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ATM network: goals and challenges

Authors:

P. WangAuthors Info & Claims

Communications of the ACM, Volume 38, Issue 2

Pages 39 - 44

https://doi.org/10.1145/204826.204832

Published: 01 February 1995 Publication History

Abstract

Asynchronous transfer mode (ATM) can provide both circuit and packet-switching services with the same protocol, and this integration of circuit and packet-switching services can be beneficial in many ways. Four major benefits of the ATM technique are considered here: scalability, statistical multiplexing, traffic integration, and network simplicity. In the course of achieving those benefits, ATM makes compromises. In this article we assess the benefits and ensuing penalties of these compromises and put them into perspective.

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Cited By

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Brady WMcLoughlin KDoan TCrockett M(2021)How social learning amplifies moral outrage expression in online social networksScience Advances10.1126/sciadv.abe56417:33(eabe5641)Online publication date: 13-Aug-2021
https://doi.org/10.1126/sciadv.abe5641
Thornton MTamir D(2021)People accurately predict the transition probabilities between actionsScience Advances10.1126/sciadv.abd49957:9(eabd4995)Online publication date: 26-Feb-2021
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Index Terms

ATM network: goals and challenges
1. Networks
  1. Network protocols
  2. Network types
    1. Wired access networks

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Published In

cover image Communications of the ACM

Communications of the ACM Volume 38, Issue 2

Feb. 1995

103 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/204826

Editor:
Jacques Cohen

Issue’s Table of Contents

Copyright © 1995 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 February 1995

Published in CACM Volume 38, Issue 2

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Cited By

Mo LLv GWang BYang X(2022)Stratosphere: A Fast Virtual Circuit Switch Layer for Data Center NetworkElectronics10.3390/electronics1115242911:15(2429)Online publication date: 4-Aug-2022
https://doi.org/10.3390/electronics11152429
Brady WMcLoughlin KDoan TCrockett M(2021)How social learning amplifies moral outrage expression in online social networksScience Advances10.1126/sciadv.abe56417:33(eabe5641)Online publication date: 13-Aug-2021
https://doi.org/10.1126/sciadv.abe5641
Thornton MTamir D(2021)People accurately predict the transition probabilities between actionsScience Advances10.1126/sciadv.abd49957:9(eabd4995)Online publication date: 26-Feb-2021
https://doi.org/10.1126/sciadv.abd4995
Saul L(2020)A tractable latent variable model for nonlinear dimensionality reductionProceedings of the National Academy of Sciences10.1073/pnas.1916012117117:27(15403-15408)Online publication date: 22-Jun-2020
https://doi.org/10.1073/pnas.1916012117
Solomon ELega BSperling MKahana M(2019)Hippocampal theta codes for distances in semantic and temporal spacesProceedings of the National Academy of Sciences10.1073/pnas.1906729116116:48(24343-24352)Online publication date: 13-Nov-2019
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Jordan KSterling JPennebaker JBoyd R(2019)Examining long-term trends in politics and culture through language of political leaders and cultural institutionsProceedings of the National Academy of Sciences10.1073/pnas.1811987116116:9(3476-3481)Online publication date: 11-Feb-2019
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Çukur THuth ANishimoto SGallant J(2016)Functional Subdomains within Scene-Selective Cortex: Parahippocampal Place Area, Retrosplenial Complex, and Occipital Place AreaThe Journal of Neuroscience10.1523/JNEUROSCI.4033-14.201636:40(10257-10273)Online publication date: 5-Oct-2016
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Luo YUzuner ÖSzolovits P(2016)Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relationsBriefings in Bioinformatics10.1093/bib/bbw00118:1(160-178)Online publication date: 5-Feb-2016
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Ullman SAssif LFetaya EHarari D(2016)Atoms of recognition in human and computer visionProceedings of the National Academy of Sciences10.1073/pnas.1513198113113:10(2744-2749)Online publication date: 16-Feb-2016
https://doi.org/10.1073/pnas.1513198113
Leroy GKauchak D(2014)The effect of word familiarity on actual and perceived text difficultyJournal of the American Medical Informatics Association10.1136/amiajnl-2013-00217221:e1(e169-e172)Online publication date: 1-Feb-2014
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