Scalable and Distributed Cloud Continuum Orchestration for Next-Generation IoT Applications: Latest Advances and Prospects—2nd Edition
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 371
Special Issue Editors
Interests: software-defined networks; cognitive radio networks; IoT; big data; social network analysis; recommender systems
Special Issues, Collections and Topics in MDPI journals
Interests: computer networking; network optimisation; cloud computing; edge computing; multi-criteria decision-making
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the advent of the Internet of Things (IoT), the centralised cloud computing service delivery paradigm has been gradually transformed into a cloud continuum that includes edge and fog computing and heterogeneous IoT devices with varying computing and power capabilities. At the same time, the dawn of the 5G era demands advanced orchestration solutions that can meet the time- and mission-critical requirements of IoT-enabled applications.
However, several challenges still need to be addressed regarding these capabilities. The orchestration of such complex applications requires, for example, heterogeneous resources spread across the cloud continuum. The core advantage of edge computing is the placement of computational resources at the network edge to alleviate the computation burden of IoT devices, which are also augmented with enhanced computational capabilities. In this context, orchestrating such applications requires solutions for distributed service embedding, task offloading, resource autoscaling, and service migration in a real-time and scalable manner. With the evolution of the IoT and the advent of 5G/6G and massive machine-type communications, extremely dense networks are expected to be created, placing even more strain on the available infrastructure across the cloud continuum.
With this context in mind, this Special Issue invites novel conceptual, theoretical, and experimental contributions addressing the unresolved challenges in the area of the cloud continuum, the IoT, and AI. The topics of interest include, but are not limited to the following:
- Resource allocation and scheduling in the cloud continuum;
- Virtual network embedding in the cloud continuum;
- Scalability issues in the cloud continuum;
- Novel architectures in the cloud continuum;
- AI for QoS management in cloud continuum.
- task offloading in the cloud continuum;
- Energy sustainability in the cloud continuum;
- Digital twins in the cloud continuum;
- Network/resource monitoring in the cloud continuum;
- Computation and network infrastructure resilience and reliability;
- Virtualization solutions for distributed application deployment in the cloud continuum;
- Security issues in the cloud continuum;
- Architectures for digital forensics;
- Data analytics, traffic analysis, and classification in the cloud continuum;
- Testbeds and experimental facilities report.
Dr. Dimitrios Dechouniotis
Dr. Ioannis Dimolitsas
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- IoT
- AI cloud computing
- edge computing
- fog computing
- 5G/6G
- digital twins
- distributed service embedding
- task offloading
- resource autoscaling
- service migration
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