SIRD: A Sender-Informed, Receiver-Driven Datacenter Transport Protocol
Konstantinos Prasopoulos, Ryan Kosta, Edouard Bugnion, Marios Kogias
摘要
Datacenter congestion control protocols are challenged to navigate the throughput-buffering trade-off while relative packet buffer capacity is trending lower year-over-year. In this context, receiver-driven protocols -which schedule packet transmissions instead of reacting to congestion -excel when the bottleneck lies at the ToR-to-receiver link. However, when multiple receivers must use a shared link (e.g., ToR to Spine), their independent schedules can conflict.
We present SIRD, a receiver-driven congestion control protocol designed around the simple insight that single-owner links should be scheduled, while shared links should be managed with reactive control algorithms. The approach allows receivers to both precisely schedule their downlinks and to coordinate over shared bottlenecks. Critically, SIRD also treats sender uplinks as shared links, enabling the flow of congestion feedback from senders to receivers, which then adapt their scheduling to each sender's real-time capacity. This results in tight scheduling, enabling high bandwidth utilization with little contention, and thus minimal latency-inducing buffering in the fabric.
We implement SIRD on top of the Caladan stack and show that SIRD's asymmetric design can deliver 100Gbps in software while keeping network queuing minimal. We further compare SIRD to state-of-the-art receiver-driven protocols (Homa, dcPIM, and ExpressPass) and production-grade reactive protocols (Swift and DCTCP) and show that SIRD is uniquely able to simultaneously maximize link utilization, minimize queuing, and obtain near-optimal latency.
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引用它的顶会 Paper4
- CCC: Re-architecting Delay-based Congestion Control in Datacenter NetworksWanchun Jiang, Haoyang Li, Kai Wang, Yujie Hu 等NSDI 2026 · 被引用 1 次
- Svalinn: Overload Control in Large-Scale Servers with Multiple Resource BottlenecksBhaskar Subhash Pardeshi, Peidi Song, Ahmed SaeedOSDI 2026
- RoCE BALBOA: Service-Enhanced RDMA Offload Engine for Data Center SmartNICsMaximilian Jakob Heer, Benjamin Ramhorst, Yu Zhu, Luhao Liu 等OSDI 2026
- Rakaia: Scalable In-Kernel Scheduling for TCP-Based RPCsRui Yang, Konstantinos Prasopoulos, Edouard BugnionOSDI 2026
它引用的顶会 Paper17
- Swift: Delay is Simple and Effective for Congestion Control in the DatacenterGautam Kumar, Nandita Dukkipati, Keon Jang, Hassan M. G. Wassel 等SIGCOMM 2020 · 被引用 333 次
- Caladan: Mitigating Interference at Microsecond TimescalesJoshua Fried, Zhenyuan Ruan, Amy Ousterhout, Adam BelayOSDI 2020 · 被引用 213 次
- CASSINI: Network-Aware Job Scheduling in Machine Learning ClustersSudarsanan Rajasekaran, Manya Ghobadi, Aditya AkellaNSDI 2024 · 被引用 144 次
- Aeolus: A Building Block for Proactive Transport in DatacentersShuihai Hu, Wei Bai, Gaoxiong Zeng, Zilong Wang 等SIGCOMM 2020 · 被引用 138 次
- PowerTCP: Pushing the Performance Limits of Datacenter NetworksVamsi Addanki, Oliver Michel, Stefan SchmidNSDI 2022 · 被引用 116 次
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