EDBT 2026 Demo / reviewers in the wild / expert
Zhongqing Chen
dblp:351/5759
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 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
2 papers |
Transport protocols and congestion control · 57% Software-defined and programmable networks · 43% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Cloud and datacenter computing · 80% Storage systems · 20% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks
programmable data plane |
1.0 | 1 | 2026 | SmartNS: Enabling Line-rate and Flexible Network Stack with SmartNIC · EuroSys 2026 |
Cloud and datacenter computing › computation offloading › network function offloading
SmartNIC offload |
1.0 | 1 | 2026 | SmartNS: Enabling Line-rate and Flexible Network Stack with SmartNIC · EuroSys 2026 |
Transport protocols and congestion control
TCP |
0.7 | 1 | 2023 | Deploying User-space TCP at Cloud Scale with LUNA · USENIX ATC 2023 |
Transport protocols and congestion control › TCP
user-space TCP |
0.7 | 1 | 2023 | Deploying User-space TCP at Cloud Scale with LUNA · USENIX ATC 2023 |
Methods — techniques the papers use, named apart from their topics
in-cache processing · 2.0header-only offloading · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SmartNS: Enabling Line-rate and Flexible Network Stack with SmartNICabstractAs the gap between network and CPU speeds rapidly increases, the CPU-centric network stack proves inadequate due to excessive CPU and memory overheads. Though hardware-offloaded network stacks alleviate these issues, they suffer from limited flexibility in both control and data planes. It seems promising to offload network stacks to Smart-NICs to provide high flexibility. However, naive offloading leads to low throughput due to the inherent architectural limitations of widespread off-path SmartNICs. Even simple operations on staged network traffic would overwhelm the limited SmartNIC memory bandwidth. To this end, we design SmartNS, a SmartNIC-centric network stack with software transport programmability and line-rate packet processing capabilities. To tackle the limitations of SmartNIC-induced challenges, we propose a header-only offloading TX path and an unlimited-working-set in-cache processing RX path to minimize memory traffic to fit the wimpy SmartNIC memory bandwidth. To fully utilize the SmartNIC computing resources, we propose a programmable offloading engine to enable cloud providers to offload customized tasks along with the network stack processing. We prototype SmartNS using the widespread Nvidia BlueField-3 SmartNIC, and implement RoCEv2 and Solar transport protocols by leveraging SmartNS's software programmability. SmartNS achieves 2.2× higher throughput than the microkernel-based baseline in block storage disaggregation and 1.3× higher throughput than the hardware-offloaded baseline in KVCache transfer. Xuzheng Chen, Jie Zhang 0081, Baolin Zhu, Xueying Zhu, Zhongqing Chen, Lingjun Zhu, Yin Zhang 0006, Yuanchao Shu, Peng Cheng 0001, Zeke Wang |
EuroSys | 5 |
| 2023 | Deploying User-space TCP at Cloud Scale with LUNA
Lingjun Zhu, Erci Xu, Shuguang Chen, Xingyu Liao, Zhendan Yang, Zhongqing Chen, Yijun Hou, Jiaji Zhu, Jiesheng Wu |
USENIX ATC | 12 |