Edge/Fog Computing

Dear Colleagues,

Fog computing, also known as Edge computing, is an emerging computational paradigm, increasingly utilized in Internet of Things (IoT) applications, particularly those that cannot be served efficiently using Cloud computing due to limitations such as bandwidth, latency, Internet connectivity. While Edge computing or Edge analytics may exclusively refer to performing analytics at devices that are on, or close to, the network’s edge, a fog computing architecture would perform analytics on anything from the network center to the edge.

Moreover, a new class of computing surface is emerging called the Mist. The Mist consists of the edge, that is, the very edge: the sensor and actuator controllers. If Fog computing defines IoT resources in close proximity to things, Mist computing defines IoT resources directly on or in things. This decreases latency and increases subsystems’ autonomy.

From a functional standpoint, Fog and Mist computing hardware must support multiple cores with virtualization technology to support software-defined automation and digitization requirements. This hardware must also provide the necessary performance for on-machine data analytics, control, monitoring and communication with other elements of the mist or fog computing network. Addressing many of these needs are new, small form factor embedded CPUs and system offerings from companies like Qualcomm, Hitachi, ADL Embedded Solutions and others, which are bringing full-featured compact CPUs and industrial embedded PC designs to market.

In this Special Issue, we want to address recent advances in the following topics to realize the full potential of Fog/Mist Computing:

• Architectures and Middleware for Edge Computing
• Edge Analytics Sensors
• Embedded cognitive IoT
• Swarm Intelligence via the Internet of Things
• Local Cloud/Fog Computing
• Grid/Mesh Computing
• Fluid Computing: Unifying Cloud, Fog, and Mist Computing
• Continuum Computing
• Autonomic Self-healing Networks
• Virtual Cloudlets
• Remote Cloud Services
• Embodied Agents
• Augmented Reality
• Energy Efficiency Aspects in Edge Computing
• Architectures and Middleware for Edge Computing
• Hardware for IoT Mist Computing
• Neuromorphic Chips
• Fog/Edge Applications: Smart home, Smart Cities, Industry 4.0

Submissions are invited for both original research and review articles. Additionally, invited papers based on excellent contributions to recent conferences in this field will be included in this Special Issue. It is hoped that this collection of high-quality works in edge/fog/mist Computing will serve as an inspiration for future research in this field.

Dr. Giandomenico Spezzano
Guest Editor

Manuscript Submission Information

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• Fog Computing
• Edge Analytics
• Swarm Devices
• IoT
• Smart Objects
• Multi-Agent Systems
• Embedded Hardware