OpenFlow based VoIP QoE monitoring in enterprise SDN

Siniarski, Bartlomiej; Olariu, Cristian; Perry, Philip; Murphy, John

doi:10.23919/inm.2017.7987354

Cited by 4 publications

(2 citation statements)

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“…They used these retrieved statistics to compute queue's delay and the available bandwidth. Also, the authors in [182] periodically collect statistics to compute packets loss and estimates their effect on VoIP quality.…”

Section: ) Active Vs Passivementioning

confidence: 99%

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A Survey on Autonomic Provisioning and Management of QoS in SDN Networks

BinSahaq

Sheltami

2019

IEEE Access

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In today's Internet, killer network services and applications, such as video and audio streaming, network storage, and online video games, are pushing the network infrastructure resources to the edge. By design and for the most part, the Internet is the best offer delivery ecosystem with little or no endto-end quality-of-service (QoS) guarantees. Even, frameworks, such as IntServ and DiffServ that were designed and implemented to provide QoS guarantees, still fail to solve this problem at a wide scale. Software-defined networking (SDN) is a fast emerging networking paradigm that promises to provide endto-end QoS guaranteeing by offering greater network flexibility, abstraction, control, and programmability to network resources. In this paper, we review, survey, and discuss the current state of the art on QoS provisioning in the area of SDN, with respect to applying the concept of autonomic computing (AC) to automatically support, provision, monitor, and maintain QoS requirements. This paper includes in-depth classification, taxonomy, and comparative analysis for the autonomic-based QoS provisioning in accordance with the famous influential and widely adopted the monitor-analyze-plan-execute-knowledge (MAPE-K) IBM architectural model for autonomic computing.

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Section: ) Active Vs Passivementioning

confidence: 99%

“…In [182], the authors used loss statistics from network switches and computed the MOS metric for VoIP QoE and see the effect of loss on that metric. So they periodically polled statistics from network switches, and then the link loss rate of each two adjacent switches is computed.…”

Section: B: Qosmentioning

confidence: 99%