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Adaptive Life-cycle Based on Traffic Prediction on ONOS Controller

Authors:
Seungbeom Song
Jaiyong Lee

Keywords: SDN; QoS; ONOS; Adaptive Life-cycle

Abstract:
Smart device and Internet of Things (IoT) require high Quality of Service (QoS). A centralized network emerged as the most suitable alternative network and it is expected to be the leading future network. At this moment, the most popular centralized network is Software Defined Network (SDN) which can be separated into control plane and data plane in terms of software. SDN reduces complexity in distributed networking and manages network resources easily. Due to these advantages, SDN is undergoing a drastic increase in networking deployment. However, despite these merits, SDN still has problems with congestion. The congestion problem with inevitable performance decrease affects the QoS of the end users. In our study, we propose ALTP based on the Open Network Operating System (ONOS) controller to provide high QoS to users through adaptive monitoring and forwarding. For implementing the traffic estimating subsystem in SDN controller, we used Time Series Analysis (TSA). We got the meaningful benefit of performance while increasing overhead slightly by implementing the adaptive control of ALTP system.

Pages: 58 to 63

Copyright: Copyright (c) IARIA, 2018

Publication date: April 22, 2018

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-625-5

Location: Athens, Greece

Dates: from April 22, 2018 to April 26, 2018