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
Reinforcement Learning Methods for Computing Offloading: A Systematic Review
TL;DR: In this paper , the authors provide a systematic review of the widely used reinforcement learning (RL) approaches in computation offloading, including both binary offloading and partial offloading techniques.
43
An Intelligent Edge-based Digital Twin for Robotics
Luigi Girletti,Milan Groshev,Carlos Guimaraes,Carlos J. Bernardos,Antonio de la Oliva +4 more
- 01 Dec 2020
TL;DR: In this paper, the authors proposed a solution for an edge-based Digital Twin for robotics, which leverages on the cloud-to-things continuum to offload computation and intelligence from the robots to the network.
Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond
Hamed Rahimi,Yvan Picaud,kamal Deep Singh,Giyyarpuram Madhusudan,Salvatore Costanzo,Olivier Boissier +5 more
TL;DR: This paper deeply investigates Edge Computing in 5G and characterizes it based on the requirements of ultra-low latency applications and proposes a hybrid architecture that takes advantage of novel and sustainable technologies and has major features such as scalability, reliability, and ultra- low latency support.
43
Lightweight self-organising distributed monitoring of Fog infrastructures
TL;DR: FogMon is described, a C++ distributed monitoring prototype targeting Fog computing infrastructures that features a self-organising peer-to-peer topology with self-restructuring mechanisms, and differential monitoring updates, which ensure scalability, fault-tolerance and low communication overhead.
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A Survey on Cloudlets, Mobile Edge, and Fog Computing
Manoj Muniswamaiah,Tilak Agerwala,Charles C. Tappert +2 more
- 26 Jun 2021
TL;DR: In this article, the authors proposed a solution to manage a massive volume of time-sensitive and security-critical data produced by the Internet of Things (IoT) by using fog computing, accompanied by the edge paradigms for computing such as cloudlet, mobile edge, and multi-access edge computing (MEC).
43
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