Document - Analytics Everywhere: Generating Insights from the Internet of Things

2019

Journal article Open Access

Analytics Everywhere: Generating Insights from the Internet of Things

Cao H., Wachowicz M., Renso C., Carlini E.

diagnostic analytics fog computing Computational Platforms edge computing Descriptive analytics predictive analytics General Computer Science Internet of Things General Materials Science cloud computing Machine Learning General Engineering

The Internet of Things is expected to generate an unprecedented number of unbounded data streams that will produce a paradigm shift when it comes to data analytics. We are moving away from performing analytics in a public or private cloud to performing analytics locally at the fog and edge resources. In this paper, we propose a network of tasks utilizing edge, fog, and cloud computing that are designed to support an Analytics Everywhere framework. The aim is to integrate a variety of computational resources and analytical capabilities according to a data life-cycle. We demonstrate the proposed framework using an application in smart transit.

Source: IEEE access 7 (2019): 71749–71769. doi:10.1109/ACCESS.2019.2919514

Publisher: Institute of Electrical and Electronics Engineers, Piscataway, NJ, Stati Uniti d'America

Metrics

Back to previous page

Cite as

BibTeX entry

@article{oai:it.cnr:prodotti:415403,
	title = {Analytics Everywhere: Generating Insights from the Internet of Things},
	author = {Cao H. and Wachowicz M. and Renso C. and Carlini E.},
	publisher = {Institute of Electrical and Electronics Engineers, Piscataway, NJ, Stati Uniti d'America},
	doi = {10.1109/access.2019.2919514},
	journal = {IEEE access},
	volume = {7},
	pages = {71749–71769},
	year = {2019}
}