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Shawn Shuoshuo Chen

dblp:291/4612 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Routing and switching
traffic engineering
2.532026
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
2.332026
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
1.822026
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
1.822026
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
0.812024
Balancing Sdn Control Plane Availability and Traffic Engineering Efficiency in Data Centers · ICNP 2024
Datacenter networks
reconfigurable datacenter network
0.612022
Time-division TCP for reconfigurable data center networks · SIGCOMM 2022
Transport protocols and congestion control
TCP congestion control
0.612022
Time-division TCP for reconfigurable data center networks · SIGCOMM 2022
Datacenter networks › reconfigurable datacenter network
time-varying topology
0.612022
Time-division TCP for reconfigurable data center networks · SIGCOMM 2022
Cloud and datacenter computing › datacenter network
datacenter network management
0.522026
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
0.212022
Time-division TCP for reconfigurable data center networks · SIGCOMM 2022
Cloud and datacenter computing
datacenter network
0.112021
Orion: Google's Software-Defined Networking Control Plane · NSDI 2021
Cloud and datacenter computing › datacenter network
software-defined networking
0.112021
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
YearPublicationVenuePosition
2026 Virtual Slicing: Achieving Control Plane Availability and Traffic Engineering Efficiency in Data Centers
abstract
Many 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 Centers
abstract
Many 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
ICNP3
2024 Precise Data Center Traffic Engineering with Constrained Hardware Resources
Shawn Shuoshuo Chen, Keqiang He, Rui Wang 0025, Srinivasan Seshan, Peter Steenkiste
NSDI1
2022 Time-division TCP for reconfigurable data center networks
abstract
Recent 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
SIGCOMM1
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
NSDI12