Triton: A Flexible Hardware Offloading Architecture for Accelerating Apsara vSwitch in Alibaba Cloud
Xing Li, Xiaochong Jiang, Ye Yang, Lilong Chen, Yi Wang, Chao Wang, Chao Xu, Yilong Lv, Bowen Yang, Taotao Wu, Haifeng Gao, Zikang Chen
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 top-tier papers6
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- TurboRetry: Mitigating Large-Scale QUIC Handshake Floods with Off-the-Shelf DPU OffloadingJiahao Wu, Heng Pan, Kai Lv, Zhenyu Li et al.CCS 2026
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- ZOC: Elastic and Cost-Efficient Virtual SmartNIC Architecture for Cloud Physical MachinesNaixuan Guan, Xiaokang Hu, Yisheng Xie, Xishi Qiu et al.NSDI 2026
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- PLB: congestion signals are simple and effective for network load balancingMubashir Adnan Qureshi, Yuchung Cheng, Qianwen Yin, Qiaobin Fu et al.SIGCOMM 2022 · 82 citations
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- VTrace: Automatic Diagnostic System for Persistent Packet Loss in Cloud-Scale Overlay NetworkChongrong Fang, Haoyu Liu, Mao Miao, Jie Ye et al.SIGCOMM 2020 · 34 citations
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