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Analysis of institutional authors

Montes, JesusCorresponding AuthorPerez, Maria S.Author

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June 9, 2019
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GMonE: A complete approach to cloud monitoring

Publicated to: Future Generation Computer Systems-The International Journal of eScience. 29 (8): 2026-2040 - 2013-10-01 29(8), DOI: 10.1016/j.future.2013.02.011

Authors:

Montes, J; Sánchez, A; Memishi, B; Pérez, MS; Antoniu, G
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Affiliations

Bretagne Atlantique, INRIA Rennes - Author
Univ Politecn Madrid, CesViMa - Author
Univ Politecn Madrid, Fac Informat - Author
Univ Rey Juan Carlos, ETS Ingn Informat - Author
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Abstract

The inherent complexity of modern cloud infrastructures has created the need for innovative monitoring approaches, as state-of-the-art solutions used for other large-scale environments do not address specific cloud features. Although cloud monitoring is nowadays an active research field, a comprehensive study covering all its aspects has not been presented yet. This paper provides a deep insight into cloud monitoring. It proposes a unified cloud monitoring taxonomy, based on which it defines a layered cloud monitoring architecture. To illustrate it, we have implemented GMonE, a general-purpose cloud monitoring tool which covers all aspects of cloud monitoring by specifically addressing the needs of modern cloud infrastructures. Furthermore, we have evaluated the performance, scalability and overhead of GMonE with Yahoo Cloud Serving Benchmark (YCSB), by using the OpenNebula cloud middleware on the Grid'5000 experimental testbed. The results of this evaluation demonstrate the benefits of our approach, surpassing the monitoring performance and capabilities of cloud monitoring alternatives such as those present in state-of-the-art systems such as Amazon EC2 and OpenNebula. (C) 2013 Elsevier B.V. All rights reserved.
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Keywords

Cloud computingLayerMonitoring

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Future Generation Computer Systems-The International Journal of eScience due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2013, it was in position 8/102, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Theory & Methods.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 3.62. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 4.06 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-24, the following number of citations:

  • WoS: 75
  • Scopus: 106
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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 2026-04-24:

  • 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: 114 (PlumX).

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/29165/

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: 573
  • Downloads: 2,239
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: France.

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 (MONTES SANCHEZ, JESUS) .

the author responsible for correspondence tasks has been MONTES SANCHEZ, JESUS.

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Awards linked to the item

This work is partially supported by the Madrid Regional Authority (Comunidad de Madrid) and the Universidad Rey Juan Carlos under the URJC-CM-2010-CET-5185 contract, the Spanish Ministry of Education under contract TIN2010-212889-C02-01 and the Marie Curie Initial Training Network (MCITN) SCALing by means of Ubiquitous Storage (SCALUS) under contract 238808. Experiments presented in this paper were carried out using the Grid'5000 experimental testbed, being developed under the INRIA ALADDIN development action with support from CNRS, RENATER and several Universities as well as other funding bodies (see https://www.grid5000.fr). The authors would also like to thank Eduardo Perez, who worked with us in the programming of GMonE.
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