Yuantao Wu

dblp:333/4925 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
container orchestration
0.912025
X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025
Interconnection networks and networks-on-chip
inter-cluster communication
0.912025
X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025
Interconnection networks and networks-on-chip
low-latency communication
0.912025
X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025
Cloud and datacenter computing › container orchestration
kubernetes cluster management
0.312025
X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters · WWW 2025
YearPublicationVenuePosition
2025 X-ClusterLink: An Efficient Cross-Cluster Communication Framework in Multi-Kubernetes Clusters
abstract
Kubernetes 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
WWW3