Murphy et al 2013a - Revision history

Scipediacontent at 10:26, 25 January 2021

2021-01-25T10:26:21Z

Scipediacontent at 15:10, 21 January 2021

2021-01-21T15:10:57Z

Scipediacontent: Scipediacontent moved page Draft Content 804932384 to Murphy et al 2013a

2020-10-14T13:26:38Z

Scipediacontent moved page Draft Content 804932384 to Murphy et al 2013a

Scipediacontent: Created page with " == Abstract == A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios...."

2020-10-14T13:26:36Z

Created page with " == Abstract == A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios...."

New page

== Abstract ==

A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios. The quality of the traffic engineering is comparable to that achievable using MPLS. The weights and splitting ratios can be calculated using linear programming techniques. This potentially allows the solution of very large problems of a scale often found in an ISP backbone. Furthermore changes to network topology or addition of new flows can be easily done without performing the whole optimisation procedure. The method we have presented here offers the ability to perform Traffic flow optimisation without maintaining any per flow state in routers and without introducing additional protocols or packet overhead, unlike MPLS which is commonly used for Traffic Engineering.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_804932384-beopen783-4381-document.pdf</pdf>

== Original document ==

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

* [https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf]

← Older revision		Revision as of 10:26, 25 January 2021
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	A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios. The quality of the traffic engineering is comparable to that achievable using MPLS. The weights and splitting ratios can be calculated using linear programming techniques. This potentially allows the solution of very large problems of a scale often found in an ISP backbone. Furthermore changes to network topology or addition of new flows can be easily done without performing the whole optimisation procedure. The method we have presented here offers the ability to perform Traffic flow optimisation without maintaining any per flow state in routers and without introducing additional protocols or packet overhead, unlike MPLS which is commonly used for Traffic Engineering.		A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios. The quality of the traffic engineering is comparable to that achievable using MPLS. The weights and splitting ratios can be calculated using linear programming techniques. This potentially allows the solution of very large problems of a scale often found in an ISP backbone. Furthermore changes to network topology or addition of new flows can be easily done without performing the whole optimisation procedure. The method we have presented here offers the ability to perform Traffic flow optimisation without maintaining any per flow state in routers and without introducing additional protocols or packet overhead, unlike MPLS which is commonly used for Traffic Engineering.
		+
		+	== Full document ==
		+	<pdf>Media:Murphy_et_al_2013a-beopen1235-7053-document.pdf</pdf>

← Older revision		Revision as of 15:10, 21 January 2021
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	A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios. The quality of the traffic engineering is comparable to that achievable using MPLS. The weights and splitting ratios can be calculated using linear programming techniques. This potentially allows the solution of very large problems of a scale often found in an ISP backbone. Furthermore changes to network topology or addition of new flows can be easily done without performing the whole optimisation procedure. The method we have presented here offers the ability to perform Traffic flow optimisation without maintaining any per flow state in routers and without introducing additional protocols or packet overhead, unlike MPLS which is commonly used for Traffic Engineering.		A method is proposed to perform traffic engineering for Autonomous Systems by setting OSPF weights and distributing new metrics called node splitting ratios. The quality of the traffic engineering is comparable to that achievable using MPLS. The weights and splitting ratios can be calculated using linear programming techniques. This potentially allows the solution of very large problems of a scale often found in an ISP backbone. Furthermore changes to network topology or addition of new flows can be easily done without performing the whole optimisation procedure. The method we have presented here offers the ability to perform Traffic flow optimisation without maintaining any per flow state in routers and without introducing additional protocols or packet overhead, unlike MPLS which is commonly used for Traffic Engineering.
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−	~~Document type: Part of book or chapter of book~~
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−	~~== Full document ==~~
−	~~<pdf>Media:Draft_Content_804932384-beopen783-4381-document.pdf</pdf>~~


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	* [https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf]		* [https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf]
		+
		+	* [http://link.springer.com/content/pdf/10.1007/978-0-387-35673-0_22 http://link.springer.com/content/pdf/10.1007/978-0-387-35673-0_22],
		+	: [http://dx.doi.org/10.1007/978-0-387-35673-0_22 http://dx.doi.org/10.1007/978-0-387-35673-0_22] under the license http://www.springer.com/tdm
		+
		+	* [https://link.springer.com/chapter/10.1007/978-0-387-35673-0_22 https://link.springer.com/chapter/10.1007/978-0-387-35673-0_22],
		+	: [https://dblp.uni-trier.de/db/conf/interworking/interworking2002.html#MurphyHN02 https://dblp.uni-trier.de/db/conf/interworking/interworking2002.html#MurphyHN02],
		+	: [https://www.scipedia.com/public/Murphy_et_al_2013a https://www.scipedia.com/public/Murphy_et_al_2013a],
		+	: [https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf https://link.springer.com/content/pdf/10.1007%2F978-0-387-35673-0_22.pdf],
		+	: [https://academic.microsoft.com/#/detail/1593368222 https://academic.microsoft.com/#/detail/1593368222]

← Older revision	Revision as of 13:26, 14 October 2020
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