Demo Data from SIGIR 2026 / reviewers in the wild / expert
Shawn Shuoshuo Chen
dblp:291/4612
· DBLP profile ↗
5ranked-venue papers
2as first author
5since 2021 · last 2026
0000-0001-8258-0851ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 5 · 2 first-author · 5 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
5 papers |
Software-defined and programmable networks · 37% Datacenter networks · 34% Routing and switching · 23% | |
| Computer architecture, parallel and distributed computing, and storage systems
3 papers |
Cloud and datacenter computing · 100% |
Topics — the 12 heaviest of 12, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Routing and switching
traffic engineering |
2.5 | 3 | 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers · IEEE Trans. Netw. 2026 Precise Data Center Traffic Engineering with Constrained Hardware Resources · NSDI 2024 Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 |
Software-defined and programmable networks
SDN control plane |
2.3 | 3 | 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers · IEEE Trans. Netw. 2026 Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 Orion: Google's Software-Defined Networking Control Plane · NSDI 2021 |
Software-defined and programmable networks › control plane
control plane partitioning |
1.8 | 2 | 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers · IEEE Trans. Netw. 2026 Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 |
Datacenter networks
load balancing |
1.8 | 2 | 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers · IEEE Trans. Netw. 2026 Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 |
Datacenter networks › datacenter transport
flow completion time optimization |
0.8 | 1 | 2024 | Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 |
Datacenter networks
reconfigurable datacenter network |
0.6 | 1 | 2022 | Time-division TCP for reconfigurable data center networks · SIGCOMM 2022 |
Transport protocols and congestion control
TCP congestion control |
0.6 | 1 | 2022 | Time-division TCP for reconfigurable data center networks · SIGCOMM 2022 |
Datacenter networks › reconfigurable datacenter network
time-varying topology |
0.6 | 1 | 2022 | Time-division TCP for reconfigurable data center networks · SIGCOMM 2022 |
Cloud and datacenter computing › datacenter network
datacenter network management |
0.5 | 2 | 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers · IEEE Trans. Netw. 2026 Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024 |
Transport protocols and congestion control
TCP variants |
0.2 | 1 | 2022 | Time-division TCP for reconfigurable data center networks · SIGCOMM 2022 |
Cloud and datacenter computing
datacenter network |
0.1 | 1 | 2021 | Orion: Google's Software-Defined Networking Control Plane · NSDI 2021 |
Cloud and datacenter computing › datacenter network
software-defined networking |
0.1 | 1 | 2021 | Orion: Google's Software-Defined Networking Control Plane · NSDI 2021 |
Methods — techniques the papers use, named apart from their topics
simulation · 2.1measurement study · 2.0traffic engineering · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data CentersabstractMany proposals have demonstrated the efficiency advantages of software-defined networking (SDN) in managing data center networks. Common practices employ centralized traffic engineering (TE) in the SDN control plane to optimize load balancing and throughput. Meanwhile, for high availability purposes, the control plane is partitioned to ensure the impact of a single faulty controller is contained. However, the interaction between these two aspects is often overlooked. In particular, we show that the current control plane partitioning approach leads to imbalanced link loads and degraded application performance. To address this issue, we proposevirtual slicing, a new control plane partitioning scheme. Virtual slicing achieves desirable traffic engineering performance while retaining the availability guarantees from the current approach. Virtual slicing is implemented and evaluated with real-world and synthetic traffic traces on production spine-free data center networks. Results show that virtual slicing reduces tail link utilizations by up to 28.4%, and improves flow completion times by up to 36%. Brian Chang, Keqiang He, Shawn Shuoshuo Chen, Mingyang Zhang 0005, Wenfei Wu, Fan Wu 0006, Chen Tian 0001, Aditya Akella |
IEEE Trans. Netw. | 3 |
| 2024 | Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data CentersabstractMany proposals have demonstrated the efficiency advantages of software-defined networking (SDN) in managing data center networks. Common practices employ centralized traffic engineering (TE) in the SDN control plane to optimize load balancing and throughput. Meanwhile, for high availability purposes, the control plane is partitioned to ensure the impact of a single faulty controller is contained. However, the interaction between these two aspects is often overlooked. In particular, we show that the current control plane partitioning approach leads to imbalanced link loads and degraded application performance. To address this issue, we propose virtual slicing, a new control plane partitioning scheme. Virtual slicing achieves desirable traffic engineering performance while retaining the availability guarantees from the current approach. Virtual slicing is implemented and evaluated with real-world and synthetic traffic traces on production spine-free data center networks. Results show that virtual slicing reduces tail link utilizations by up to 28.4 %, and improves flow completion times by up to 36 %. Brian Chang, Keqiang He, Shawn Shuoshuo Chen, Mingyang Zhang 0005, Wenfei Wu, Aditya Akella |
ICNP | 3 |
| 2024 | Precise Data Center Traffic Engineering with Constrained Hardware Resources
Shawn Shuoshuo Chen, Keqiang He, Rui Wang 0025, Srinivasan Seshan, Peter Steenkiste |
NSDI | 1 |
| 2022 | Time-division TCP for reconfigurable data center networksabstractRecent proposals for reconfigurable data center networks have shown that providing multiple time-varying paths can improve network capacity and lower physical latency. However, existing TCP variants are ill-suited to utilize available capacity because their congestion control cannot react quickly enough to drastic variations in bandwidth and latency. Shawn Shuoshuo Chen, Weiyang Wang, Christopher Canel, Srinivasan Seshan, Alex C. Snoeren, Peter Steenkiste |
SIGCOMM | 1 |
| 2021 | Orion: Google's Software-Defined Networking Control Plane
Andrew D. Ferguson, Steve D. Gribble, Chi-Yao Hong, Chip Killian, Waqar Mohsin, Henrik Mühe, Joon Ong, Leonid B. Poutievski, Lorenzo Vicisano, Richard Alimi, Shawn Shuoshuo Chen, Mike Conley, Subhasree Mandal, Karthik Nagaraj, Kondapa Naidu Bollineni, Amr Sabaa, Shidong Zhang, Amin Vahdat |
NSDI | 12 |