Intelligent Centralized and Distributed Secure Edge Computing for Internet of Things Applications Ⅱ

Dear Colleagues,

At present, the patterns of application services, networks, and computing are changing very rapidly. First, the rapid improvement of networks and end-systems has led to changes in services from simple applications to a variety of intelligent multimedia applications. Second, improved ubiquitous interoperability and convergence technologies have led to changes in networks, from cellular- and Wi-Fi-based networks to heterogeneous networks including all-IP, device-to-device, ad-hoc, sensor networks, and Internet of Things (IoT). Lastly, new software-defined radio, resource virtualization, and network security technologies have led to user-oriented computing platforms. With these changes, edge computing and cloud computing have become active research areas. Moreover, various smart IoT services such as networked games, smart healthcare, home automation, virtual reality (VR) multimedia, and artificial intelligent (AI) robots are becoming efficient. For the best provision of smart IoT services with edge and cloud computing environments, efficient and intelligent centralized and distributed computing algorithms should be developed.

This Special Issue “Intelligent Centralized and Distributed Secure Edge Computing for Internet of Things Applications II” aims (i) to reflect recent developments in intelligent distributed and centralized controls and algorithms for edge and cloud computing-based IoT (ECI) services, and (ii) to identify critical issues and propose new guidelines that enable the development of future ECI services.

Submissions are expected to focus on both the theoretical aspects and the algorithm and application development of centralized and distributed edge and cloud computing. New ideas proposing disruptive approaches are also welcome.

Topics of interest include, but are not limited to, the following areas:

• Standardization of edge and cloud computing architectures
• Computing architectures, frameworks, platforms, and protocols
• Machine learning for edge and cloud computing
• Optimization, control, and automation in edge and cloud computing
• Low-latency communication and networking in edge and cloud computing
• New edge and cloud computing architecture for data sensing and processing
• 5G communication architecture and protocols for edge and cloud paradigms
• Interoperability and mobility for edge and cloud connectivity
• Big data analytics in edge and cloud paradigms
• Incentive models or techniques for data processing in edge and cloud paradigms
• Social IoT in edge and cloud paradigms
• Security and privacy issues in edge and cloud computing systems
• Dynamic resource, service, and context management for edge and cloud computing applications
• Simulation and emulation platforms for edge and cloud computing
• Algorithms and techniques for computation offloading in edge and cloud paradigms
• Quality of service provision in edge and cloud paradigms
• Semantic edge and cloud computing
• Consumer-centric emerging applications and services in edge and cloud computing
• Industrial edge and cloud computing
• Multiparty access control in edge and cloud computing assisted with evolving IoT
• Middleware for privacy protection in IoT applications

We hope that this Special Issue acts as a roadmap for all developers and users of the centralized and distributed edge and cloud computing platform.

Prof. Dr. Jihoon Lee
Prof. Wonjong Noh
Prof. Dr. Daeyoub Kim
Guest Editors

Manuscript Submission Information

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