Big data today is a reality. Networks service providers that want to be innovative and maximize their revenue potential must have the right solution in place so that they can harness the volume, variety, and velocity of data coming into their networks and leverage actionable insight from that data. Big data brings new traffic and performance related challenges and calls for a deep revisit of the methodological tools that were traditionally used for performance evaluation and traffic engineering. New models and approaches are needed to investigate big data characteristics in terms of volume, velocity and variability and their impact on network performance; new solutions have to be designed to efficiently and securely manage information; new techniques are needed to support all phases of network planning, design and optimization.
Edited by: Zhenjiang Zhang, Pony Chu, Lorna Uden and Dalin Zhang