[nmrg] 3rd International Workshop on Network Intelligence at IEEE INFOCOM 2020

["Ciavaglia, Laurent (Nokia - FR/Paris-Saclay)" <[e-mail]>]

Dear NMRG,

I believe this CfP might be of interest to the group, especially regarding the use of Artificial Intelligence for Network Management, as highlighted in our updated charter.

Best regards, Laurent.



----------------------------------------------   Call for Papers -----------------------------------------------------

The 3rd International Workshop on Network Intelligence
NI 2020
"Learning and Optimizing Future Networks"

in conjunction with IEEE Infocom 2020 (https://infocom2020.ieee-infocom.org/)

27-30 April 2020 // Beijing, China
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Important dates
Submission Deadline: Jan. 15th, 2020
Notification of Acceptance: Feb. 15th, 2020
Camera Ready: March 6, 2020
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Network Intelligence considers the embedding of Artificial Intelligence (AI) in future networks to fasten service delivery and operations, leverage Quality of Experience (QoE) and guarantee service availability, also allowing better agility, resiliency, faster customization and security. This concept inherits the solid background of autonomic networking, cognitive management, and artificial intelligence. It is envisioned as mandatory to manage, pilot and operate the forthcoming network built upon SDN, NFV and cloud.
The main goal of the Network Intelligence Workshop is to present state-of-the-art research results and experience reports in the area of network intelligence, addressing topics such as artificial intelligence techniques and models for network and service management; smart service orchestration and delivery, dynamic Service Function Chaining, Intent and policy based management, centralized vs distributed control of SDN/NFV based networks, analytics and big data approaches, knowledge creation and decision making. This workshop offers a timely venue for researchers and industry partners to present and discuss their latest results in Network Intelligence. The main topic of this NI 2020 edition is "Learning and Optimizing Future Networks" which puts the attention on the particular application of network intelligence and machine learning to optimization in future network scenarios.
Topics of interest include, but are not limited to:

*  Deep and Reinforcement learning for networking and communications in 5G networks

*  Data mining and big data analytics in 5G networking

*  Protocol design and optimization using AI/ML in 5G

*  Self-learning and adaptive networking protocols and algorithms for 5G

*  Intent & Policy-based management for intelligent networks

*  Innovative architectures and infrastructures for intelligent networks

*  AI/ML for network management and orchestration in 5G systems

*  AI/ML for network slicing optimization in 5G systems

*  AI/ML for service placement and dynamic Service Function Chaining in 5G systems

*  AI/ML for C-RAN resource management and medium access control

*  Decision making mechanisms

*  Routing optimization based on flow prediction in 5G systems

*  Data-driven management of software defined networks for 5G networks

*  Methodologies for network problem diagnosis, anomaly detection and prediction

*  Reliability, robustness and safety based on AI/ML techniques

*  Network Security based on AI/ML techniques in 5G

*  AI/ML for multimedia networking in 5G systems

*  AI/ML support for ultra-low latency applications in 5G scenarios

*  AI/ML for IoT

*  Open-source networking optimization tools for AI/ML applications

*  Experiences and best-practices using machine learning in operational networks

*  Novel context-aware, emotion-aware networking services

*  Machine learning for user behavior prediction

*  Modeling and performance evaluation for Intelligent Network

*  Intelligent energy-aware/green communications

This workshop is supported by the IEEE ComSoc Emerging Technical Initiative on Network Intelligence. Join us at the ETI NI as a member for cross-fertilization on Network Intelligence research activities. All information is available at http://ni.committees.comsoc.org/.

SUBMISSION INSTRUCTIONS

Papers must be submitted electronically as PDF files, formatted for 8.5x11-inch paper. The length of the paper must be no more than 6 pages in the IEEE double-column format (10-pt font). Papers should neither have been published elsewhere nor being currently under review by another conference or journal. The reviews will be single blind: authors name and affiliation should be included in the submission, but not in the paper.
At least one of the authors of every accepted paper must register and present the paper at the workshop. The accepted and presented papers will be published in the IEEE INFOCOM 2019 workshop proceedings and appear in IEEE Xplore.

EDAS link for paper submission: https://edas.info/newPaper.php?c=26856&track=99574




Workshop General co-chairs
Laura Galluccio, University of Catania, Italy
Imen Grida Ben Yahia, Orange Labs, France
Zongqing Lu, Peking University, China
Giovanni Schembra, University of Catania, Italy

Steering Committee
Imen Grida Ben Yahia, Orange Labs, France
Mohamed Faten Zhani, ÉTS Montreal, Canada
Noura Limam, University of Waterloo, Canada
Weverton Cordeiro, UFRGS, Brazil
Laurent Ciavaglia, Nokia Bell Labs, France
Giovanni Schembra, University of Catania, Italy
Laura Galluccio, University of Catania, Italy
Mérouane Debbah, CentraleSupélec, France