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A NEAT framework for enhanced end-host integration in SDN environments
Dell EMC, Ireland.
Dell EMC, Ireland.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed systems and communication, DISCO)ORCID iD: 0000-0001-7734-1653
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Karlstad University, Faculty of Economic Sciences, Communication and IT, Centre for HumanIT. (Distributed systems and communication, DISCO)ORCID iD: 0000-0001-7311-9334
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2017 (English)In: 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

SDN aims to facilitate the management of increasingly complex, dynamic network environments and optimize the use of the resources available therein with minimal operator intervention. To this end, SDN controllers maintain a global view of the network topology and its state. However, the extraction of information about network flows and other network metrics remains a non-trivial challenge. Network applications exhibit a wide range of properties, posing diverse, often conflicting, demands towards the network. As these requirements are typically not known, controllers must rely on error-prone heuristics to extract them. In this work, we develop a framework which allows applications deployed in an SDN environment to explicitly express their requirements to the network. Conversely, it allows network controllers to deploy policies on end-hosts and to supply applications with information about network paths, salient servers and other relevant metrics. The proposed approach opens the door for fine grained, application-aware resource optimization strategies in SDNs

Place, publisher, year, edition, pages
IEEE, 2017.
Keywords [en]
computer network management, optimisation, quality of service, resource allocation, software defined networking, telecommunication traffic
National Category
Computer Sciences Computer Engineering Telecommunications Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-65783DOI: 10.1109/NFV-SDN.2017.8169828ISI: 000426936400006ISBN: 978-1-5386-3285-7 (electronic)OAI: oai:DiVA.org:kau-65783DiVA, id: diva2:1176415
Conference
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). 6-8 Nov. 2017, Berlin, Germany
Available from: 2018-01-22 Created: 2018-01-22 Last updated: 2019-08-02Bibliographically approved

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Hernandez Benet, CristianBrunström, AnnaSantos, RicardoKassler, Andreas

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Hernandez Benet, CristianBrunström, AnnaSantos, RicardoKassler, Andreas
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