IEEE Second International Workshop on Data Driven Intelligence for Networks and Systems (DDINS)
in conjunction with IEEE INFOCOM 2020
6 July 2020, Toronto, Canada
Network traffic is expected to grow exponentially in the next decade thanks to the advances in smart devices, Internet of Things (IoT) and cloud computing. Not only the volume of the traffic is increasing, the characteristics of the traffic are also becoming more diverse. To properly manage traffic diversity, different but coherent strategies are needed at different protocol layers, and this often results in complex designs in the network which are difficult to deploy and manage. The recent advancement in artificial intelligence (AI) technology has provided a promising approach to deal with complex problems faced in the network and/or systems design and operation. The trend towards highly integrated networks with diverse underlying access technologies to support simultaneously multiple vertical industries has demanded complex operation in the network and/or systems. This represents a great challenge in network and/or systems design. This Workshop focuses on applying AI technologies to deal with the networks and/or systems, particularly the machine learning techniques that are based on empirical or simulated data.
The extended selected accepted papers in this workshop will be recommended for publications in the Journal of Intelligent and Converged Networks (jointly published by International Telecommunication Union and Tsinghua University Press).
Submission Deadline: January 15, 2020
Notification of Acceptance: February 7, 2020
Camera Ready: April 10, 2020 (extended)