research-article

Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud

ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 Conference

Pages 750 - 763

https://doi.org/10.1145/3651890.3672224

Published: 04 August 2024 Publication History

Abstract

Apsara vSwitch (AVS) is a per-host deployed forwarding component for instance network connectivity in the Alibaba Cloud. To meet the growing performance demands, we accelerated AVS by adopting the most widely used "Sep-path" offloading architecture, which introduces a separate hardware data path to speed up popular traffic. However, the deployment results prove that it is difficult to bridge the gap in performance and programming flexibility of the software and hardware data paths, resulting in unpredictable performance and low iteration velocity.

This paper introduces Triton, a flexible hardware offloading architecture for accelerating AVS. Triton stands out with a unified data path, where each packet passes serially through software and hardware processing to ensure predictable performance. For flexibility, Triton implements an elegant workload distribution model, which offloads generic tasks to hardware but maintains dynamic logic in software. Additionally, Triton integrates a series of cutting-edge software-hardware co-designs, including vector packet processing and header-payload slicing, to mitigate software bottlenecks and enhance forwarding efficiency. The deployment results compared to our prior solution based on "Sep-path" reveal that Triton achieves predictable high bandwidth and packet rate, and notably improves the connection establishment rate by 72%, with only 2μs increase in latency. More importantly, the flexibility and iteration velocity of the software in Triton will save development costs and bolster maintenance efficiency for cloud vendors.

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Cited By

Liu YGuo JJiang BZhang PSun XSong YRen WHou ZLyu BWen RZhu SWang XVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and OptimizationProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688436(635-650)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688436

Index Terms

Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
      1. Cloud computing
2. Networks
  1. Network services
    1. Programmable networks
  2. Network types
    1. Data center networks

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cover image ACM Conferences

ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 Conference

August 2024

1033 pages

ISBN:9798400706141

DOI:10.1145/3651890

Co-chairs:
Aruna Seneviratne,
Darryl Veitch,
Program Co-chairs:
Vyas Sekar,
Minlan Yu

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Published: 04 August 2024

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National Key R&D Program of Zhejiang Province
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Cited By

Liu YGuo JJiang BZhang PSun XSong YRen WHou ZLyu BWen RZhu SWang XVallina-Rodríguez NSuarez-Tángil GLevin DPelsser C(2024)Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and OptimizationProceedings of the 2024 ACM on Internet Measurement Conference10.1145/3646547.3688436(635-650)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3646547.3688436

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