Important Dates (all AoE - Anywhere on Earth):

Paper Submissions Due: August 15, 2021

Notification of Acceptance: Septembre 15, 2021

Camera ready papers due: October 1st, 2021

Early registration Deadline: October 1st, 2021

Nowadays, industrial enterprises and companies are addressing the challenge of transforming the Industrial IoT (IIoT) ideas, Industry 4.0, Cyber-Physical Systems (CPS), and similar concepts into reality. In the Industry 4.0 era, various data management research challenges have to be addressed. Huge amounts of heterogeneous sensor data have to be processed in real-time to control the production machines. Data processing through smart devices is more significant compared to information processing capacity. Nowadays, data becomes humongous, even coming from a single source. Besides, unstructured data from production reports or external sources must also be integrated to analyze and optimize the production process. Therefore, when data emanates from all heterogeneous sources distributed over the globe, its magnitude makes it harder to process up-to a needed scale.

With the rapid development of mobile internet, cyber-physical systems (CPS), and the Internet of Things (IoT)applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency, and non-adaptive machine type of communication. To help address these issues, the concept of edge or fog computing has been proposed. Edge Computing uses “gateway servers, cloudlets, fog nodes, and microdata centers,” all of which are highly advanced and sophisticated technologies. The world has seen many breakthroughs in machine learning and artificial intelligence research. By integrating the advances in smart devices and edge systems with the advances in machine learning, the future role of smart edge systems, networks, and applications is becoming limitless and it's expected to revolutionize the future of the world within the next few years.

The objective of this workshop is to be a forum for discussing the recent developments in Fog/Edge Computing that represent challenges and opportunities for CPS, machine learning, big data, mobile computing, wireless networks, embedded systems and IoT.

Topics of interests for this workshop include, but are not limited to:

• Architecture of edge systems.

• Resource Management Solutions Involving the Edge/Fog/Cloud.

• Experimental evaluation of edge computing.

• Co-existence of wireless technologies at the edge.

• Data collection and analytic techniques for mobile systems and applications.

• Edge systems, applications and services.

• Human factors for edge computing.

• Interactions between the edge, and the cloud.

• Emerging Fog Communication Technologies and Protocols (Time-Sensitive Networking, 5G).

• Machine learning for Internet of Things (IoT) devices, smart cities, and CPS.

• Fog Computing Security, Data Privacy and Trust.

• Theoretical foundations of machine learning for edge systems and applications.

• Wireless communications and networking architecture for edge systems.

The CloudAM workshop invites authors to submit original and unpublished work. Papers should not exceed 6 pages single-spaced double-column pages using IEEE format. Additional pages might be purchased upon the approval of the proceedings chair.

• Submission Link at easychair

• Submission requires the willingness of at least one of the authors to register for an early full and non-student fee and present the paper.

• All selected papers for this workshop are peer-reviewed and proceedings will be published by IEEE and made available online via the ACM Digital Library and IEEE Digital Library.