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Joseph E. Baker

dblp:165/3770 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Computer networks · 2 · 1 first-authorApplied, 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
3 papers
Wireless networking · 49% Internet architecture and protocols · 29% Network performance modeling · 22%
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
Wireless networking
medium access control
0.021990
Media access control for high-speed local area and metropolitan area communications networks · Proc. IEEE 1990
Performance Analysis for a Terminal-Priority Contentionless Access Algorithm for Multiple-Access Communications · IEEE Trans. Commun. 1986
Wireless networking › medium access control › MAC protocol
MAC protocol design
0.011990
Media access control for high-speed local area and metropolitan area communications networks · Proc. IEEE 1990
Internet architecture and protocols
metropolitan area network
0.011990
Media access control for high-speed local area and metropolitan area communications networks · Proc. IEEE 1990
Performance modeling and evaluation › delay analysis
mean waiting time analysis
0.011987
Polling with a General-Service Order Table · IEEE Trans. Commun. 1987
Performance modeling and evaluation › queueing models
polling systems
0.011987
Polling with a General-Service Order Table · IEEE Trans. Commun. 1987
Performance modeling and evaluation
queueing models
0.011987
Polling with a General-Service Order Table · IEEE Trans. Commun. 1987
Network performance modeling › queueing analysis
priority queueing
0.011986
Performance Analysis for a Terminal-Priority Contentionless Access Algorithm for Multiple-Access Communications · IEEE Trans. Commun. 1986
Network performance modeling
queueing analysis
0.011986
Performance Analysis for a Terminal-Priority Contentionless Access Algorithm for Multiple-Access Communications · IEEE Trans. Commun. 1986
Internet architecture and protocols › ISDN
broadband ISDN
0.011990
Media access control for high-speed local area and metropolitan area communications networks · Proc. IEEE 1990

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

random access · 0.0polling · 0.0demand-assignment reservation · 0.0TDMA · 0.0m/g/1 queue · 0.0head-of-line priority · 0.0
YearPublicationVenuePosition
1990 Media access control for high-speed local area and metropolitan area communications networks
abstract
The features, architectures, and principles of key media access control (MAC) schemes for high-speed LAN and MAN systems are categorized and reviewed. These architectures are related to the hierarchical structure of a telecommunications network. An overview is given of the MAC protocol operation of key local- and metropolitan-area network systems, as defined by standards committees, covering current methods as well as approaches for future broadband integrated services digital networks. Modeling and analysis techniques are then reviewed for key classes of relevant MAC schemes, including fixed-assignment time-division-multiaccess (TDMA) schemes; demand-assignment reservation schemes, involving, in particular, pure packet-switched, pure circuit-switched and hybrid-switched integrated-services demand-assignment TDMA and time-division-multiplexing structures; demand-assigned polling procedures; and random-access policies.>
Izhak Rubin, Joseph E. Baker
Proc. IEEE2
1987 Polling with a General-Service Order Table
abstract
This paper derives exact results for a polling system such as a token bus or token ring with exhaustive service and priority polling. The results can also be used to analyze a terminal controller with a generalservice order table. There areNstations in the system and the token is passed among them according to a polling table of lengthM (\geq N). Stations are given higher priority by being listed more frequently in the polling table. By a straightforward extension of results of Ferguson and Aminetzah [5] for systems with circular polling and exhaustive service, it is shown that in general, theNmean waiting times require the solution of a set ofM - Nsimultaneous equations and a set ofM(M - 1)simultaneous equations. We show that partial symmetry in the polling table and the station characteristics can be used to significantly reduce the number of equations which must be solved. We present the reduced equation set for a two-priority class system and apply the results to a large token-passing bus network in which a few nodes account for a substantial portion of the network traffic. We show that in the latter case, the overall_ average message waitmg time can be significantly reduced by using priority polling: average waiting times at the high-priority nodes have large reductions in return for a smaller increase at low-priority nodes.
Joseph E. Baker, Izhak Rubin
IEEE Trans. Commun.1
1986 Performance Analysis for a Terminal-Priority Contentionless Access Algorithm for Multiple-Access Communications
abstract
We consider a multiple-access broadcast communication channel which serves a network of terminals, each characterized by a distinct priority level. Higher priority terminals require, on the average, faster access across the communication channel than lower priority ones. We present a terminal priority contentionless access (TPCA) control scheme for sharing such a channel on a conflict-free basis. A ready terminal wishing to access the channel will wait for the channel to become idle, and then defer its access untill after higher priority terminals are given the opportunity to transmit. The model accounts for acquisition delays (including propagation and timearound delay components), idle detection times, multipacket message structures and different arrival intensities at different terminals, Analytical results are derived for the moments and transform of the message waiting-time distribution at each network terminal by relating the waiting times in our model to those in an appropriateM/G/1queue with HOL (head of the line) priorities. Performance curves are presented under varirous system parameter conditions which correspond to applications involving digital radio local distribution systems and metropolitan-area, packet radio, and local-area communicatiton networks.
Izhak Rubin, Joseph E. Baker
IEEE Trans. Commun.2