Simulation study on the interactivity of failure detection and signaling congestion control in intelligent optical networks

Simulation study on the interactivity of failure detection and signaling congestion control in... The Intelligent Optical Network (ION) has emerged as a promising technology in the development of optical networks. ION has a separate control plane, where real-time processing is a most substantial feature. However, the complicated control and management infrastructure requires multiple protocols to cooperate in the same signaling network, and jitter may impair real-time processing, like fast failure detection. In this article, the interactivity of failure detection and network congestion control will be analyzed and proposed solutions will be evaluated by simulations. The failure detection protocol in the control plane is inherited from IP networks. However, there is a scalability problem in the ION when requiring fast detection time. Congestion in the signaling network may be caused by various events. It could be fatal when interacting with fast failure detection would trigger a positive feedback. Several solutions will be presented and analyzed with respect to fast and scalable failure detection and congestion control. We performed a series of intensive simulations to study the interactivity of failure detection and congestion control on the 32-node USNET. The simulation results show that the proposed Enhanced Hello protocol performs well in both fast detection mode and congestion state, especially with far less false failure alarms. The Retransmission Reduction mechanism, which is designed to alleviate congestion, can avoid message loss in some degree, but gives little improvement in other aspects. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Photonic Network Communications Springer Journals

Simulation study on the interactivity of failure detection and signaling congestion control in intelligent optical networks

Loading next page...
 
/lp/springer_journal/simulation-study-on-the-interactivity-of-failure-detection-and-PuITBPGsDw
Publisher
Springer US
Copyright
Copyright © 2007 by Springer Science+Business Media, LLC
Subject
Computer Science; Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials
ISSN
1387-974X
eISSN
1572-8188
D.O.I.
10.1007/s11107-007-0063-4
Publisher site
See Article on Publisher Site

Abstract

The Intelligent Optical Network (ION) has emerged as a promising technology in the development of optical networks. ION has a separate control plane, where real-time processing is a most substantial feature. However, the complicated control and management infrastructure requires multiple protocols to cooperate in the same signaling network, and jitter may impair real-time processing, like fast failure detection. In this article, the interactivity of failure detection and network congestion control will be analyzed and proposed solutions will be evaluated by simulations. The failure detection protocol in the control plane is inherited from IP networks. However, there is a scalability problem in the ION when requiring fast detection time. Congestion in the signaling network may be caused by various events. It could be fatal when interacting with fast failure detection would trigger a positive feedback. Several solutions will be presented and analyzed with respect to fast and scalable failure detection and congestion control. We performed a series of intensive simulations to study the interactivity of failure detection and congestion control on the 32-node USNET. The simulation results show that the proposed Enhanced Hello protocol performs well in both fast detection mode and congestion state, especially with far less false failure alarms. The Retransmission Reduction mechanism, which is designed to alleviate congestion, can avoid message loss in some degree, but gives little improvement in other aspects.

Journal

Photonic Network CommunicationsSpringer Journals

Published: Jul 6, 2007

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from Google Scholar, PubMed
Create lists to organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off