IEEE GLOBECOM Workshop on Intelligent Fog and Edge Infrastructures for Future Wireless Systems
Dec 7 – Dec 11 all-day

The 2020 IEEE Globecom Workshops (GC Wkshps): IEEE GLOBECOM Workshop on
Intelligent Fog and Edge Infrastructures for Future Wireless Systems will
be held in Taipei, Taiwan, from 7-11 December 2020.

To support future wireless systems, or Beyond 5G networks, fog and edge
have been emerging as key infrastructures within close proximity to the
end-users, where network intelligence and innovative service could be
efficiently implemented. Leveraged with Artificial Intelligence (AI)
techniques, fog and edge computing infrastructures have further been proved
distinctively effective to deliver optimized and customized services that
demand ultra-low latency and ultra-high bandwidth performance. Moving
computing powers to the edge and fog has also helped in rediscovering a
wealth of dormant assets in the local access networks. These dormant assets
are essentially contextual information collected directly from the users,
smart devices, and nodes. Therefore, fog and edge computing infrastructure
is playing an ever-increasingly crucial role of bringing the IoT, big data,
and distributed intelligence together for future wireless systems.
Nevertheless, designing intelligent Fog and Edge infrastructures posts some
real challenges. They include how AI can be applied for network slicing,
how to apply Machine Learning (ML) to streaming data, how to apply
reinforcement learning to resource allocation and load balancing, and even
how to build cohesive infrastructure to develop AI software, to name but a
few. Meanwhile, some practical issues, such as how to run AI training
algorithms in a power-efficient manner, and how to create and handle data
sets relevant enough to acquire knowledge, etc., should also be taken into
consideration. These challenges are currently being addressed in several
research projects (e.g., H2020 5GROWTH, 5G-DIVE) and standardization bodies.

Topics of Interest

This workshop expects to become a meeting point between industry and
academia to jointly provide valuable insights into the new definition of
intelligent fog and edge for future wireless systems. This workshop seeks
to attract high-quality contributions covering both theory and practice
overall aforementioned and other related aspects of AI-based fog and edge
infrastructure design and development. Some representative topics of
interest include, but are not limited to:
– Infrastructure Design for AI/ML-enabled Fog/Edge
– Edge data center network design for AI/ML-enabled Fog/Edge
– Energy efficient computing for AI/ML-enabled Fog/Edge
– Energy efficient architecture for AI/ML-enabled Fog/Edge
– Collaborative Edge-Fog Algorithms for AI/ML-enabled Fog/Edge
– Software Platform for AI/ML-enabled Fog/Edge
– Applications and Services for AI/ML-enabled Fog/Edge
– Virtualization Technologies for AI/ML-enabled Fog/Edge
– AI/ML for Network Slicing at Fog/Edge
– AI/ML for Resource Management at Fog/Edge
– AI/ML for Load Balancing at Fog/Edge
– AI/ML for Network Automation at Fog/Edge

Important Dates

Deadline for paper submission: August 1st, 2020
Date for notification: September 1st, 2020
Deadline for final paper submission: October 1st, 2020

To submit your paper, please go to: For more
information about GC 2020 Workshop – IntFog, please visit

Thank you! We look forward to seeing all of the great submissions.

GC 2020 Workshop – IntFog

Workshop Organizers
Maria Yuang
Alain Mourad
Antonio de la Oliva
Bengt Ahlgren

Int’l Workshop on Artificial Intelligence in the IoT Security Services
Dec 14 – Dec 17 all-day

*International Workshop on **Artificial Intelligence in the IoT Security Services (AI-IOTS 2020)*

In conjunction with *ICSOC** 2020*
Dubai, UAE, December 14 – 17, 2020



· Workshop Papers Submission: *August 16, 2020*

– Authors Notification: *September 14, 2020*
– Workshop: *December 14, 2020*
– Submission site: <>


Artificial Intelligence (AI) is one of the disciplines of computer science
that emerges in securing the Internet of Things (IoT) services. The AI
techniques including machine learning, deep learning, and reinforcement
learning approaches have been applied to emerging IoT applications in
various fields such as smart city, smart home, smart grid, health care,
smart transportation, smart farming, etc.

According to Gartner, the total number of IoT connected devices will reach
75.44 billion units worldwide by 2025. This trend poses several challenges
in building efficient and reliable IoT systems. Due to the advancement in
AI technology, the connected devices are getting smaller and smarter but
the secured services and constraints to be satisfied are increasingly
complex. The AI plays crucial role to manage huge data flows and storage in
the IoT network. As IoT gains its full potential, AI will be at the
forefront to promote the potential of IoT.


AI-IOTS 2020 welcomes papers on topics that include, but are not limited to
the following:

· Architecture design for AI in IoT
· Protocols for AI in IoT
· AI based techniques for real time IoT services
· AI based service-oriented protocols for IoT
· AI based techniques for data driven trustworthy IoT
· AI based techniques for security in IoT systems
· AI based techniques for fault diagnosis in IoT services
· AI based techniques for scalability solutions in IoT
· AI based techniques for smart data storage in IoT
· AI based applications in industrial IoT
· AI based techniques for smart city, smart grid, smart farming, smart transportation, and smart healthcare applications
· AI based techniques for IoT security and services
· AI based techniques for future IoT applications


– Authors are invited to submit original, previously unpublished
research papers. Papers should be written in English strictly following
Springer LNCS style for all text, references, appendices, and figures.

– The papers need to be submitted via the conference management tool
format. For formatting instructions and templates see the Springer Web
page: Springer LNCS author web page <>.

– The workshop papers must not exceed 15 pages.

– Submitted papers will be peer-reviewed by at least two members of the
Workshop Program Committee.

– The accepted papers will be included in the conference proceedings
published by Springer Verlag in the Lecture Notes in Computer Science
(LNCS) series.


*Dr. S. Selvakumar (*Indian Institute of Information Technology Una, Himachal Pradesh, India)
*Dr. R. Kanchana (*SSN College of Engineering, Chennai, Tamil Nadu, India)

For questions please email to the workshop chairs:
rkanch at ssn dot edu dot in