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Jonathan Goodman

dblp:12/6216 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Theory of computation · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
3 papers
Wireless networking · 37% Internet architecture and protocols · 23% Routing and switching · 20%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Routing and switching › adaptive routing
deflection routing
0.011993
Sharp approximate models of deflection routing in mesh networks · IEEE Trans. Commun. 1993
Wireless networking › multiple access protocols
binary exponential backoff
0.021988
Stability of binary exponential backoff · J. ACM 1988
On the Stability of the Ethernet · STOC 1985
Internet architecture and protocols › local area network
ethernet
0.021988
Stability of binary exponential backoff · J. ACM 1988
On the Stability of the Ethernet · STOC 1985
Wireless networking
medium access control
0.011988
Stability of binary exponential backoff · J. ACM 1988
Wireless networking › broadcast
multiple access broadcast networks
0.011988
Stability of binary exponential backoff · J. ACM 1988
Internet architecture and protocols
local area network
0.011985
On the Stability of the Ethernet · STOC 1985
Physical-layer communications › multiple access
multiple access channel
0.011985
On the Stability of the Ethernet · STOC 1985
Network performance modeling
stability analysis
0.011985
On the Stability of the Ethernet · STOC 1985
Network performance modeling
throughput and delay analysis
0.011993
Sharp approximate models of deflection routing in mesh networks · IEEE Trans. Commun. 1993

Methods — techniques the papers use, named apart from their topics

simulation · 0.0stochastic modeling · 0.0approximate performance modeling · 0.0stochastic analysis · 0.0queueing theory · 0.0
YearPublicationVenuePosition
1993 Sharp approximate models of deflection routing in mesh networks
abstract
Deflection routing is a simple, decentralized, and adaptive method for routing data packets in communication networks. The focus of this work is on deflection routing in the Manhattan street network (a two-dimensional directed mesh), although the analytic approach should apply to any regular network. Two approximate performance models that give sharp estimates of the steady-state throughput and the average packet delay for packets admitted to the network are presented. The results of extensive simulation experiments are reported, which corroborate the models' predictions. The results show that deflection routing is very effective. Two measures of the merit of a network for deflection routing are its diameter and its deflection index. Networks are presented whose diameter and deflection index are near the optimal values.>
Albert G. Greenberg, Jonathan Goodman
IEEE Trans. Commun.2
1988 Stability of binary exponential backoff
abstract
Binary exponential backoff is a randomized protocol for regulating transmissions on a multiple-access broadcast channel. Ethernet, a local-area network, is built upon this protocol. The fundamental theoretical issue is stability: Does the backlog of packets awaiting transmission remain bounded in time, provided the rates of new packet arrivals are small enough? It is assumedn≥ 2 stations share the channel, each having an infinite buffer where packets accumulate while the station attempts to transmit the first from the buffer. Here, it is established that binary exponential backoff is stable if the sum of the arrival rates is sufficiently small. Detailed results are obtained on which rates lead to stability whenn= 2 stations share the channel. In passing, several other results are derived bearing on the efficiency of the conflict resolution process. Simulation results are reported that, in particular, indicate alternative retransmission protocols can significantly improve performance.
Jonathan Goodman, Albert G. Greenberg, Neal Madras, Peter March
J. ACM1
1985 On the Stability of the Ethernet
abstract
We consider the stochastic behavior of binary exponential backoff, a probabilistic algorithm for regulating transmissions on a multiple access channel. Ethernet, a local area network, is built upon this algorithm. The fundamental theoretical issue is stability: does the backlog of packets awaiting transmission remain bounded in time, provided the rates of new packet arrivals are small enough?
Jonathan Goodman, Albert G. Greenberg, Neal Madras, Peter March
STOC1