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Hanglong Lyu

dblp:436/7819 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-3696-581XORCID · reported

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

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network measurement and analytics · 70% Software-defined and programmable networks · 23% Datacenter networks · 7%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
flow monitoring
1.012026
FlowLog: Byte-Level Flow Monitoring System in High-Throughput Networks · IEEE Trans. Netw. 2026
Network measurement and analytics › traffic measurement › flow measurement
flow size estimation
1.012026
FlowLog: Byte-Level Flow Monitoring System in High-Throughput Networks · IEEE Trans. Netw. 2026
Software-defined and programmable networks
programmable data plane
1.012026
FlowLog: Byte-Level Flow Monitoring System in High-Throughput Networks · IEEE Trans. Netw. 2026
Network measurement and analytics › sketch-based measurement
sketch-based monitoring
1.012026
FlowLog: Byte-Level Flow Monitoring System in High-Throughput Networks · IEEE Trans. Netw. 2026

Methods — techniques the papers use, named apart from their topics

sketching algorithms · 1.0p4 · 1.0
YearPublicationVenuePosition
2026 FlowLog: Byte-Level Flow Monitoring System in High-Throughput Networks
abstract
Gateways based on the programmable P4 language are becoming a key component in data center traffic management, offering cost-effective solutions for high-throughput environments. However, traditional monitoring techniques like sFlow and NetFlow lack the needed precision to meet the demands of large-scale data centers. In this paper, we presentFlowLog, the first sketch-based and end-to-end flow monitoring system capable of accurate flow size estimation in 400 Gbps production environments. FlowLog integrates the novelByteSketchalgorithm, a transmission subsystem, and a high-speed analysis subsystem, achieving high accuracy even in demanding data center scenarios. Deployed for over six months in ByteDance’s data center with peak bandwidths exceeding 400 Gbps, FlowLog outperforms existing solutions such as Bytehunter sFlow and state-of-the-art sketches in both accuracy and efficiency. Additionally, through real-world deployment, we gained valuable insights that guided improvements in system compatibility, integration ease, and traffic detection. These lessons resulted in a more adaptable system, better handling complex traffic patterns and ensuring minimal overhead during monitoring.
Mingwei Cui, Long Chen 0025, Qiuheng Yin, Hanglong Lyu, Yisen Hong, Tong Yang 0003, Yangyang Bai
IEEE Trans. Netw.4