Towards Smart Networking through Context Aware Traffic Identification Kit (TriCK) in 5G

DC FieldValueLanguage
dc.contributor.authorXu, Lina-
dc.contributor.authorRuifeng, Duan-
dc.date.accessioned2019-05-15T10:49:30Z-
dc.date.available2019-05-15T10:49:30Z-
dc.date.copyright2018 IEEEen_US
dc.date.issued2018-11-12-
dc.identifier.isbn978-1-5386-3779-1-
dc.identifier.urihttp://hdl.handle.net/10197/10469-
dc.descriptionThe 2018 International Symposium on Networks, Computers and Communications (ISNCC-2018), Rome, Italy, 19-21 2018en_US
dc.description.abstractIn order to distribute diverse traffic flow into proper network interfaces, Access Network Discovery and Selection Function (ANDSF) is proposed by 3GPP, which can distribute every traffic flow to a preferred network interface according to several observed features from that flow. However, the static policies in ANDSF can neither understand the context nor adapt to real time changes. In order to address that problem, in our previous work, we have proposed a server-client based Context aware Traffic identification Kit (TriCK) to dynamically identify traffic, which can extend the functionalities of 3GPP ANDSF. It can classify traffic data not only based on its own characteristics, but also the real time network conditions and the current context. In this paper, we provide an implementation for the network selection component in TriCK based on clustering techniques, with a complexity of O(n). A static version and a dynamic version of the implementation are analysed. The static approach is easy to implement and comprehend. The static solution can distribute the traffic flow according to the traffic characteristics and the network context. The dynamic approach can further balance the traffic load between different network interfaces and therefore provide an overall better transmission quality.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectNetwork interfacesen_US
dc.subjectServersen_US
dc.subjectWireless fidelityen_US
dc.subjectStreaming mediaen_US
dc.subjectLong Term Evolutionen_US
dc.subjectPerformance evaluationen_US
dc.subject3GPPen_US
dc.titleTowards Smart Networking through Context Aware Traffic Identification Kit (TriCK) in 5Gen_US
dc.typeConference Publicationen_US
dc.internal.authorcontactotherlina.xu@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.doi10.1109/ISNCC.2018.8531033-
dc.neeo.contributorXu|Lina|aut|-
dc.neeo.contributorRuifeng|Duan|aut|-
dc.date.updated2018-10-25T14:05:27Z-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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