Next-Generation Cloud–Edge Computing: Systems and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 73
Special Issue Editor
Interests: cloud computing system; intelligent system; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the rapid development of emerging techniques in electronics—such as the Internet of Things (IoT), artificial intelligence (AI), 5G, and cloud computing—data generation and processing have undergone fundamental changes. The widespread deployment of IoT devices has led to exponential data growth across various scenarios, including smart homes, intelligent transportation, and industrial IoT. The traditional centralized cloud-computing model faces challenges such as high latency, limited network bandwidth, and data privacy and security issues when processing these data. Meanwhile, the low-latency and high-bandwidth features of 5G networks strongly support the development of edge computing. As a result, cloud–edge computing has emerged as the next-generation cloud computing paradigm.
However, existing edge-cloud computing systems still face challenges such as resource management across hierarchical nodes, maintaining data consistency between cloud and edge nodes, enhancing security and privacy protection mechanisms, and ensuring system reliability. New system-level designs are needed to address these challenges effectively. Meanwhile, cloud–edge computing has shown great potential in various fields, which calls for applications that fully utilize the ability of cloud–edge computing paradigm. The topics of interest for this Special Issue include, but are not limited to, the following:
- Resource management in heterogeneous cloud–edge systems.
- Task scheduling and load balancing in cloud–edge computing.
- Multi-edge node data synchronization.
- Privacy protection in cloud–edge architectures.
- Edge node security in cloud–edge computing.
- Fault-tolerant mechanisms in cloud–edge systems.
- Applications of cloud–edge computing in smart cities.
- Cloud–edge computing for intelligent transportation systems.
- Industrial IoT applications with cloud–edge computing.
- Healthcare applications of cloud–edge computing.
I look forward to receiving your contributions.
Dr. Ruhui Ma
Guest Editor
Manuscript Submission Information
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Keywords
- resource management
- task scheduling
- distributed computing
- data synchronization
- privacy protection
- edge node security
- fault-tolerant
- energy management
- IoT devices
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