An Analysis of Fog Computing Data Placement Algorithms
Daniel Maniglia Amancio da Silva, Godwin Asamooning, Hector Orrillo,, Rute C. Sofia, Paulo M. Mendes

TL;DR
This paper evaluates three fog computing data placement algorithms in an IoT e-Health scenario, demonstrating that edge placement strategies reduce latency and energy use compared to cloud-only approaches.
Contribution
It provides an experimental comparison of three data placement algorithms in fog computing for IoT, highlighting the benefits of edge strategies.
Findings
Edge placement reduces latency
Edge strategies lower cloud energy expenditure
Cloud-only approach is less efficient
Abstract
This work evaluates three Fog Computing dataplacement algorithms via experiments carried out with theiFogSim simulator. The paper describes the three algorithms(Cloud-only, Mapping, Edge-ward) in the context of an Internetof Things scenario, which has been based on an e-Health systemwith variations in applications and network topology. Resultsachieved show that edge placement strategies are beneficial toassist cloud computing in lowering latency and cloud energyexpenditure.
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Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Blockchain Technology Applications and Security
