Applying big data technologies to manage QoS in an SDN

Abstract

Managing QoS in a telecommunications network is a complex process. Effective network design and sizing in conjunction with load balancing, access control and traffic prioritization need to be orchestrated to optimize CAPEX investment, maximize network utilization and ensure that performance metrics and SLAs are met. This work shows how big data analytics were used to improve the management of QoS in an SDN by performing multi-dimensional analysis of Key Performance Indicators (KPIs) and applying machine learning algorithms to discover new correlations, perform root cause analysis and predict traffic congestion.