Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiangli Song
dblp:364/7653
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
0009-0004-7457-4370ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 3 · 3 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
3 papers |
Datacenter networks · 42% Network optimization and economics · 35% Optical networks · 19% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › network scheduling
on-demand scheduling |
2.4 | 3 | 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network · IEEE Trans. Netw. 2026 NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network · SIGCOMM 2024 Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center Network · ICNP 2023 |
Datacenter networks
reconfigurable datacenter network |
2.4 | 3 | 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network · IEEE Trans. Netw. 2026 NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter Network · SIGCOMM 2024 Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center Network · ICNP 2023 |
Optical networks
optical switching |
1.7 | 2 | 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network · IEEE Trans. Netw. 2026 Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center Network · ICNP 2023 |
Datacenter networks › datacenter transport
flow completion time |
1.0 | 1 | 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network · IEEE Trans. Netw. 2026 |
Network optimization and economics
network scheduling |
0.7 | 1 | 2023 | Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center Network · ICNP 2023 |
Wireless networking › scheduling
distributed scheduling |
0.3 | 1 | 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter Network · IEEE Trans. Netw. 2026 |
Methods — techniques the papers use, named apart from their topics
simulation · 1.0large-scale simulation · 0.8in-band control plane · 0.8in-band control protocol · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NegotiaToR: Toward a Simple Yet Effective On-Demand Reconfigurable Datacenter NetworkabstractRecent advances in fast optical switching show promise in meeting the high goodput and low latency requirements of datacenter networks. We present NegotiaToR, a simple network architecture for optical reconfigurable DCNs that utilizes on-demand scheduling to handle dynamic traffic. In NegotiaToR, racks exchange scheduling messages through an in-band control plane and distributedly calculate non-conflicting paths from binary traffic demand information. Optimized for incasts, it also provides opportunities to bypass scheduling delays. NegotiaToR is compatible with prevalent flat topologies, and is tailored towards a minimalist design for on-demand reconfigurable DCNs, enhancing practicality. Through large-scale simulations, we show that NegotiaToR achieves both small mice flow completion time and high goodput on two representative flat topologies, especially under heavy loads. Particularly, the flow completion time of mice flows is one to two orders of magnitude better than the state-of-the-art traffic-oblivious reconfigurable DCN design. Cong Liang 0005, Xiangli Song, Mowei Wang, Yashe Liu, Zhenhua Liu 0008, Shizhen Zhao, Yong Cui 0001 |
IEEE Trans. Netw. | 2 |
| 2024 | NegotiaToR: Towards A Simple Yet Effective On-demand Reconfigurable Datacenter NetworkabstractRecent advances in fast optical switching technology show promise in meeting the high goodput and low latency requirements of datacenter networks (DCN). We present NegotiaToR, a simple network architecture for optical reconfigurable DCNs that utilizes on-demand scheduling to handle dynamic traffic. In NegotiaToR, racks exchange scheduling messages through an in-band control plane and distributedly calculate non-conflicting paths from binary traffic demand information. Optimized for incasts, it also provides opportunities to bypass scheduling delays. NegotiaToR is compatible with prevalent flat topologies, and is tailored towards a minimalist design for on-demand reconfigurable DCNs, enhancing practicality. Through large-scale simulations, we show that NegotiaToR achieves both small mice flow completion time (FCT) and high goodput on two representative flat topologies, especially under heavy loads. Particularly, the FCT of mice flows is one to two orders of magnitude better than the state-of-the-art traffic-oblivious reconfigurable DCN design. Cong Liang 0005, Xiangli Song, Mowei Wang, Yashe Liu, Zhenhua Liu 0008, Shizhen Zhao, Yong Cui 0001 |
SIGCOMM | 2 |
| 2023 | Poster: NegotiaToR: A Simple On-Demand Reconfigurable Data Center NetworkabstractOptical switching technology has developed fast in recent years, which has the potential to provide high good put as well as low latency in reconfigurable data center networks (RDCN). However, existing optical RDCN proposals fail to balance good put, latency, and design complexity well. In this paper, we introduce NegotiaToR, a simple optical RDCN architecture. NegotiaToR utilizes on-demand scheduling to ensure high performance and reduces possible deployment complexity with an in-band control protocol to do the schedule distributedly. Our preliminary evaluation shows that NegotiaToR outperforms the state-of-the-art optical RDCN proposal under similar complexity in both goodput and flow completion time (FCT). Cong Liang 0005, Xiangli Song, Mowei Wang, Yashe Liu, Zhenhua Liu 0008, Yong Cui 0001 |
ICNP | 2 |