VLDB 2026 Research / reviewers in the wild / expert
Daigo Kudoh
dblp:97/8786
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Vehicular, aerial and satellite networks · 23% Network optimization and economics · 23% Datacenter networks · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Datacenter networks
load balancing |
0.1 | 1 | 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks · Proc. IEEE 2011 |
Cellular and mobile networks
quality-of-service provisioning |
0.1 | 1 | 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks · Proc. IEEE 2011 |
Network optimization and economics
resource allocation |
0.1 | 1 | 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks · Proc. IEEE 2011 |
Vehicular, aerial and satellite networks
satellite networks |
0.1 | 1 | 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks · Proc. IEEE 2011 |
Network measurement and analytics
congestion prediction |
0.0 | 1 | 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks · Proc. IEEE 2011 |
Methods — techniques the papers use, named apart from their topics
traffic scheduling · 0.1congestion prediction · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite NetworksabstractWhile GEostationary Orbit (GEO) satellite systems provide us with a wide coverage area, their long delay serves as a significant constraint for real-time applications. On the other hand, Low Earth Orbit (LEO) satellite systems are best suited to delay sensitive applications. However, the coverage and mobility issues of LEO satellites lead to relatively high management costs. In this paper, we devise a new load balancing and quality of service (QoS) provisioning scheme to accommodate both real-time and non-real-time traffic based on a new congestion-prediction scheme. The effect of this new scheme is expected to improve the efficiency of the GEO/LEO hybrid satellite networks and the QoS satisfaction of end users. Hiroki Nishiyama 0001, Daigo Kudoh, Nei Kato, Naoto Kadowaki |
Proc. IEEE | 2 |