Intelligent Cloud–Edge Networking: Innovations for Next-Gen Applications

Dear Colleagues,

The rapid proliferation of connected devices and the exponential growth of data traffic have fundamentally transformed modern computing paradigms. This Special Issue focuses on intelligent cloud–edge networking, an emerging field that integrates advanced networking technologies with artificial intelligence to optimize and enhance the collaboration between cloud data centers and edge computing nodes. The core aim is to address the evolving demands of next-generation applications such as augmented reality, autonomous vehicles, smart cities, and industrial IoT, which require ultra-low latency, high reliability, and adaptive resource management.

The purpose of this Special Issue is to consolidate recent theoretical advances and practical implementations that strengthen cloud–edge cooperation and intelligent networking. We welcome contributions that explore innovative algorithms, system architectures, and real-world case studies designed to meet the demands of next-generation applications. In particular, this Special Issue seeks to bridge the gap between traditional cloud-centric paradigms and emerging edge-centric approaches, promoting a holistic understanding of intelligent, scalable, and robust networking ecosystems.

This Special Issue complements existing research by presenting integrated, intelligence-driven approaches to cloud–edge interaction, with a focus on networking, distributed systems, AI, and real-time applications. It also encourages academic–industry collaboration to address emerging challenges in next-generation computing.

The scope includes, but is not limited to, the following: AI-driven network orchestration (including intelligent protocols), cloud–edge resource allocation, network slicing, distributed machine learning across cloud and edge, and security and privacy in cloud–edge networks. It also encompasses novel architectures and frameworks that enable seamless integration between cloud infrastructures and heterogeneous edge devices, with an emphasis on scalability and robustness.

Dr. Xuan-Qui Pham
Guest Editor

Manuscript Submission Information

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• cloud computing
• edge computing
• cloud–edge systems
• network orchestration
• distributed machine learning
• scalable network architectures
• network slicing
• network security and privacy
• next-generation applications
• autonomous systems