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Asia-Pacific Network Operations and Management Symposium

APNOMS 2008: Challenges for Next Generation Network Operations and Service Management pp 565–568Cite as

Detection and Handling of TRUNK Congestion in the ATM Network

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5297))

Abstract

This paper presents a management structure and methodology for determining a root cause of trunk delay due to trunk congestion events. Based on trunk delay measurements, we conclude that a High Trunk Utilization (HTU) alert can be determined by correlating Constant Bit Rate (CBR) and Variable Bit Rate-non real time (VBR-nrt) trunk delay data. An automated adaptive procedure is developed to prevent trunk congestion before the user is impacted.

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References

  1. AT&T’s Customer Network Management (CNM), https://fastrakview.com/

  2. Method And Apparatus For Managing Packet Congestion, described in an application for Letters Patent of the United States, filed on June 15, 2007, under U.S. Serial No. 11/763,950

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  3. Wu, T., Yoshikai, N.: ATM Transport and Network Integrity. Academic Press, London (1997)

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Author information

Authors and Affiliations

  1. AT&T, 200 Laurel Ave, Middletown, NJ 07748, USA

    Charlie Yang, Chuan-Chuen Chang, Chi-Ming Chen, David Lu & Monowar Hossain

Authors
  1. Charlie Yang
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  2. Chuan-Chuen Chang
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  3. Chi-Ming Chen
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  4. David Lu
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  5. Monowar Hossain
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Editor information

Editors and Affiliations

  1. Network Information Center, Beijing University of Posts and Telecommunications, 100876, Beijing, China

    Yan Ma

  2. School of Electronic & Computer Engineering, Chonnam National University, 500-757, Gwangju, Republic of Korea

    Deokjai Choi

  3. Graduate School of Engineering Osaka City University, 3–3–138 Sugimoto, Sumiyoshi-ku, 558–8585, Osaka, Japan

    Shingo Ata

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yang, C., Chang, CC., Chen, CM., Lu, D., Hossain, M. (2008). Detection and Handling of TRUNK Congestion in the ATM Network. In: Ma, Y., Choi, D., Ata, S. (eds) Challenges for Next Generation Network Operations and Service Management. APNOMS 2008. Lecture Notes in Computer Science, vol 5297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88623-5_77

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  • DOI: https://doi.org/10.1007/978-3-540-88623-5_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88622-8

  • Online ISBN: 978-3-540-88623-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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