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
Swarm Decision Table and Ensemble Search Methods in Fog Computing Environment: Case of Day-Ahead Prediction of Building Energy Demands Using IoT Sensors
TL;DR: A new incremental learning model, the swarm decision table (SDT) in comparison with the classical decision tree is introduced, and the SDT shows superior results in terms of accuracy and time, demonstrating it as a suitable machine learning candidate in a fog computing environment.
20
Edge on Wheels With OMNIBUS Networking for 6G Technology
Mustafa Ergen,Feride Inan,Onur Ergen,Ibraheem Shayea,Mehmet Fatih Tuysuz,Azizul Azizan,Nazim Kemal Ure,Maziar Nekovee +7 more
TL;DR: A novel decentralised edge architecture, a solution called OMNIBUS, which enables a continuous distribution of computational capacity for end-devices in different localities by exploiting moving vehicles as storage and computation resources.
19
A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem
Mbasa Joaquim Molo,Joke A. Badejo,Emmanuel Adetiba,Emmanuel Adetiba,Vingi Patrick Nzanzu,Etinosa Noma-Osaghae,Victoria Oguntosin,Mushage Olivier Baraka,Claude Takenga,Sadeeq Suraju,Ezekiel Adebiyi +10 more
TL;DR: In this paper, the authors present how cloud computing evolved from one paradigm to another through the interplay of benefits such as improvement in computational resources through the combination of the strengths of various Cloud Service Providers (CSPs), decrease in latency, improvement in bandwidth, and so on.
A Review on Cloud and Fog Computing Integration for IoT: Platforms Perspective
Asrar Baktyan,Ammar Zahary +1 more
- 20 Mar 2018
TL;DR: This review focuses on the IoT platforms used for fog and cloud computing to serve IoT end-to-end services and the application of the cloud of thing and fog roles to improve the challenges of thecloud of things.
Optimal resilient distributed data collection in mobile edge environments
TL;DR: In this article, the authors propose novel algorithms for dynamic data summarization across space, supporting high reactivity and resilience by specific techniques maximising the speed at which information propagates towards collectors.
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