A Meter Band Rate Mechanism to Improve the Native QoS Capability of OpenFlow and OpenDaylight

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.

[1]  Maksim Sisov Building a Software-Defined Networking System with OpenDaylight Controller , 2016 .

[2]  Atanas Mirchev,et al.  Survey of Concepts for QoS improvements via SDN , 2015 .

[3]  Katsuyoshi Iida,et al.  End-to-End Header Compression over Software-Defined Networks: A Low Latency Network Architecture , 2012, 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems.

[4]  Sang-Hwa Chung,et al.  A traffic-aware quality-of-service control mechanism for software-defined networking-based virtualized networks , 2017, Int. J. Distributed Sens. Networks.

[5]  Derrick D’souza,et al.  Improving QoS in a Software-Defined Network , 2016 .

[6]  Li Han,et al.  QoS-Aware Routing Mechanism in OpenFlow-Enabled Wireless Multimedia Sensor Networks , 2016, Int. J. Distributed Sens. Networks.

[7]  Tarik Taleb,et al.  Ensuring End-to-End QoS Based on Multi-Paths Routing Using SDN Technology , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[8]  Ding-Zhu Du,et al.  Criticality- and QoS-Based Multiresource Negotiation and Adaptation , 1998, Real-Time Systems.

[9]  Baochuan Fu,et al.  An SDN-Based Flow Control Mechanism for Guaranteeing QoS and Maximizing Throughput , 2017, Wirel. Pers. Commun..

[10]  Nan Zhang,et al.  Software Defined Mobile Networks (SDMN): Beyond LTE Network Architecture , 2015 .

[11]  Yiming Li,et al.  Software defined networking: State of the art and research challenges , 2014, Comput. Networks.

[12]  Anees Shaikh,et al.  Meridian: an SDN platform for cloud network services , 2013, IEEE Communications Magazine.

[13]  Ian F. Akyildiz,et al.  Wireless software-defined networks (W-SDNs) and network function virtualization (NFV) for 5G cellular systems: An overview and qualitative evaluation , 2015, Comput. Networks.

[14]  Qi Hao,et al.  A Survey on Software-Defined Network and OpenFlow: From Concept to Implementation , 2014, IEEE Communications Surveys & Tutorials.

[15]  A. Murat Tekalp,et al.  An Optimization Framework for QoS-Enabled Adaptive Video Streaming Over OpenFlow Networks , 2013, IEEE Transactions on Multimedia.

[16]  P. de Bruin,et al.  Public Safety Communication Using Commercial Cellular Technology , 2008, 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies.