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Analysis of institutional authors

Alonso AAuthor

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June 16, 2019
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Resource management for enhancing predictability in systems with limited processing capabilities

Publicated to: Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010. - 2010-01-01 (), DOI: 10.1109/ETFA.2010.5641339

Authors:

Alonso A; Salazar E; López J
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Affiliations

Universidad Politécnica de Madrid - Author

Abstract

There is an increasing demand for computing systems composed by heterogeneous computers, connected by different types of networks, and that allow for accessing a wide range of services in a seamless way. Some of those computers are mobile or embedded and have limited resources, and can be overloaded when trying to handle their users demands. Then it is not possible to ensure a proper behaviour of the running applications. This can be an important problem when dealing with critical events in healthcare, home surveillance, or forest monitoring. Resource reservation is a valid basis for handling this issue. It allows for guaranteeing a certain resource share for applications that are important for the proper behavior of a given system. This paper describes an implementation of a resource management component and its integration in the Linux kernel. This piece of software has allowed to assign CPU budgets to standard Java threads, which is an important facility, given the widespread of this programming language. This implementation has been validated on service oriented middleware, where relevant services are executed by thread with guaranteed budget, to improve its predictability. ©2010 IEEE.
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Keywords

Instruction setsJavaKernelLinuxReal time systemsResource managementSafety

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Proceedings of the 15th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2010, Q4 Agency Scopus (SJR), its regional focus and specialization in Computer Science Applications, give it significant recognition in a specific niche of scientific knowledge at an international level.

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:

  • Scopus: 4
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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: 5 (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/6855/

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: 623
  • Downloads: 430
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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 (ALONSO MUÑOZ, ALEJANDRO ANTONIO) and Last Author (Lopez J).

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