Elastic Data Analytics for the Cloud-to-Things Continuum

The massive deployment of Internet-connected devices has led to an increase in the collection of data that are then used by companies to improve their decision-making processes. This growing trend demands more and more cloud and communications infrastructure. The limited resources, the need for shar...

Full description

Saved in:
Bibliographic Details
Published inIEEE internet computing Vol. 26; no. 6; pp. 42 - 49
Main Authors Laso, Sergio, Berrocal, Javier, Fernandez, Pablo, Garcia, Jose Maria, Garcia-Alonso, Jose, Murillo, Juan M., Ruiz-Cortes, Antonio, Dustdar, Schahram
Format Journal Article
LanguageEnglish
Published IEEE 01.11.2022
Subjects
Cloud computing
Companies
Costs
Data analysis
Decision making
Internet of Things
Soft sensors
Online AccessGet full text

Cover

More Information
Summary:The massive deployment of Internet-connected devices has led to an increase in the collection of data that are then used by companies to improve their decision-making processes. This growing trend demands more and more cloud and communications infrastructure. The limited resources, the need for sharing them, and the fact that many consumers are interested in the same data, call for an efficient management of the available resources. The cloud-to-things continuum can be used to execute different analytics closer to the data source so that infrastructure consumption and data circulation can be optimized. In this article, different dimensions for achieving elastic analytics and a framework for dynamically modifying their behavior are proposed.
ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2021.3138153