text: Today's networks, whether wired or wireless, are increasingly complex and diverse. Network managers ensure that devices remain connected, applications run, the volume of traffic flows smoothly, data is collected, and that the system remains secure. Disruptions to the network can be costly and time-consuming.
  A comprehensive survey on machine learning for networking: evolution, applications and research opportunities appears in the Journal of Internet Services and Applications. Led by Boutaba, the survey was compiled by Cheriton School of Computer Science researchers Mohammad A. Saluahuddin, Noura Limam, Sara Ayoubi, Nashid Shahriar, and co-authored by University of Cauca researchers Felipe Estrada-Solano and Oscar M. Caicedo.