Liu et al 2008a - Revision history

Scipediacontent at 14:28, 21 January 2021

2021-01-21T14:28:16Z

Scipediacontent: Scipediacontent moved page Draft Content 690293488 to Liu et al 2008a

2020-10-14T13:10:51Z

Scipediacontent moved page Draft Content 690293488 to Liu et al 2008a

Scipediacontent: Created page with " == 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..."

2020-10-14T13:10:48Z

Created page with " == 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..."

New page

== 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.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_690293488-beopen730-3340-document.pdf</pdf>

== Original document ==

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

* [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]

← Older revision		Revision as of 14:28, 21 January 2021
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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.
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−	~~Document type: Part of book or chapter of book~~
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−	~~== 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]
		+
		+	* [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],
		+	: [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
		+
		+	* [https://link.springer.com/10.1007/978-3-540-70587-1_9 https://link.springer.com/10.1007/978-3-540-70587-1_9],
		+	: [https://dblp.uni-trier.de/db/conf/aims/aims2008.html#LiuHTA08 https://dblp.uni-trier.de/db/conf/aims/aims2008.html#LiuHTA08],
		+	: [http://doi.org/10.1007/978-3-540-70587-1_9 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://rd.springer.com/chapter/10.1007/978-3-540-70587-1_9],
		+	: [https://academic.microsoft.com/#/detail/1518322814 https://academic.microsoft.com/#/detail/1518322814]

← Older revision	Revision as of 13:10, 14 October 2020
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