Demo Data from EDBT 2026 / reviewers in the wild / expert
Brian Rogoff
dblp:15/5818
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 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 |
Wireless networking · 50% Network performance modeling · 44% Internet architecture and protocols · 6% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › multiple access protocols
backoff protocols |
0.0 | 2 | 1996 | Analysis of Backoff Protocols for Multiple Access Channels · SIAM J. Comput. 1996 Analysis of Backoff Protocols for Multiple Access Channels (Extended Abstract) · STOC 1987 |
Wireless networking
medium access control |
0.0 | 2 | 1996 | Analysis of Backoff Protocols for Multiple Access Channels · SIAM J. Comput. 1996 Analysis of Backoff Protocols for Multiple Access Channels (Extended Abstract) · STOC 1987 |
Network performance modeling
stability analysis |
0.0 | 2 | 1996 | Analysis of Backoff Protocols for Multiple Access Channels · SIAM J. Comput. 1996 Analysis of Backoff Protocols for Multiple Access Channels (Extended Abstract) · STOC 1987 |
Internet architecture and protocols › local area network
ethernet |
0.0 | 1 | 1996 | Analysis of Backoff Protocols for Multiple Access Channels · SIAM J. Comput. 1996 |
Methods — techniques the papers use, named apart from their topics
stochastic stability analysis · 0.0markov chain analysis · 0.0stochastic analysis · 0.0queueing analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Analysis of Backoff Protocols for Multiple Access ChannelsabstractIn this paper, we analyze the stochastic behavior of backoff protocols for multiple access channels such as the Ethernet. In particular, we prove that binary exponential backoff is unstable if the arrival rate of new messages at each station is $\tfrac{\lambda }{N}$ for any $\lambda > \frac{1}{2}$ and the number of stations N is sufficiently large. For small N, we prove that $\lambda \geqslant \lambda _0 + \frac{1}{{4N - 2}}$` implies instability, where $\lambda _0 \approx .567$. More importantly, we also prove that any superlinear polynomial backoff protocol (e.g., quadratic backoff) is stable for any set of arrival rates that sum to less than one and any number of stations. The results significantly extend the previous work in the area and provide the first examples of acknowledgment-based protocols known to be stable for a nonnegligible overall arrival rate distributed over an arbitrarily large number of stations. The results also disprove a popular assumption that exponential backoff is the best choice among acknowledgment-based protocols for systems with large overall arrival rates. Finally, we prove that any linear or sublinear backoff protocol is unstable if the arrival rate at each station is $\frac{\lambda }{N}$ for any fixed $\lambda $ and sufficiently large N. Johan Håstad, Frank Thomson Leighton, Brian Rogoff |
SIAM J. Comput. | 3 |
| 1987 | Analysis of Backoff Protocols for Multiple Access Channels (Extended Abstract)abstractIn the paper, we analyze the stochastic behavior of backoff protocols for multiple access channels such as the Ethernet. In particular, we prove that binary exponential backoff is unstable if the arrival rate of new messages at each station is λ/N for any number of stations N exceeding 1 and any overall arrival rate λ exceeding .567 + 1/4N - 2. More importantly, we also prove that any superlinear polynomial backoff protocol (e.g., quadratic backoff) is stable for any set of arrival rates that sum to less than one, and any number of stations. The results significantly extend the previous work in the area, and provide the first examples of acknowledgement based protocols known to be stable for a nonnegligible overall arrival rate distributed over an arbitrarily large number of stations. The results also disprove a popular assumption that exponential backoff is the best choice among acknowledgement based protocols for systems with large overall arrival rates. Finally, we prove that any linear or sublinear backoff protocol is unstable if the arrival rate at each station is λ/N for any fixed λ and sufficiently large N. Johan Håstad, Frank Thomson Leighton, Brian Rogoff |
STOC | 3 |