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Analysis of institutional authors

Herrero Martin, Maria PilarAuthorMontes JCorresponding AuthorPerez MAuthor

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July 25, 2020
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Finding order in chaos: A behavior model of the whole grid

Publicated to: CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. 22 (11): 1386-1415 - 2010-08-10 22(11), DOI: 10.1002/cpe.1490

Authors:

Montes, Jesus; Sanchez, Alberto; Valdes, Julio J; Perez, Maria S; Herrero, Pilar
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Affiliations

Centro de Supercomputacion y Visualizacion de Madrid, Universidad Politecnica de Madrid - Author
Computational Intelligence Group. Universidad Politécnica de Madrid - Author
National Research Council Canada - Author
Natl Res Council Canada, Inst Informat Technol, Ottawa, ON K1A 0R6, Canada - Author
Univ Politecn Madrid, Ctr Supercomputac & Visualizac Madrid CeSViMa, Madrid, Spain - Author
Univ Politecn Madrid, Fac Informat, Madrid, Spain - Author
Univ Rey Juan Carlos, ETS Ingn Informat, Madrid, Spain - Author
Universidad Politécnica de Madrid - Author
Universidad Rey Juan Carlos - Author
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Abstract

Over the last decade, grid computing has paved the way for a new level of large-scale-distributed systems. However, this new step in distributed computing comes along with a completely new level of complexity. Grid management mechanisms play a key role, and a correct analysis and understanding of the grid behavior is needed. Traditional-distributed computing management mechanisms analyze each resource separately and adjust specific parameters of each one of them. When trying to adapt the same procedures to grid computing, the vast complexity of the system can complicate this task. But grid complexity could only be a matter of perspective. It is possible to understand the grid behavior as a single system, instead of a set of resources. This abstraction could provide a deeper understanding of the system, describing large-scale behavior and global events that probably would not be detected while analyzing each resource separately. In this paper a specific methodology is presented and described in order to create a global behavior model of the grid, analyzing it as a single entity. Both real and simulated case studies are also presented, in order to provide a proper validation and illustrate the benefits of this approach. Copyright © 2009 Crown in the right of Canada. Published by John Wiley & Sons, Ltd.
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Keywords

Data miningGrid behaviorGrid computingLarge-scale dsitributed systemsModellingResource-managementSystemsVision

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 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, 2010, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Computer Networks and Communications. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Theory & Methods.

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 2026-04-24:

  • WoS: 7
  • Scopus: 10
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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: 8 (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:

  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/95500/

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: 10
  • Downloads: 1
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Leadership analysis of institutional authors

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

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) and Last Author (Herrero P).

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

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