Demo Data from EDBT 2026 / reviewers in the wild / expert
Ken Katayama
dblp:28/3599
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 |
Network performance modeling · 50% Internet architecture and protocols · 38% Routing and switching · 12% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Internet architecture and protocols › buffer management
input buffer limits |
0.0 | 1 | 1991 | Performance and Stability Aspects of Congestion Control by Input Buffer Limiting in Store and Forward Networks · INFOCOM 1991 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1991 | Input buffer limiting: behavior analysis of a node throughout the range of blocking probabilities · IEEE Trans. Commun. 1991 |
Network performance modeling
stability analysis |
0.0 | 1 | 1991 | Performance and Stability Aspects of Congestion Control by Input Buffer Limiting in Store and Forward Networks · INFOCOM 1991 |
Routing and switching › packet switching
store-and-forward network |
0.0 | 1 | 1991 | Performance and Stability Aspects of Congestion Control by Input Buffer Limiting in Store and Forward Networks · INFOCOM 1991 |
Methods — techniques the papers use, named apart from their topics
state-dependent rate model · 0.0simulation · 0.0queueing theory · 0.0potential function analysis · 0.0catastrophe theory · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Performance and Stability Aspects of Congestion Control by Input Buffer Limiting in Store and Forward NetworksabstractStore-and-forward techniques in computer communication networks are addressed. The performance estimation and the stability aspects of an input buffer limiting (IBL) scheme are presented. The model is formulated with respect to the state-dependent effective input rate and effective service rate. The computation of the performance parameters with respect to the effective service rate yields satisfactory results when blocking probabilities are not restricted to very low values (> Jaidev Kaniyil, Yoshikuni Onozato, Ken Katayama, Shoichi Noguchi |
INFOCOM | 3 |
| 1991 | Input buffer limiting: behavior analysis of a node throughout the range of blocking probabilitiesabstractA numerical method is suggested for estimating the performance parameters of a node with input buffer limiting, throughout the range of blocking probabilities. Congestion is attributed to the sudden increase in the effective service time when the input rate increases. This sudden increase, resulting in the thrashing of the throughput rate, can be related to changes in the shape of the potential function of the node. The methodology of deriving the potential function of the node from its gradient dynamics and dynamic flow conservation considerations is presented. Using the results from catastrophe theory, it is shown that the abrupt changes in the throughput can be expected due to the existence of a catastrophe point in the parameter space. The behavior of a node in a homogeneous network can be characterized by a fold catastrophe. The simulation results are found to agree with the results obtained by the numerical method.> Jaidev Kaniyil, Yoshikuni Onozato, Ken Katayama, Shoichi Noguchi |
IEEE Trans. Commun. | 3 |