CFP: Special Issue "From Cloud to Edge: Digital Twin Orchestration and Development in the 6G Era" Elsevier Computer Communications (IF: 4.5)
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Marica Amadeo
May 17, 2025, 6:41:40 AMMay 17
to Marica Amadeo
================================================================================
CALL FOR PAPERS
Elsevier Computer Communications (IF 4.5)
Special Issue
“From Cloud to Edge: Digital Twin Orchestration and Development in
the 6G Era”
https://www.sciencedirect.com/special-issue/322133/from-cloud-to-edge-digital-twin-orchestration-and-development-in-the-6g-era
================================================================================
Digital Twins (DTs) are increasingly recognized as a transformative
component of the 6G vision, enabling intelligent, dynamic, and virtual
representations of real-world entities, ranging from autonomous
vehicles to entire urban environments and human users.
Yet, orchestrating DTs at scale in distributed and latency-sensitive
6G infrastructures poses significant challenges. These include the
need for expressive and adaptive DT models, intelligent discovery and
matchmaking across billions of heterogeneous DTs, and flexible
orchestration strategies that span the cloud-edge continuum. Efficient
DT placement and migration at the network edge, as well as the reuse
of DT services, are also essential to ensuring responsiveness and
resource efficiency.
In parallel, emerging technologies such as federated and transfer
learning offer new possibilities for decentralized DT intelligence,
enabling real-time learning while preserving data privacy.
Communication paradigms like Information-Centric Networking (ICN) and
social-aware frameworks inspired by the Social Internet of Things
(SIoT) further contribute to scalable DT interaction, trust, and
cooperation.
Despite growing academic and industrial interest, existing research
efforts remain fragmented across application domains or narrowly
focused on specific technologies. Therefore, this Special Issue is
motivated by the urgent need to consolidate research on the design,
orchestration, and intelligent coordination of DTs in 6G networks,
emphasizing system-level challenges and architectural innovation along
the cloud-edge continuum. The aim is to provide a timely forum to
explore cross-cutting solutions that will underpin scalable,
resilient, and interoperable DT ecosystems in the years ahead.
We welcome original research contributions, visionary perspectives,
system-level implementations, and experimental studies that
collectively advance the field. Topics of interest include, but are
not limited to:
DT modelling languages, architectures, and ontologies
DT lifecycle and state synchronization in real-time systems
Edge-Cloud continuum for DT orchestration
Federated learning and AI-based DT orchestration
Transfer learning and continual learning for DT adaptation
Generative Artificial Intelligence (AI)-enabled DT
Semantic-aware DT service discovery
DT caching and reuse strategies
Optimal DT placement and migration across edge nodes
Information-Centric Networking (ICN) for DT service provisioning
Trust management and privacy in DT ecosystems
DT-enabled social networking and Social IoT-based interaction models
Energy-efficient and green DT lifecycle management
DT testbeds and simulation platforms
DT applications in smart cities, healthcare, transportation, and Industry 5.0
Human Digital Twin
Standardization, interoperability, and cross-domain DT integration
Federated AI-native network DT architectures
Guest editors:
Marica Amadeo, PhD
University of Messina, Italy
Email: marica...@unime.it
Nadezda Chukhno, PhD
IMDEA Networks Institute, Madrid, Spain,
Email: nadezda...@imdea.org
Michele Nitti, PhD
University of Cagliari, Italy,
Email: michel...@unica.it
Yasir Saleem, PhD
Aberystwyth University, United Kingdom
Email: ys...@aber.ac.uk
Ion Turcanu, PhD
Luxembourg Institute of Science and Technology (LIST), Luxembourg,
Email: ion.t...@list.lu
***Manuscript submission information***
The journal's submission platform (Editorial Manager®) will be open
for submissions to this Special Issue from June 1st, 2025. Please
refer to the Guide for Authors to prepare your manuscript and select
the article type of “VSI: DT Orchestration” when submitting your
manuscript online. Both the Guide for Authors and the submission
portal could be found on the Journal Homepage: Computer Communications
| Journal | ScienceDirect.com by Elsevier.
The impact of SI contributions should be clearly demonstrated in the
context of the theme of the special issue. Papers that do not directly
address this theme are considered out of scope and are subject to
immediate rejection.
***Timeline***
Submission Open Date *01/06/2025
Final Manuscript Submission Deadline *15/10/2025
Editorial Acceptance Deadline *01/02/2026
--
Dr. Marica Amadeo
Tenure Track Assistant Professor
Department of Engineering
University of Messina (Italy)
E-mail: marica...@unime.it; marica...@gmail.com
Scholar Google Profile:
https://scholar.google.it/citations?user=52c4cz0AAAAJ&hl=it
--
Dr. Marica Amadeo
Tenure Track Assistant Professor
Department of Engineering
University of Messina (Italy)
E-mail: marica...@unime.it; marica...@gmail.com
Scholar Google Profile:
https://scholar.google.it/citations?user=52c4cz0AAAAJ&hl=it
CALL FOR PAPERS
Elsevier Computer Communications (IF 4.5)
Special Issue
“From Cloud to Edge: Digital Twin Orchestration and Development in
the 6G Era”
https://www.sciencedirect.com/special-issue/322133/from-cloud-to-edge-digital-twin-orchestration-and-development-in-the-6g-era
================================================================================
Digital Twins (DTs) are increasingly recognized as a transformative
component of the 6G vision, enabling intelligent, dynamic, and virtual
representations of real-world entities, ranging from autonomous
vehicles to entire urban environments and human users.
Yet, orchestrating DTs at scale in distributed and latency-sensitive
6G infrastructures poses significant challenges. These include the
need for expressive and adaptive DT models, intelligent discovery and
matchmaking across billions of heterogeneous DTs, and flexible
orchestration strategies that span the cloud-edge continuum. Efficient
DT placement and migration at the network edge, as well as the reuse
of DT services, are also essential to ensuring responsiveness and
resource efficiency.
In parallel, emerging technologies such as federated and transfer
learning offer new possibilities for decentralized DT intelligence,
enabling real-time learning while preserving data privacy.
Communication paradigms like Information-Centric Networking (ICN) and
social-aware frameworks inspired by the Social Internet of Things
(SIoT) further contribute to scalable DT interaction, trust, and
cooperation.
Despite growing academic and industrial interest, existing research
efforts remain fragmented across application domains or narrowly
focused on specific technologies. Therefore, this Special Issue is
motivated by the urgent need to consolidate research on the design,
orchestration, and intelligent coordination of DTs in 6G networks,
emphasizing system-level challenges and architectural innovation along
the cloud-edge continuum. The aim is to provide a timely forum to
explore cross-cutting solutions that will underpin scalable,
resilient, and interoperable DT ecosystems in the years ahead.
We welcome original research contributions, visionary perspectives,
system-level implementations, and experimental studies that
collectively advance the field. Topics of interest include, but are
not limited to:
DT modelling languages, architectures, and ontologies
DT lifecycle and state synchronization in real-time systems
Edge-Cloud continuum for DT orchestration
Federated learning and AI-based DT orchestration
Transfer learning and continual learning for DT adaptation
Generative Artificial Intelligence (AI)-enabled DT
Semantic-aware DT service discovery
DT caching and reuse strategies
Optimal DT placement and migration across edge nodes
Information-Centric Networking (ICN) for DT service provisioning
Trust management and privacy in DT ecosystems
DT-enabled social networking and Social IoT-based interaction models
Energy-efficient and green DT lifecycle management
DT testbeds and simulation platforms
DT applications in smart cities, healthcare, transportation, and Industry 5.0
Human Digital Twin
Standardization, interoperability, and cross-domain DT integration
Federated AI-native network DT architectures
Guest editors:
Marica Amadeo, PhD
University of Messina, Italy
Email: marica...@unime.it
Nadezda Chukhno, PhD
IMDEA Networks Institute, Madrid, Spain,
Email: nadezda...@imdea.org
Michele Nitti, PhD
University of Cagliari, Italy,
Email: michel...@unica.it
Yasir Saleem, PhD
Aberystwyth University, United Kingdom
Email: ys...@aber.ac.uk
Ion Turcanu, PhD
Luxembourg Institute of Science and Technology (LIST), Luxembourg,
Email: ion.t...@list.lu
***Manuscript submission information***
The journal's submission platform (Editorial Manager®) will be open
for submissions to this Special Issue from June 1st, 2025. Please
refer to the Guide for Authors to prepare your manuscript and select
the article type of “VSI: DT Orchestration” when submitting your
manuscript online. Both the Guide for Authors and the submission
portal could be found on the Journal Homepage: Computer Communications
| Journal | ScienceDirect.com by Elsevier.
The impact of SI contributions should be clearly demonstrated in the
context of the theme of the special issue. Papers that do not directly
address this theme are considered out of scope and are subject to
immediate rejection.
***Timeline***
Submission Open Date *01/06/2025
Final Manuscript Submission Deadline *15/10/2025
Editorial Acceptance Deadline *01/02/2026
--
Dr. Marica Amadeo
Tenure Track Assistant Professor
Department of Engineering
University of Messina (Italy)
E-mail: marica...@unime.it; marica...@gmail.com
Scholar Google Profile:
https://scholar.google.it/citations?user=52c4cz0AAAAJ&hl=it
--
Dr. Marica Amadeo
Tenure Track Assistant Professor
Department of Engineering
University of Messina (Italy)
E-mail: marica...@unime.it; marica...@gmail.com
Scholar Google Profile:
https://scholar.google.it/citations?user=52c4cz0AAAAJ&hl=it
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