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A service level model and Internet mobility monitor
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2008 (English)In: Telecommunications Systems, ISSN 1018-4864, E-ISSN 1572-9451, Vol. 37, no 1-3, 49-70 p.Article in journal (Refereed) Published
Abstract [en]

Mobility is gaining a tremendous interest among Internet users and wireless access networks are increasingly being installed to enable mobile usage. Internet mobility requires solutions to move between access networks with maintained network connectivity. Seamless mobility in turn means that the experience of using a service is unaffected while being mobile. Communication in next generation networks will use multiple access technologies, creating a heterogeneous network environment. Further, roaming between network service providers may take place. To enable mobile nodes to move between access networks within as well as between network service providers with minimal disruption, nodes should be able to maintain multiple active network connections. With the usage of multihomed nodes, seamless mobility can be achieved in already installed infrastructures, not providing mobility support. Mobility in heterogeneous access networks also requires network selections that scale for services. In this article we propose an architecture where application service providers and network service providers define service levels to be used by a mobile node and its user. The user selects a service and the service level from an application service provider. When performing access network selection, information received as part of an application service level will be used to find a network that supports the service required. The performance of available access networks will be monitored and considered when making the decision. Our proposed architecture provides solutions to move flows between interfaces in real-time based on network performance, quality of service signalling to correspondent nodes, and cancellation of flows to give way for more important traffic.

Place, publisher, year, edition, pages
2008. Vol. 37, no 1-3, 49-70 p.
Research subject
Mobile and Pervasive Computing
URN: urn:nbn:se:ltu:diva-15568DOI: 10.1007/s11235-008-9072-6Local ID: f19dc690-e483-11dc-b4b0-000ea68e967bOAI: diva2:988542
Validerad; 2008; 20080226 (ysko)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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