Multiclass Queueing Network Modeling and Traffic Flow Analysis for SDN-Enabled Mobile Core Networks With Network Slicing

Santhosha Kamath,M Sathish Kumar,Sanjay Singh

doi:10.1109/access.2019.2959351

Santhosha Kamath, M Sathish Kumar + Show 1 more

Open Access

https://doi.org/10.1109/access.2019.2959351

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Abstract

The back-haul networks of 5G are formed by heterogeneous links which need to handle massive traffic. The service providers are not able to provide good QoS for their users. The technology like Software Defined Networks(SDN) and Network Slicing helps a little for a service provider to providing QoS for multiple links. The service providers face a challenge in the efficient utilization of resources to fulfill the QoS requirement of users to comply with the growth and thereby increasing the revenue. These problems require an accurate traffic model to determine the steady-state of the system. The proposed model uses an architecture that has the combination of two technologies: SDN and network slicing, which empowers an administrator a flexible, programmable network, and the best management of network resources. Heterogeneous application is well managed by creating multiple logical networks called slicing. The slicing can be modeled using multi-class queuing networks. These technologies encourage service providers to fulfill QoS and revenue growth. To leverage the benefits of these technologies in allocating QoS is to identify the performance of the system, which requires a precise model of traffic to decide the steady-state condition of the framework. In this paper, we focus on SDN and slicing in mobile networks and quantify the performance measure considering an in-band OpenFlow architecture for a single node and homogeneous traffic class, which is further extended to the multi-class heterogeneous class queuing model and analyzed. The results obtained help a service provider to monitor the utilization of resources in every node by every class of core network, which in turn helps to allocate the resources precisely to fulfill QoS requirements

Highlights

Current mobile backhaul networks are built with a large number of middle-boxes and forwarding devices
The analytical model that we propose can be viewed at different levels: it can be used at the validation level to detect congestion in the mobile network traffic and at monitoring level, where the model analyzes the traffic flow and detect future congestion
We propose an analytical model for the mobile network that takes advantage of both Software Defined Networks (SDN) and network slicing concepts like considered in [5], which helps the network operator to offer the required QoS and helps to utilize the resources at great extent

Summary

INTRODUCTION

Current mobile backhaul networks are built with a large number of middle-boxes and forwarding devices. Jarschel et al [13] proposed a general M /M /1 based single node modeling for OpenFlow based SDN switch They considered that processing time is only exponential distribution. Design of an adequate analysis model of flow-based Internet traffic to represent the traffic characteristic at mobile networks under In-band OpenFlow architecture for single node homogeneous class. In SDN, enabled network policies for the packet belong to a slice are the same; we consider flow-based processing. A. DETERMINING QUEUE IN AN SDN-ENABLED SWITCH FOR IN-BAND OPENFLOW ARCHITECTURE FOR HOMOGENEOUS NETWORK The arrival and processing distribution at a node depends on two possibilities:.

The system response time for class c is given by

TRAFFIC MATRIX

CONCLUSION