Video artifact evaluation based on qos and objective qoe parameters

García, Laura; Jiménez, Jose M.; Taha, Miran; Lloret, Jaime

doi:10.1109/icacci.2017.8125980

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…The data structured is built according to the work done by our research group, since it has a vast trajectory in multimedia and networking. Laura G. et al summarize in [186] the dependencies between multimedia transmission problems and metrics. Miran Taha et al found a relation between network parameters and metrics problems in video transmission [187].…”

Section: Reward Update Systemmentioning

confidence: 99%

Intelligent multimedia flow transmission through heterogeneous networks using cognitive software defined networks

Máñez¹

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This thesis addresses the problem of routing in Software Defined Networks (SDN). Specifically, the problem of designing a routing protocol based on Artificial Intelligence (AI) for ensuring Quality of Service (QoS) in multimedia transmissions. In the first part of the work, SDN is introduced. Its architecture, protocols and advantages are discussed. Then, the state of the art is presented, where several works regarding QoS, routing, SDN and AI are detailed. In the next chapter, the SDN controller, which plays the central role in the proposed architecture, is presented. The design of the controller is detailed and its performance compared to another common controller. Later, the routing proposals are described. First, a modification of a traditional routing protocol is discussed. This modification intends to adapt a traditional routing protocol to SDN, focused on multimedia transmissions. Then, the final proposal is described. Its messages, architecture and algorithms are depicted. As regards AI, chapter 5 details the module of the architecture that implements it, along with all the intelligent methods used in the routing proposal. Furthermore, the intelligent route decision algorithm is described and the final proposal is compared to the traditional routing protocol and its adaptation to SDN, showing an increment of the end quality of the transmission. Finally, some applications based on the routing proposal are described. The applications are presented to demonstrate that the proposed solution can work with heterogeneous networks.

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Section: Reward Update Systemmentioning

confidence: 99%

Intelligent multimedia flow transmission through heterogeneous networks using cognitive software defined networks

Máñez¹

View full text Add to dashboard Cite

show abstract

Video artifact evaluation based on qos and objective qoe parameters

Cited by 1 publication

References 16 publications

Intelligent multimedia flow transmission through heterogeneous networks using cognitive software defined networks

Intelligent multimedia flow transmission through heterogeneous networks using cognitive software defined networks

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