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
Integrity Assurance Model (IAM) for Data Privacy and Preservation in Fog Computing Framework
C. Sabarinathan,B. Baranidharan +1 more
- 21 Sep 2022
TL;DR: In this article , the authors introduce a novel model called Integrity Assurance Model (IAM) that can be used in fog computing models for effectively managing the communication between the companies and users.
Effect of Messaging Model on the Reliable Data Transfer Latency in a Fog System
TL;DR: This study addresses the data transfer challenges in a scalable fog architecture and proposes a message queue based fast reliable data transmission mechanism and reveals that the message queue-based approach successfully relieves the latency cost of reliable data transfer in the inner fog.
Realizing Edge Computing Connectivity with Open Virtual Networking
Sean Murphy,Andrew Edmonds +1 more
- 01 Dec 2018
TL;DR: This paper describes the solution it has developed which enables Open Virtual Networking to be extended to the edge to support integration with a docker engine located at the edge of the network.
On non-intrusive prediction of activities and behavior
Guillermo Ramirez-Prado,Bashar Barmada,Veronica Liesaputra +2 more
- 01 Dec 2019
TL;DR: A smart home system that estimates people’s positions, activities and behavior using pressure sensors to allow for a larger sensing area and an Internet of Things platform in hand with Machine Learning algorithms to route signals and process them in the Cloud.
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