[AISWorld] [IEEE INFOCOM 2020 Workshop] CfP for IEEE NI 2019 and Merry Christmas

[Giovanni Schembra]

Dear Colleagues,

I remember you the CfP of the NI 2020 Workshop, co-located with Infocom
2020. 

 

In the meanwhile, may the sweet magic of the Christmas season be with you
always.

Merry Christmas and best wishes for a happy new year.

Best Regards 

Giovanni Schembra

 

 

----------------------------------------------   Call for Papers
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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/>
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