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Yingjiang Liu

dblp:60/8351 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0009-0004-9309-2115ORCID · reported

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

Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1 · 1 first-author · 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 · 67% Software-defined and programmable networks · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics › network telemetry
in-band network telemetry
0.812024
INT-Label: Lightweight In-Band Network-Wide Telemetry via Distributed Labeling · IEEE Trans. Parallel Distributed Syst. 2024
Software-defined and programmable networks
programmable data plane
0.812024
INT-Label: Lightweight In-Band Network-Wide Telemetry via Distributed Labeling · IEEE Trans. Parallel Distributed Syst. 2024

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

probabilistic labeling algorithm · 0.8feedback control · 0.8
YearPublicationVenuePosition
2025 CosmoBalancer: A Service-Aware Load Balancing System for High-Performance Satellite Service Clusters
Yingjiang Liu, Yiling Yang
APNet1
2024 INT-Label: Lightweight In-Band Network-Wide Telemetry via Distributed Labeling
abstract
In-band Network Telemetry (INT) enables hop-by-hop device-internal state exposure for maintaining and troubleshooting data center networks. To achievenetwork-widetelemetry coverage, orchestration on top of the INT primitive is required. A straightforward solution would flood the network with INT probe packets for maximum measurement coverage, which leads to a huge bandwidth overhead. A refined solution leverages the SDN controller to collect the network topology information and carry out centralized probing path planning, which, however, is inefficient in reacting to topology changes. To tackle the above problems, we proposeINT-label, a lightweight In-band Network-Wide Telemetry architecture via the distributed labeling approach. INT-label periodically labels the sampled packets with device-internal states. It is cost-effective with a minor bandwidth overhead and able to seamlessly adapt to topology changes. In order to reduce the number of labeled packets, we introduce a times-based probabilistic labeling algorithm, which allows fewer packets to carry more INT information than the interval-based algorithm. In addition, to counteract the degradation of telemetry resolution due to loss of labeled packets, we design a feedback mechanism which can adaptively change the instant labeling frequency. We provide theoretical proof that INT-label can achieve network-wide telemetry. We analyze the impact of transmission delay on coverage rate and labeling times distribution under the INT-label architecture. Evaluation on software P4 switches suggests that INT-label can achieve 99.72% measurement coverage under the labeling frequency of 20 times per second. With the adaptive labeling enabled, even if 60% of the packets are lost, the coverage can still reach 92%.
Enge Song, Tian Pan 0001, Haoyu Song 0001, Qiang Fu 0011, Yingjiang Liu, Chenhao Jia, Chuanying Yuan, Minglan Gao, Jiao Zhang 0002, Tao Huang 0005, Yunjie Liu 0001
IEEE Trans. Parallel Distributed Syst.5