All one needs to know about fog computing and related edge computing paradigms: A complete survey
Ashkan Yousefpour,Caleb Fung,Tam T. Nguyen,Krishna P. Kadiyala,Fatemeh Jalali,Amirreza Niakanlahiji,Jian Kong,Jason P. Jue +7 more
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Figures
Figure 8: Taxonomy of fog computing that is used in this survey. 
Figure 1: The structure of the survey. 
Figure 5: Fog brings several benefits for the application developers, applications, and different industries by distributing the core functions. 
Table 2: Attributes of fog-computing related paradigms 
Figure 2: Common cloud service models and their classifications relative what portion of the application stack is managed by cloud providers. 
Table 7: Summary of challenges and future research directions
Citations
MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum
TL;DR: In this article, the authors present an application-level cloud orchestration framework called MiCADO-Edge, which can automatically deploy complex sets of interconnected microservices in such multi-layered cloud-to-edge environments.
Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms
TL;DR: The architectural design of a slice orchestrator addressing the coordinated operation of entities at different infrastructures to support the automated orchestration of end-to-end Internet of Things services is presented, based on well-known standard technologies and protocols.
50
Authentication Techniques and Methodologies used in Wireless Body Area Networks
TL;DR: An overview of WBAN and their characteristics, various authentication types and classification of authentication schemes has been done, and a complete comparison of different authentication schemes is provided, which highlights their pros, cons, limitations, challenges, performance evaluation and their robustness against different security attacks.
49
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme
TL;DR: A fog-based democratically collaborative learning scheme in which fog nodes collaborate on the model training process even without the support of the cloud, contributing to the advances of IoT in terms of realizing a more intelligent edge.
49
A Framework for the Joint Placement of Edge Service Infrastructure and User Plane Functions for 5G.
TL;DR: This paper introduces a framework to jointly address the placement of edge nodes (ENs) and UPFs and relies on Integer Linear Programming (ILP) and heuristic solutions to minimize overall costs while satisfying the service requirements.
49
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