Middleware
for
Digital Twin
2023
December 12, 2023
University of Bologna, Italy
University of Bologna, Italy
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Nowadays, the concept of Digital Twin (DT) is used in a wide variety of domains
such as manufacturing, healthcare, smart cities, smart agriculture, smart grids,
and mechanical engineering, to enhance the performance, enable proactive
maintenance to extend the physical system’s life, enhanced productivity, and
faster innovation with reduced costs.
Typically, the digital twin systems are generated and then synchronized using
data flows in both directions between the
real-world physical components and their virtual replica counterparts.
Furthermore, a digital twin can enable continuous prototyping, and testing
on-demand, without interruption, assuring and self-optimizing the forthcoming 5G
network and beyond. It creates virtual replicas of IoT devices in various
application scenarios and maintains a device twin for every connected device.
Furthermore, Industrial Internet of Things (IIoT) middleware, service-oriented
middleware, and many other middleware
modernization approaches are providing a Virtual Automation Bus (VAB) to offer
end-to-end connectivity between physical
assets and the digital twin through many heterogeneous communication protocols,
brokers, and messaging services, while
ensuring interoperability among heterogeneous protocols and facilitating
cross-layer interaction with the digital twin through VAB.
The main goal of ACM/IFIP Midd4DT 2023 workshop is to address these challenges and present advanced and innovative tools, techniques, models, architectures, specifications, architectures, and algorithms that bring diverse middleware technologies to DT in IoT applications and services. Contributions addressing both theoretical and practical applications, including, but not limited to, the following topics, are welcome for submission:
The Midd4DT 2023 proceeding will be published in the ACM Digital Library. Authors are invited to submit
original,
unpublished research. Papers must be written in English and strictly following
ACM
SIGPLAN style (10pt font size) .
Papers are to be submitted through the HotCRP system
Submitted papers will be evaluated according to their rigor, significance, originality, technical quality, and exposition, by at least three distinct members of an international program committee.
At least one author of each accepted paper must register and participate in the workshop. Registration is subject to the terms, conditions, and procedures of the main conference.
Professor Yan Zhang is a
Full Professor with the Department of Informatics, researcher in
Simula Metropolitan
Center for Digital Engineering, both at the
University of Oslo, Norway.
He received the Ph.D. degree from the School of Electrical and Electronics Engineering,
Nanyang Technological University, Singapore.
His research interests include energy informatics,
Mobile Edge Computing, Edge Intelligence, Blockchain,
Internet of Vehicles, Digital Twin,
Next-Generation Wireless Networks leading to 5G
beyond/6G, green and secure cyber-physical systems
(e.g., smart grid and transport).
In this talk, we mainly introduce our proposed new research direction: Digital Twin Edge Networks (DITEN). We first present the concept and model related to Digital Twin (DT) and DITEN. Then, we focus on new research challenges and results when machine learning is exploited in DITEN, including federated learing, deep reinforcement learning and transfer learning. DT building, DT placement and DT transfer as unique research questions, will be defined and analyzed. We are also expecting that the talk will help the audience understand the future development of edge computing, e.g., digital twin edge networks in the context of Metaverse.
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