QoS Analysis using Traffic Pattern Forecasting of 5g SDN Cellular Networks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 7
Abstract
Traffic modeling and prediction are at the focal point of the assessment of the performance of tele communications network. In spite of the fact that the research carried on traffic prediction is a built up field, most existing works have been completed on conventional wired broadband systems and once in a while shed light on Software Defined Networks. Notwithstanding, with the violently developing demand for SDN, there is a dire need to design traffic-aware energy-efficient network architecture. Keeping in mind the end goal to acknowledge such a plan, it turns out to be progressively vital to show the traffic predictability theoretically and talk about the traffic-aware systems administration hone in fact. These days, as the center system engineering is developing toward programming characterized systems (SDNs) the anticipated traffic could fundamentally add to network architecture in this future design. In this work, we propose using software-defined networking technologies for optimal traffic engineering in cellular networks with service chaining We study the case in which software defined services are used to support network services and each flow requires multiple network services. To minimize the maximum load of virtual machines and guarantee that the sum rate of admitted flows is large enough, the main purpose of this dissertation is to avoid traffic in LTE networks. In this dissertation we discuss how the proposed technique affects the high delivery ratio and high performance with reduced delay and relative speed. The next result we get is low control overhead and high throughput when compared with the existing routing protocol. Detailed simulations are to be used to evaluate the performance of the proposed traffic based routing schemes. The simulation results show that the proposed scheme can result insubstantial improvement in the packet delivery. The results analyzed from our traffic Aware and Flexible Routing scheme in LTE Networks we are concluding that we are getting far better performance as compare to the existing routing. As the simulation results show we achieved the number of Mobile Nodes in case of Performance, Relative Speed and Control Overhead. It means we are increasing the message overhead and traffic as well but our new protocol, is taking less time in all cases.
Authors and Affiliations
Pooja Chahal, Kavita Rathi(Asst. Prof)
Keywords
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