Publication | Closed Access
Queue-allocation optimization for adaptive video streaming over software defined networks with multiple service-levels
13
Citations
9
References
2016
Year
Unknown Venue
EngineeringQuality-of-serviceSdn ControllerInternet Of ThingsAdvanced NetworkingVideo ServicesMultiple Service-levelsAdaptive Bitrate StreamingSoftware-defined NetworkingMultimedia DeliveryQueue-allocation OptimizationEdge ComputingNetwork Traffic ControlCloud ComputingInternet Service ProvidersAdaptive VideoVideo TransmissionCongestion ControlWireless Multimedia System
Internet service providers (ISP) are deploying software defined networking (SDN), which enables them to better utilize their resources and increase their revenues by offering on-demand differentiated services. In particular, SDN makes provisioning of dynamically managed video services with multiple levels of service viable, since the controller has complete vision of network resources and can change flow paths dynamically by continuously optimizing routes for each flow according to network state. This paper proposes a new method for flow-path computation by queue allocation with the objective of maximizing ISP revenues under per-flow service-level constraints. We formulate the optimization problem and implement its solution in the path computation unit of an SDN controller. Our experiments support that customers requesting improved quality video service receive significantly better QoE compared to best effort services to justify their paying extra for these services.
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