Emerging Trends and Challenges in Fog and Edge Computing for the Internet of Things
A special issue of IoT (ISSN 2624-831X).
Deadline for manuscript submissions: closed (1 October 2021) | Viewed by 23094
Special Issue Editors
Interests: computer networks; Internet of Things; LPWAN; fog/edge computing; wireless sensors networks; mobile ad hoc networks; networks of robots
Interests: distributed storage; fog/edge computing; network protocols; blockchain; p2p networks
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) requires a deep reorganization of the infrastructure to support acceptable Quality of Service (QoS). For 10 years, new paradigms have been proposed to realise a continuum between the Clouds and the IoT: the fog and edge computing. The goal of this new architecture is to plunge all the numerous tiny connected devices in near distributed resources that provide computing and storing capabilities. But the Internet was not designed for this usage at the origin. In this context we can enumerate different ongoing problems like internetworking and interoperability, how to store data and to perform distributed computation, or how to support mobility, scalability, availability, security in this infrastructure which has energy constraints.
This special issue addresses all those problems with encouraging emerging technologies from networks and distributed systems communities. In particular, we can note (but not limited to) the interesting information centric approaches (Named Data Networking, Information Centric Networking,...) or new adapted propositions for IoT in Peer-to-Peer (P2P) networks and distributed ledgers like blockchains.
Those systems are by definition complex to configure and monitor. To cope with this issue machine learning can provide auto-configuration, self-organisation and auto-diagnosis. Authors are so invited to share their experiences to apply deep learning, data mining, and reinforcement learning in fog and edge computing for the IoT.
Finally, very large scale experiments from the sensors to the clouds constitute a real challenge to validate protocols, architectures, systems, software programs and middlewares. We expect contributions in this area with special attention on open sources/open hardware and reproducibility. In vivo experiments and real deployments are also more than welcome to illustrate concretely this special issue in various domains like Industrie 4.0, environmental and wildlife monitoring, health, energy, telecommunications, multimedia.
To sum up, the topics are (but not limited to):
- QoS in Fog/Edge computing for the IoT
- Interoperability in Fog/Edge computing for the IoT
- Distributed storage in Fog/Edge computing for the IoT
- Security (threats detection, authentication, permission management) in Fog/Edge computing for the IoT
- Energy and sustainability in Fog/Edge computing for the IoT
- Service location protocols in Fog/Edge environments for the IoT
- Information Centric Networks (ICN) and Named Data Networking (NDN) in Fog/Edge computing for the IoT
- P2P networks and blockchains in Fog/Edge computing for the IoT
- Auto-configuration, self-organisation or server selection protocols in Fog/Edge computing for the IoT
- Auto-diagnosis in Fog/Edge computing for the IoT
- Deep Learning, Reinforcement Learning, Federated Learning in Fog/Edge computing for the IoT
- Large scale experiments in Fog/Edge computing for the IoT
- Applications of Fog/Edge computing for the IoT in Industry 4.0, ecosystem monitoring, health, energy, telecommunications, multimedia
Dr. Benoît Parrein
Dr. Bastien Confais
Guest Editors
Manuscript Submission Information
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