scholarly journals Implementing Quality of Service for the Software Defined Networking Enabled Future Internet

2014 ◽  
Author(s):  
Sachin Sharma ◽  
Dimitri Staessens ◽  
Didier Colle ◽  
David Palma ◽  
Joao Goncalves ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Software Defined Networking ◽  
Future Internet

scholarly journals Virtual Router Design and Modeling for Future Networks with QoS Guarantees

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1139
Author(s):  
Mykola Beshley ◽  
Natalia Kryvinska ◽  
Halyna Beshley ◽  
Oleg Yaremko ◽  
Julia Pyrih
Keyword(s):  
Quality Of Service ◽  
Dynamic Reconfiguration ◽  
Future Internet ◽  
End Users ◽  
Mathematical Representation ◽  
Optimal Parameters ◽  
Resource Virtualization ◽  
Virtual Routers ◽  
Network Device

A virtual router model with a static and dynamic resource reconfiguration for future internet networking was developed. This technique allows us to create efficient virtual devices with optimal parameters (queue length, queue overflow management discipline, number of serving devices, mode of serving devices) to ensure the required level of quality of service (QoS). An analytical model of a network device with virtual routers is proposed. By means of the mentioned mathematical representation, it is possible to determine the main parameters of the virtual queue system, which are based on the first in, first out (FIFO) algorithm, in order to analyze the efficiency of network resources utilization, as well as to determine the parameters of QoS flows, for a given intensity of packets arrival at the input interface of the network element. In order to research the guaranteed level of QoS in future telecommunications networks, a simulation model of a packet router with resource virtualization was developed. This model will allow designers to choose the optimal parameters of network equipment for the organization of virtual routers, which, in contrast to the existing principle of service, will provide the necessary quality of service provision to end users in the future network. It is shown that the use of standard static network device virtualization technology is not able to fully provide a guaranteed level of QoS to all present flows in the network by the criterion of minimum delay. An approach for dynamic reconfiguration of network device resources for virtual routers has been proposed, which allows more flexible resource management at certain points in time depending on the input load. Based on the results of the study, it is shown that the dynamic virtualization of the network device provides a guaranteed level of QoS for all transmitted flows. Thus, the obtained results confirm the feasibility of using dynamic reconfiguration of network device resources to improve the quality of service for end users.

Managing Internet of Things based traffic using Software Defined Networking

2021 ◽  
Author(s):  
Mujadad Ul Haq ◽  
Majid Ashraf ◽  
Sana ul Haq ◽  
Fazal Qudus Khan
Keyword(s):  
Quality Of Service ◽  
Software Defined Networking ◽  
Healthcare Systems ◽  
Routing Algorithms ◽  
Massive Data ◽  
Shortest Path Routing ◽  
Delay Sensitive ◽  
Pox Controller ◽  
Management Issues

The current internet architecture cannot manage the massive data volumes produced by the smart IoT-based healthcare systems. Very recently, the idea of Software-Defined Networking (SDN) has surfaced to resolve the issues related to networking. The incorporation of SDN technology in IoT-based healthcare systems can possibly solve the existing quality of service and data management issues. Furthermore, the IoT-based healthcare system can attain enhanced Quality of Service (QoS) through the employment of such schemes that use shortest-path routing algorithms and offer higher bandwidth to lesser delay paths as per the QoS requirements. In this study, the SDN technology is integrated with IoT-based healthcare systems, and the delay is reduced for delay-sensitive applications by using the Bellman-Ford algorithm. The proposed scheme is deployed using the POX controller and can effectively handle the existing QoS issues in the IoT healthcare systems. The simulation results of the proposed scheme show a clear drop in delay values in comparison to the benchmark scheme.

OFQuality: a quality of service management module for software-defined networking

2019 ◽  
Vol 10 (2) ◽  
pp. 187 ◽  
Author(s):  
Madalena Pereira Da Silva ◽  
Mario Antonio Ribeiro Dantas ◽  
Felipe Volpato
Keyword(s):  
Quality Of Service ◽  
Service Management ◽  
Software Defined Networking

Software-Defined Networking’s Traffic Engineering Benefits the Improvement of Network Performance

2020 ◽  
Vol 17 (1) ◽  
pp. 27-31
Author(s):  
B. Naveen Chandar ◽  
N. Arivazhagan ◽  
K. Venkatesh
Keyword(s):  
Quality Of Service ◽  
Traffic Engineering ◽  
Traffic Management ◽  
Network Performance ◽  
Packet Delay ◽  
Software Defined Networking ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Network Resource

Quality of Service is considered as one of the important specifications in Software Defined Networking and we are focusing on Traffic Engineering which is capable of managing traffic characteristics like bandwidth for improving network performance. In this paper, performance evaluation of Quality of Service parameters such as Packet Delivery Ratio, Packet Delay and Packet Loss are performed with Network simulator 2 for all types of Software Defined Networking topologies. To do such evaluation on these parameters we use Traffic Engineering, which helps on improving the network performance, design mechanisms for routing to manage the traffic in network by improving the network resource usages and other major Quality of Service requisites. So in this proposed methodology, we use point-to-point topology related to traffic calculation which includes network parameters like general calculation of a framework, analyzing the traffic and future indication. Also the work process relevant to traffic management includes bandwidth of the traffic, scheduling of Quality of Service-assurance, saving power and management of traffic in Software Defined Networking. Existing technologies used for the above parameters are discussed below and our insights for future development on traffic engineering between the nodes in Software Defined Networking are offered.

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