Guoyuan Yuan

dblp:294/1836 · DBLP profile ↗
← Back
7ranked-venue papers
2as first author
7since 2021 · last 2025
0009-0002-7814-9609ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 1 first-author · 4 since 2021Systems, architecture and hardware · 3 · 1 first-author · 3 since 2021
YearPublicationVenuePosition
2025 BCN: Enhanced Backpressure Flow Control with Rapid Notification in Datacenter Networks
Dinghuang Hu, Dezun Dong, Cunlu Li, Zejia Zhou, Guoyuan Yuan
Comput. Networks6
2024 ACU: Aggregator-based Congestion control and link Utilization optimization strategy for multi-tenant in-network aggregation
Guoyuan Yuan, Dezun Dong
APNet2
2024 AQC: Achieving Precise Bandwidth Allocation with Augmented Queues for Credit-Based Proactive Congestion Control
Yani Gong, Dinghuang Hu, Cunlu Li, Guoyuan Yuan, Dezun Dong
ICA3PP (3)5
2024 TAB: Traffic-Aware Buffer Management on Programmable Switches
Hongze Zhou, Dinghuang Hu, Guoyuan Yuan, Zejia Zhou, Dezun Dong
NPC (2)3
2023 EagerCC: An ultra-low latency congestion control mechanism in datacenter networks
Guoyuan Yuan, Dezun Dong
Comput. Networks2
2021 Breaking One-RTT Barrier: Ultra-Precise and Efficient Congestion Control in Datacenter Networks
abstract
Congestion control is crucial to the overall performance of datacenter networks and still faces great challenges, especially when network traffic exhibits complicated and time-varying patterns, from long-running flows to burst short-lived flows. Recently congestion control techniques based on in-network-telemetry (INT) are emerging as the promising approach to enable precise flow control. Existing INT-based method mainly relies on receiver ACK packets to transfer INT data and acquire link load information. Their control precision in term of response time, however, is still beyond one round-trip time (RTT), since the receiver ACK feedback needs at least one RTT and the sender cannot obtain INT data of one flow within the first RTT. In this paper, we make the first attempt to explore INT-based techniques and break the one-RTT barrier efficiently. We come up with an ultra-precise and efficient congestion control algorithm, called UECC. UECC utilizes both switch-based and host-based INT simultaneously, and realizes accurate, timely and low-overhead flow control. We tackle the challenging issues of cooperation between the two types of INT and the additional overhead introduced by confirmation packets, and conduct extensive experiments to evaluate the performance of our design. The results show that UECC achieves 42% reduction in average queue length compared to the state-of-the-art INT-based method, and 5% reduction in 95th-percentile flow completion time.
Guoyuan Yuan, Dezun Dong, Shan Huang 0002
ICCCN1
2021 MPICC: Multi-Path INT-Based Congestion Control in Datacenter Networks
Guoyuan Yuan, Dezun Dong, Xingyun Qi, Baokang Zhao
NPC1