Cloud/Edge Computing for Next-Generation Networks: Architecture and Applications

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 717

Special Issue Editor


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Guest Editor
Department of Computer Science, University of Missouri—St. Louis, St. Louis, MO 63121, USA
Interests: networking; cloud computing; 5G/6G cellular networks; cybersecurity; AI

Special Issue Information

Dear Colleagues,

The rapid evolution of next-generation networks requires intelligent, flexible, and high-performance solutions to manage massive volumes of data and meet diverse computational demands. The combination of cloud and edge computing enables seamless integration between centralized and distributed processing, powering applications such as the industrial IoT, AI systems, smart cities, smart homes, and advanced mobile services. While this integration opens up transformative opportunities, it also poses challenges in areas such as system architecture, controllability, data flow optimization, and security.

This Special Issue aims to promote advances in cloud and edge computing for next-generation networks. We invite research contributions that propose, evaluate, or review innovative architectures, applications, and frameworks that focus on such critical challenges and unlock the full potential of these technologies.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Frameworks for integrating cloud and edge computing.
  • Resource allocation and scheduling in cloud-edge systems.
  • Security and privacy solutions for cloud-edge networks.
  • AI/ML-driven extensions for cloud-edge environments.
  • Interoperability in heterogeneous cloud-edge systems.
  • Energy-efficient designs for cloud-edge infrastructures.
  • Deployment strategies for cloud edges in 5G/6G networks.
  • Cloud-edge applications across industries (e.g., healthcare, smart cities, and smart homes).
  • Latency-critical use cases (e.g., autonomous vehicles, automation).
  • Reliability and fault tolerance in distributed cloud-edge ecosystems.

Dr. Lav Gupta
Guest Editor

Manuscript Submission Information

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Keywords

  • cloud computing
  • edge computing
  • 5G/6G networks
  • cloud-edge applications
  • cloud-edge systems

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Published Papers (1 paper)

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27 pages, 5632 KiB  
Article
Semantic Fusion of Health Data: Implementing a Federated Virtualized Knowledge Graph Framework Leveraging Ontop System
by Abid Ali Fareedi, Stephane Gagnon, Ahmad Ghazawneh and Raul Valverde
Future Internet 2025, 17(6), 245; https://doi.org/10.3390/fi17060245 - 30 May 2025
Viewed by 219
Abstract
Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from [...] Read more.
Data integration (DI) and semantic interoperability (SI) are critical in healthcare, enabling seamless, patient-centric data sharing across systems to meet the demand for instant, unambiguous access to health information. Federated information systems (FIS) highlight auspicious issues for seamless DI and SI stemming from diverse data sources or models. We present a hybrid ontology-based design science research engineering (ODSRE) methodology that combines design science activities with ontology engineering principles to address the above-mentioned issues. The ODSRE constructs a systematic mechanism leveraging the Ontop virtual paradigm to establish a state-of-the-art federated virtual knowledge graph framework (FVKG) embedded virtualized knowledge graph approach to mitigate the aforementioned challenges effectively. The proposed FVKG helps construct a virtualized data federation leveraging the Ontop semantic query engine that effectively resolves data bottlenecks. Using a virtualized technique, the FVKG helps to reduce data migration, ensures low latency and dynamic freshness, and facilitates real-time access while upholding integrity and coherence throughout the federation system. As a result, we suggest a customized framework for constructing ontological monolithic semantic artifacts, especially in FIS. The proposed FVKG incorporates ontology-based data access (OBDA) to build a monolithic virtualized repository that integrates various ontological-driven artifacts and ensures semantic alignments using schema mapping techniques. Full article
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