Mobile networking

Abstract

Traffic engineering encompasses a set of techniques that can be used to control the flow of traffic in data networks. We discuss several of those techniques that have been developed during the last few years. Some techniques are focused on pure IP networks while others have been designed with emerging technologies for scalable Quality of Service (QoS) such as Differentiated Services and MPLS in mind. We first discuss traffic engineering techniques inside a single domain. We show that by using a non-linear programming formulation of the traffic engineering problem it is possible to meet the requirements of demanding customer traffic, while optimising the use of network resources, through the means of an automated provisioning system. We also extend the functionality of the traffic engineering system through policies. In the following, we discuss the techniques that can be used to control the flow of packets between domains. First, we briefly describe interdomain routing and the Border Gateway Protocol (BGP). Second, we summarise the characteristics of interdomain traffic based on measurements with two different Internet Service Providers. We show by simulations the limitations of several BGP-based traffic engineering techniques that are currently used on the Internet. Then, we discuss the utilisation of BGP to exchange QoS information between domains by using the QOS_NLRI attribute to allow BGP to select more optimum paths. Finally, we consider the multi-homing problem and analyse the current proposed IPv6 multi-homing solutions are analysed along with their impact on communication quality.

Original document

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

• http://hdl.handle.net/10016/2802

• http://hdl.handle.net/11367/55603

• https://e-archivo.uc3m.es/bitstream/10016/2802/1/internet%20traffic%20engineering.pdf

• https://hdl.handle.net/10067/505710151162165141

• http://hdl.handle.net/10016/4255,

https://www.doi.org/10.1007/b13823

• http://link.springer.com/content/pdf/10.1007/978-3-540-45190-7_4,

http://dx.doi.org/10.1007/978-3-540-45190-7_4

• http://link.springer.com/content/pdf/10.1007/978-3-540-45190-7_5,

http://dx.doi.org/10.1007/978-3-540-45190-7_5

• http://link.springer.com/content/pdf/10.1007/b13823.pdf,

http://link.springer.com/content/pdf/10.1007/b13823,

http://dx.doi.org/10.1007/b13823 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-540-45190-7_4,

https://core.ac.uk/display/34187839,

https://dial.uclouvain.be/pr/boreal/object/boreal:40493,

https://dblp.uni-trier.de/db/conf/qofis/final2003.html#BonaventureTPQABFGGGJSTU03,

https://www.scipedia.com/public/Karlsson_et_al_2013a,

https://dx.doi.org/10.1007/978-3-540-45190-7_4,

http://dx.doi.org/10.1007/978-3-540-45190-7_4,

http://discovery.ucl.ac.uk/1435262,

http://dspace.cityu.edu.hk/handle/2031/7340,

https://rd.springer.com/chapter/10.1007/978-3-540-45190-7_4,

https://academic.microsoft.com/#/detail/1917150425

• [ ]

DOIS: 10.1007/b13823 10.1007/978-3-540-45190-7_4 10.1007/978-3-540-45190-7_5