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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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* [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] | ||
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| + | * [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 | ||
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| + | * [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] | ||
Revision as of 17:10, 21 January 2021
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.
Original document
The different versions of the original document can be found in:
- http://dx.doi.org/10.1007/978-0-387-35673-0_22 under the license http://www.springer.com/tdm
Document information
Published on 01/01/2013
Volume 2013, 2013
DOI: 10.1007/978-0-387-35673-0_22
Licence: CC BY-NC-SA license
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