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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Silva, D. M. A. da., Asaamoning, G., Orrillo, H., Sofia, R. C. & Mendes, P. M. (2019). An analysis of fog computing data placement algorithms. In MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. (pp. 527-534). Houston Texas, USA: Association for Computing Machinery.
Exportar Referência (IEEE) 
D. A. Silva et al.,  "An analysis of fog computing data placement algorithms", in MobiQuitous '19: Proc. of the 16th EAI Int. Conf. on Mobile and Ubiquitous Systems: Computing, Networking and Services, Houston Texas, USA, Association for Computing Machinery, 2019, pp. 527-534
Exportar BibTeX 
@inproceedings{silva2019_1775769017275,
	author = "Silva, D. M. A. da. and Asaamoning, G. and Orrillo, H. and Sofia, R. C. and Mendes, P. M.",
	title = "An analysis of fog computing data placement algorithms",
	booktitle = "MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1145/3360774.3368201",
	pages = "527-534",
	publisher = "Association for Computing Machinery",
	address = "Houston Texas, USA",
	organization = "EAI",
	url = "https://dl.acm.org/doi/proceedings/10.1145/3360774"
}
Exportar RIS 
TY  - CPAPER
TI  - An analysis of fog computing data placement algorithms
T2  - MobiQuitous '19: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
AU  - Silva, D. M. A. da.
AU  - Asaamoning, G.
AU  - Orrillo, H.
AU  - Sofia, R. C.
AU  - Mendes, P. M.
PY  - 2019
SP  - 527-534
DO  - 10.1145/3360774.3368201
CY  - Houston Texas, USA
UR  - https://dl.acm.org/doi/proceedings/10.1145/3360774
AB  - 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.
ER  -