Research Article
An Enhanced Flow-Based QoS Management Within Edge Layer for SDN-Based IoT Networking
@INPROCEEDINGS{10.1007/978-3-030-70572-5_10, author={Avewe Bassene and Bamba Gueye}, title={An Enhanced Flow-Based QoS Management Within Edge Layer for SDN-Based IoT Networking}, proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 12th EAI International Conference, AFRICOMM 2020, Eb\'{e}ne City, Mauritius, December 2-4, 2020, Proceedings}, proceedings_a={AFRICOMM}, year={2021}, month={7}, keywords={Edge computing Internet of Things Quality of Service Software-Defined Networking Performance}, doi={10.1007/978-3-030-70572-5_10} }- Avewe Bassene
Bamba Gueye
Year: 2021
An Enhanced Flow-Based QoS Management Within Edge Layer for SDN-Based IoT Networking
AFRICOMM
Springer
DOI: 10.1007/978-3-030-70572-5_10
Abstract
infrastructure makes great demands on network control methods for an efficient management of massive amounts of nodes and data. This network requires fine traffic control management to ensure an adequate for data transmission process, especially in a low-cost network that covers smart territories deployed in so-called “technological lag” areas. Software-Defined Networking () enables to handle dynamically network traffic as well as flexible traffic control on real-time. However, technology exhibits several issues with regard to additional processing time or loss that are associated to control plan. These factors can lead to performance degradation of the control traffic flows within data plane which is not tolerated in medium/low capacity environment.
