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SPRIGHT: extracting the server from serverless computing! high-performance eBPF-based event-driven, shared-memory processing

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K. K. RamakrishnanAuthors Info & Claims

SIGCOMM '22: Proceedings of the ACM SIGCOMM 2022 Conference

Pages 780 - 794

https://doi.org/10.1145/3544216.3544259

Published: 22 August 2022 Publication History

Abstract

Serverless computing promises an efficient, low-cost compute capability in cloud environments. However, existing solutions, epitomized by open-source platforms such as Knative, include heavyweight components that undermine this goal of serverless computing. Additionally, such serverless platforms lack dataplane optimizations to achieve efficient, high-performance function chains that facilitate the popular microservices development paradigm. Their use of unnecessarily complex and duplicate capabilities for building function chains severely degrades performance. 'Cold-start' latency is another deterrent.

We describe SPRIGHT, a lightweight, high-performance, responsive serverless framework. SPRIGHT exploits shared memory processing and dramatically improves the scalability of the dataplane by avoiding unnecessary protocol processing and serialization-deserialization overheads. SPRIGHT extensively leverages event-driven processing with the extended Berkeley Packet Filter (eBPF). We creatively use eBPF's socket message mechanism to support shared memory processing, with overheads being strictly load-proportional. Compared to constantly-running, polling-based DPDK, SPRIGHT achieves the same dataplane performance with 10× less CPU usage under realistic workloads. Additionally, eBPF benefits SPRIGHT, by replacing heavyweight serverless components, allowing us to keep functions 'warm' with negligible penalty.

Our preliminary experimental results show that SPRIGHT achieves an order of magnitude improvement in throughput and latency compared to Knative, while substantially reducing CPU usage, and obviates the need for 'cold-start'.

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Cited By

Wen JChen ZSarro FWang S(2025)Unveiling overlooked performance variance in serverless computingEmpirical Software Engineering10.1007/s10664-025-10615-330:2Online publication date: 21-Jan-2025
https://doi.org/10.1007/s10664-025-10615-3
Fu YShi RWang HChen SCheng YBagchi SZhang Y(2024)ALPSProceedings of the 2024 USENIX Conference on Usenix Annual Technical Conference10.5555/3691992.3691994(19-36)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.5555/3691992.3691994
Zhang ZJin CJin XVanbever LZhang I(2024)JolteonProceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation10.5555/3691825.3691835(167-183)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.5555/3691825.3691835
Show More Cited By

Index Terms

SPRIGHT: extracting the server from serverless computing! high-performance eBPF-based event-driven, shared-memory processing
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Networks
  1. Network services
    1. Cloud computing

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cover image ACM Conferences

SIGCOMM '22: Proceedings of the ACM SIGCOMM 2022 Conference

August 2022

858 pages

ISBN:9781450394208

DOI:10.1145/3544216

General Chairs:
Fernando Kuipers
Delft University of Technology
,
Ariel Orda
Technion Israel Institute of Technology

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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Published: 22 August 2022

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August 22 - 26, 2022

Amsterdam, Netherlands

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Wen JChen ZSarro FWang S(2025)Unveiling overlooked performance variance in serverless computingEmpirical Software Engineering10.1007/s10664-025-10615-330:2Online publication date: 21-Jan-2025
https://doi.org/10.1007/s10664-025-10615-3
Fu YShi RWang HChen SCheng YBagchi SZhang Y(2024)ALPSProceedings of the 2024 USENIX Conference on Usenix Annual Technical Conference10.5555/3691992.3691994(19-36)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.5555/3691992.3691994
Zhang ZJin CJin XVanbever LZhang I(2024)JolteonProceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation10.5555/3691825.3691835(167-183)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.5555/3691825.3691835
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