Special Issue "Edge/Fog Computing"
Deadline for manuscript submissions: 20 January 2019
Prof. Dr. Giandomenico Spezzano
National Research Council of Italy (CNR-Consiglio Nazionale delle Ricerche), University of Calabria, Rende, Italy
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Interests: IoT Based On Smart Objects; Distributed and Pervasive Intelligent Systems; Internet of Things for Smart Cities, Smart Buildings, Smart Home; Urban Computing; Cloud of Things; Middleware for Fog/Edge Infrastructures; Smart Agents for Fog/Edge/Mist Computing; Scalable Distributed Data Mining; Cognitive IoT; Swarm Intelligence; Smart Cities, Smart Buildings, Smart Manufacturing
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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
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- Fog Computing
- Edge Analytics
- Swarm Devices
- Smart Objects
- Multi-Agent Systems
- Embedded Hardware
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Do We Really Need Cloud? Estimating the Fog Computing Capacities in the City of Barcelona
Author: Jordi Garcia Almiñana
Affiliation: Department of Computer Architecture, Universitat Politècnica de Catalunya, UPC Barcelona Tech
Abstract: Fog computing has emerged as a novel and challenging technology intended to complement the features of the cloud computing paradigm by exploiting the opportunities of locality. Moving some computation to the edge of the network is especially attractive in a smart city scenario, where a vast network of heterogeneous resources is widely distributed all over the city. In such scenario, using the available fog resources allows the deployment of a rich family of new services that combine the advantages of both, cloud and fog technologies. In fact, the amount of computing load that can be moved down to the edge will actually depend on the edge devices capacity. But, in this context, some key questions arise; for example, how much computing capacity is there at the edge? Are there enough resources to execute efficiently some deep computing applications? And the most relevant one, could the cloud layer be ignored in case of sufficient fog resources? In this paper, we analyze and estimate the fog computing capacity in a major European smart city: Barcelona. To this end, we analyze the available information about Barcelona and estimate the number of computing devices in the city that could be part of a fog environment, including personal computers, tablets, smartphones, on-board car computers, WiFi routers, and some other embedded computers deployed as part of the city services, such as traffic lights, traffic panels, street cabinets, and some other. Then, we estimate an average computing capacity for each type of computing device, in order to obtain the potential computing peak performance for an eventual fog cluster of Barcelona. We believe the results of this work will be useful to provide insights into the aforementioned open questions, but also for fog technology researchers and developers to understand the order of magnitude of a real smart city fog computing scenario.