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A NEAT framework for enhanced end-host integration in SDN environments
Dell EMC, Ireland.
Dell EMC, Ireland.
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). (Distributed systems and communication, DISCO)ORCID-id: 0000-0001-7734-1653
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013). Karlstads universitet, Fakulteten för ekonomi, kommunikation och IT, Centrum för HumanIT. (Distributed systems and communication, DISCO)ORCID-id: 0000-0001-7311-9334
Vise andre og tillknytning
2017 (engelsk)Inngår i: 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
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

sted, utgiver, år, opplag, sider
IEEE, 2017.
Emneord [en]
computer network management, optimisation, quality of service, resource allocation, software defined networking, telecommunication traffic
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-65783DOI: 10.1109/NFV-SDN.2017.8169828ISI: 000426936400006ISBN: 978-1-5386-3285-7 (digital)OAI: oai:DiVA.org:kau-65783DiVA, id: diva2:1176415
Konferanse
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). 6-8 Nov. 2017, Berlin, Germany
Tilgjengelig fra: 2018-01-22 Laget: 2018-01-22 Sist oppdatert: 2019-08-02bibliografisk kontrollert

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Hernandez Benet, CristianBrunström, AnnaSantos, RicardoKassler, Andreas

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