE Transactions on Cloud Computing10.1109/TCC.2024.343926812:4(1088-1102)Online publication date: Oct-2024
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