Emotion-driven system for data center management

Corredera Arbide, Alberto, Romero, Marta and Moya Fernández, José Manuel ORCID: https://orcid.org/0000-0003-4433-2296 (2019). Emotion-driven system for data center management. "Applied Sciences /Big Data and Cognitive Computing", v. 9 (n. 19); pp. 1-15. ISSN 2504-2289. https://doi.org/10.3390/app9194073.


Title: Emotion-driven system for data center management
Item Type: Article
Título de Revista/Publicación: Applied Sciences /Big Data and Cognitive Computing
Date: September 2019
ISSN: 2504-2289
Volume: 9
Freetext Keywords: Smart Cities; internet of things; artificial intelligence; management; data fusion; buildingsand infrastructures; data centers; control platforms; policy development; sensors and actuators
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[thumbnail of INVE_MEM_2019_315453.pdf]
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (890kB) | Preview


Complex Information Systems and infrastructures, like Smart Cities, must be efficiently operated, minimizing inefficiencies and maximizing productivity. Traditional approaches are focused on improving the systems, automating processes and services, leaving aside human and emotions considerations. To achieve this efficient operation, we attempted to cover both sides. We found new ways to capture the information coming from the workforce, in our case, the operations management team, and, merged this information with the data from the IoT sensors from the systems, enabling aholistic view of the entire operations occurring in real-time. In a Data Center environment, we havedeveloped a set of tools for capturing the emotional data in order to detect potential biases caused by the specific mood of the person inside the operations team. We used Artificial Intelligence algorithms for finding the patterns that will help us to manage the system in the future. We compared and verified our findings with the existing references from other disciplines, e.g., Psychology. In this article, we expose some methods to be developed in future studies for supervising and increasing productivity in Data Centers, as a useful example for Smart Cities. Our research focuses on monitoring the mood and the emotional status of the personnel responsible for operating the system. We use this emotional data as an input for measurement.

More information

Item ID: 62597
DC Identifier: https://oa.upm.es/62597/
OAI Identifier: oai:oa.upm.es:62597
DOI: 10.3390/app9194073
Official URL: https://www.mdpi.com/2076-3417/9/19/4073
Deposited by: Memoria Investigacion
Deposited on: 22 Sep 2020 14:58
Last Modified: 22 Sep 2020 14:58
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM