EDBT 2026 Demo / reviewers in the wild / expert
Yuantao Wu
dblp:333/4925
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0002-0277-1450ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Interconnection networks and networks-on-chip · 61% Cloud and datacenter computing · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cloud and datacenter computing
container orchestration |
0.9 | 1 | 2025 | X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025 |
Interconnection networks and networks-on-chip
inter-cluster communication |
0.9 | 1 | 2025 | X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025 |
Interconnection networks and networks-on-chip
low-latency communication |
0.9 | 1 | 2025 | X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025 |
Cloud and datacenter computing › container orchestration
kubernetes cluster management |
0.3 | 1 | 2025 | X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes ClustersabstractKubernetes is widely adopted by enterprises to enhance service availability for applications such as web services and large-scale model training, due to its advantages in managing containerized applications. As service demands increase, a single Kubernetes cluster often becomes insufficient, leading to the trend of using multiple clusters to improve service scalability. However, achieving efficient cross-cluster communication poses significant challenges due to the need for low latency, high throughput, and strong robustness. Existing methods for cross-cluster communication either employ a centralized control plane, which becomes a communication bottleneck, or use numerous service-bound proxies, leading to increased management complexity and possibly compromised robustness in cross-cluster communication. Gongming Zhao, Yuantao Wu, Hongli Xu 0001, Haibo Wang 0004 |
WWW | 3 |