Multimedia Data Flow Traffic Classification Using Intelligent Models Based on Traffic Patterns
| Autor: | Jose M. Jimenez, Alejandro Canovas, Oscar Romero, Jaime Lloret |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Multimedia Computer Networks and Communications Computer science media_common.quotation_subject 020206 networking & telecommunications 02 engineering and technology INGENIERIA TELEMATICA computer.software_genre Video quality Data flow diagram 020901 industrial engineering & automation Traffic classification Hardware and Architecture Packet loss 0202 electrical engineering electronic engineering information engineering Quality (business) Video streaming Low correlation computer Software Information Systems Jitter media_common |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname |
| Popis: | [EN] Nowadays, there is high interest in modeling the type of multimedia traffic with the purpose of estimating the network resources required to guarantee the quality delivered to the user. In this work we propose a multimedia traffic classification model based on patterns that allows us to differentiate the type of traffic by using video streaming and network characteristics as input parameters. We show that there is low correlation between network parameters and the delivered video quality. Because of this, in addition to network parameters, we also add video streaming parameters in order to improve the efficiency of our system. Finally, it should be noted that, based on the objective video quality received by the user, we have extracted traffic patterns that we use to perform the development of the classification model. This work has been supported by the Ministerio de Economia y Competitividad in the Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia, Subprograma Estatal de Generacion de Conocimiento within the Project with reference TIN2017-84802-C2-1-P. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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