A software-defined queuing framework for QoS provisioning in 5G and beyond mobile systems
Abbou, Aiman Nait; Taleb, Tarik; Song, JaeSeung (2021-03-08)
A. N. Abbou, T. Taleb and J. Song, "A Software-Defined Queuing Framework for QoS Provisioning in 5G and Beyond Mobile Systems," in IEEE Network, vol. 35, no. 2, pp. 168-173, March/April 2021, doi: 10.1109/MNET.011.2000441
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https://urn.fi/URN:NBN:fi-fe2021052631655
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Abstract
There is an ever-increasing demand for network technologies supporting Ultra-Reliable Low Latency Communications (URLLC) services and their co-existence with best-effort traffic. By way of example, reference can be made to the emerging 5G mobile networks. In this vein, this article investigates the Software-Defined Networking (SDN) technology capabilities for providing Quality of Service (QoS) guarantees. Specifically, we present a testbed, under development, dubbed Soft-ware-Defined Queueing (SDQ). This framework leverages QoS provision functionalities of SDN. SDQ can be regarded as a framework for testing traffic engineering solutions in networks with deterministic QoS support. By using SDQ, we develop and test a specific solution that chooses the optimal queue and path for each incoming flow in order to reduce the workload imbalances in the network. For the experimental setup, we consider a generic SDN network whose bridges include three priority queues at every output port. Furthermore, we compare the aforementioned solution with a best-effort network and an SDN-enabled network with QoS support configured by default. The obtained results show that the envisioned solution outperforms the baseline one of SDN and the best-effort solution in terms of the average latency recorded.
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