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Highly available and resilient networks play a decisive role in today's networked world. As network faults are inevitable and networks are becoming constantly intricate, finding effective fault recovery solutions in a timely manner is becoming a challenging task for administrators. Therefore, an automated mechanism to support fault resolution is essential towards efficient fault handling process. In this paper we propose an architecture to support automated fault recovery in terms of traffic engineering, recovery knowledge discovery and automated recovery planning. We base our discussion on an application scenario for recovery from border router failure to maintain optimized configuration of outbound inter-domain traffic.
 
Highly available and resilient networks play a decisive role in today's networked world. As network faults are inevitable and networks are becoming constantly intricate, finding effective fault recovery solutions in a timely manner is becoming a challenging task for administrators. Therefore, an automated mechanism to support fault resolution is essential towards efficient fault handling process. In this paper we propose an architecture to support automated fault recovery in terms of traffic engineering, recovery knowledge discovery and automated recovery planning. We base our discussion on an application scenario for recovery from border router failure to maintain optimized configuration of outbound inter-domain traffic.
 
Document type: Part of book or chapter of book
 
 
== Full document ==
 
<pdf>Media:Draft_Content_690293488-beopen730-3340-document.pdf</pdf>
 
  
  
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* [https://link.springer.com/content/pdf/10.1007%2F978-3-540-70587-1_9.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-70587-1_9.pdf]
 
* [https://link.springer.com/content/pdf/10.1007%2F978-3-540-70587-1_9.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-70587-1_9.pdf]
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* [http://link.springer.com/content/pdf/10.1007/978-3-540-70587-1_9 http://link.springer.com/content/pdf/10.1007/978-3-540-70587-1_9],
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: [http://dx.doi.org/10.1007/978-3-540-70587-1_9 http://dx.doi.org/10.1007/978-3-540-70587-1_9] under the license http://www.springer.com/tdm
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* [https://link.springer.com/10.1007/978-3-540-70587-1_9 https://link.springer.com/10.1007/978-3-540-70587-1_9],
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: [https://dblp.uni-trier.de/db/conf/aims/aims2008.html#LiuHTA08 https://dblp.uni-trier.de/db/conf/aims/aims2008.html#LiuHTA08],
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: [http://doi.org/10.1007/978-3-540-70587-1_9 http://doi.org/10.1007/978-3-540-70587-1_9],
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: [https://rd.springer.com/chapter/10.1007/978-3-540-70587-1_9 https://rd.springer.com/chapter/10.1007/978-3-540-70587-1_9],
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: [https://academic.microsoft.com/#/detail/1518322814 https://academic.microsoft.com/#/detail/1518322814]

Latest revision as of 15:28, 21 January 2021

Abstract

Highly available and resilient networks play a decisive role in today's networked world. As network faults are inevitable and networks are becoming constantly intricate, finding effective fault recovery solutions in a timely manner is becoming a challenging task for administrators. Therefore, an automated mechanism to support fault resolution is essential towards efficient fault handling process. In this paper we propose an architecture to support automated fault recovery in terms of traffic engineering, recovery knowledge discovery and automated recovery planning. We base our discussion on an application scenario for recovery from border router failure to maintain optimized configuration of outbound inter-domain traffic.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-540-70587-1_9 under the license http://www.springer.com/tdm
https://dblp.uni-trier.de/db/conf/aims/aims2008.html#LiuHTA08,
http://doi.org/10.1007/978-3-540-70587-1_9,
https://rd.springer.com/chapter/10.1007/978-3-540-70587-1_9,
https://academic.microsoft.com/#/detail/1518322814
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Published on 01/01/2008

Volume 2008, 2008
DOI: 10.1007/978-3-540-70587-1_9
Licence: CC BY-NC-SA license

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