OpenFlow specification for SDN networks leaves to external entities the control of the queues' inside the switches of the network. SDN typically re-route flows on less congested paths before they experience QoS violation. The letter outlines an original solution to predict the effect of the re-routing operation by focusing on the packet loss metric. Since the approach is based on collected real-time statistics, it can be easily generalized to other QoS metrics and measurement methodologies

On the QoS Estimation in an OpenFlow Network: the Packet Loss Case

Maurizio Mongelli
2016

Abstract

OpenFlow specification for SDN networks leaves to external entities the control of the queues' inside the switches of the network. SDN typically re-route flows on less congested paths before they experience QoS violation. The letter outlines an original solution to predict the effect of the re-routing operation by focusing on the packet loss metric. Since the approach is based on collected real-time statistics, it can be easily generalized to other QoS metrics and measurement methodologies
2016
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
SDN
OpenFlow
Packet Loss
Neural Estimation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/303599
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