Fog-Computing-Enabled Applications, Use Cases and Verticals
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 657
Special Issue Editors
Interests: wireless communications and networking; satellite communications; mobile edge computing; fog computing; optimization techniques
Special Issues, Collections and Topics in MDPI journals
Interests: next-generation networks; software-defined networking; network function virtualization; cloud networking performance; resource orchestration in fog computing
Special Issue Information
We are happy to announce that a Special issue of MDPI Applied Sciences on "Fog-Computing-Enabled Applications, Use Cases and Verticals" is currently accepting submissions.
The increased number of services and applications used in different use cases and scenarios has emphasized the importance of processing infrastructure. While cloud computing has been broadly considered in recent years, it has shown some limitations—mainly related to cloud computing facilities locations which are often far from the source and/or destination of data. At the same time, new services have been introduced requiring reduced latency, increased reliability, and the management of massive amounts of data, showing the limitations of the cloud computing approach. Fog computing is a novel paradigm that has recently been introduced, aiming at implementing a near-to-the-user layer able to support and forecast service requests while avoiding the use of centralized computing resources, allowing low-latency response and proactive service deployments. Due to its pervasive nature, fog computing can be considered as a strategic building block for several applications, use cases, and verticals foreseen to be deployed in the upcoming 5G systems. The aim of this Special Issue is to attract the most recent research results in fog-computing-based applications in different vertical markets, including automotive, manufacturing, Industry 4.0, multimedia, energy, eHealth, public safety, smart cities, artificial intelligence, and big data.
Prof. Daniele Tarchi
Prof. Walter Cerroni
Guest Editors
Manuscript Submission Information
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Keywords
- Fog computing
- Automotive
- Manufacturing
- Industry 4.0
- Multimedia
- Energy
- eHealth
- Public safety
- Smart cities
- Artificial intelligence
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