An analysis of fog computing data placement algorithms
13 Citations•2019•
D. M. A. Silva, Godwin Asaamoning, Hector Orrillo
Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
Three Fog Computing data placement algorithms are evaluated via experiments carried out with the iFogSim simulator to show that edge placement strategies are beneficial to assist cloud computing in lowering latency and cloud energy expenditure.
Abstract
This work evaluates three Fog Computing data placement algorithms via experiments carried out with the iFogSim simulator. The paper describes the three algorithms (Cloud-only, Mapping, Edge-ward) in the context of an Internet of Things scenario, which has been based on an e-Health system with variations in applications and network topology. Results achieved show that edge placement strategies are beneficial to assist cloud computing in lowering latency and cloud energy expenditure.