An Analysis of Fog Computing Data Placement Algorithms

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.