Development of OpenFlow Native Capabilities to optimize QoS
Conference paper
Breiki, M., Zhou, S. and Luo, Y. 2020. Development of OpenFlow Native Capabilities to optimize QoS. 2020 Seventh International Conference on Software Defined Systems (SDS). Paris, France 20 - 23 Apr 2020 IEEE. pp. 67-74 https://doi.org/10.1109/SDS49854.2020.9143890
Type | Conference paper |
---|---|
Title | Development of OpenFlow Native Capabilities to optimize QoS |
Authors | Breiki, M., Zhou, S. and Luo, Y. |
Abstract | The exponential growth of mobile connected devices with advanced multimedia features imposes a requirement to enhance quality of service (QoS) from heterogeneous systems and networks. In order to satisfy mission-critical multimedia QoS requirements new generation mobile networks must present content-optimized mechanisms in order to use valuable network resources efficiently and provide QoS requirements for each application. This research explores a novel solution for quality of service performance for streaming mission-critical video data in OpenFlow SDN networks. A Meter Band Rate Evaluator (MBE) Mechanism is proposed based on a new band rate description language to improve the native QoS capability of OpenFlow and OpenDaylight. Its design and development are presented and the mechanism is verified through a simulated experiment in an SDN testbed. The results revealed a significant percentage increase in QoS performance when the MBE was enabled. These findings provide support and validation for the effectiveness of the MBE to enhance the native capability of OpenFlow and OpenDaylight for efficient QoS provision. |
Conference | 2020 Seventh International Conference on Software Defined Systems (SDS) |
Page range | 67-74 |
ISBN | |
Paperback | 9781728172200 |
Electronic | 9781728172194 |
Publisher | IEEE |
Publication dates | |
Online | 20 Jul 2020 |
23 Apr 2020 | |
Publication process dates | |
Deposited | 26 Jan 2022 |
Accepted | 22 Feb 2020 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1109/SDS49854.2020.9143890 |
Language | English |
Book title | Proceedings of 2020 Seventh International Conference on Software Defined Systems (SDS) |
https://repository.mdx.ac.uk/item/89q5w
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