Demo Data from VLDB 2026 / reviewers in the wild / expert
Darren Platt
dblp:08/3848
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 |
Wireless networking · 67% Network performance modeling · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
multiple access protocols |
0.0 | 1 | 1996 | Performance of a Pi Persistent Protocol Subject to Correlated Gaussian Traffic · INFOCOM 1996 |
Wireless networking › multiple access protocols
pi-persistent protocol |
0.0 | 1 | 1996 | Performance of a Pi Persistent Protocol Subject to Correlated Gaussian Traffic · INFOCOM 1996 |
Network performance modeling
queueing analysis |
0.0 | 1 | 1996 | Performance of a Pi Persistent Protocol Subject to Correlated Gaussian Traffic · INFOCOM 1996 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 1996 | Performance of a Pi Persistent Protocol Subject to Correlated Gaussian Traffic · INFOCOM 1996 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0analytical approximation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Performance of a Pi Persistent Protocol Subject to Correlated Gaussian TrafficabstractWe consider the P/sub i/-persistent protocol and we derive approximate analytical results for the unfinished work distribution at each node on the bus under the assumption that the arrival process at each node follows a discrete time Gaussian process. A deterministic version of the protocol, which reduces the variance of the service process and therefore improves queueing performance, is also considered. The solution is simple and fast to compute and is not overly sensitive to the number of nodes. Simulation results indicate that the results are accurate so long as the performance can be accurately approximated based on the dominant effect of an exponential tail in the distribution of queued load. The results are also applicable to a single server Gaussian queue with priorities. Ron Addie, Darren Platt, Moshe Zukerman |
INFOCOM | 2 |