June 9, 2019
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Article

Self-organizing Maps versus Growing Neural Gas in Detecting Anomalies in Data Centres

Publicated to: LOGIC JOURNAL OF THE IGPL. 23 (3): 495-505 - 2015-06-01 23(3), DOI: 10.1093/jigpal/jzv008

Authors:

Zapater, M; Fraga, D; Malagón, P; Bankovic, Z; Moya, JM
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Affiliations

UCM UPM, Madrid 28040, Spain - Author
Univ Politecn Madrid, Dept Elect Engn, E-28040 Madrid, Spain - Author
UPM, IMDEA Software Inst, Madrid 28223, Spain - Author
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Abstract

Reliability is one of the key performance factors in data centres. The out-of-scale energy costs of these facilities lead data centre operators to increase the ambient temperature of the data room to decrease cooling costs. However, increasing ambient temperature reduces the safety margins and can result in a higher number of anomalous events. Anomalies in the data centre need to be detected as soon as possible to optimize cooling efficiency and mitigate the harmful effects over servers. This article proposes the usage of clustering-based outlier detection techniques coupled with a trust and reputation system engine to detect anomalies in data centres. We show how self-organizing maps or growing neural gas can be applied to detect cooling and workload anomalies, respectively, in a real data centre scenario with very good detection and isolation rates, in a way that is robust to the malfunction of the sensors that gather server and environmental information.
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Keywords

Anomaly detectionData centresGrowing neural gasManagementSecuritySelf-organizing mapsSensor networksSystems

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal LOGIC JOURNAL OF THE IGPL due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2015, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Philosophy.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-25:

  • Google Scholar: 10
  • WoS: 4
  • Scopus: 5
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 8.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 8 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/41448/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 362
  • Downloads: 298
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ZAPATER SANCHO, MARINA) and Last Author (MOYA FERNANDEZ, JOSE MANUEL).

the author responsible for correspondence tasks has been ZAPATER SANCHO, MARINA.

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Awards linked to the item

Research by Marina Zapater has been partly supported by a PICATA predoctoral fellowship of the Moncloa Campus of International Excellence (UCM-UPM). This work has been partially supported by the Spanish Ministry of Economy and Competitiveness, under contracts TEC2012-33892 and IPT-2012-1041-430000, and INCOTEC.
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