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Analysis of institutional authors

Matri, PierreCorresponding AuthorPerez, Maria S.Author

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June 9, 2019
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Keeping up with storage: Decentralized, write-enabled dynamic geo-replication

Publicated to: Future Generation Computer Systems-The International Journal of eScience. 86 1093-1105 - 2018-09-01 86(), DOI: 10.1016/j.future.2017.06.009

Authors:

Matri, P; Pérez, MS; Costan, A; Bougé, L; Antoniu, G
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Affiliations

Inria Rennes - Author
IRISA ENS Rennes - Author
IRISA INSA Rennes - Author
Univ Politecn Madrid, Ontol Engn Grp - Author
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Abstract

Large-scale applications are ever-increasingly geo-distributed. Maintaining the highest possible data locality is crucial to ensure high performance of such applications. Dynamic replication addresses this problem by dynamically creating replicas of frequently accessed data close to the clients. This data is often stored in decentralized storage systems such as Dynamo or Voldemort, which offer support for mutable data. However, existing approaches to dynamic replication for such mutable data remain centralized, thus incompatible with these systems. In this paper we introduce a write-enabled dynamic replication scheme that leverages the decentralized architecture of such storage systems. We propose an algorithm enabling clients to locate tentatively the closest data replica without prior request to any metadata node. Large-scale experiments on various workloads show a read latency decrease of up to 42% compared to other state-of-the-art, caching-based solutions. (C) 2017 Elsevier B.V. All rights reserved.
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Keywords

CloudConsistencyDatabaseEfficientFault-toleranceGeo-replicationKey-value storePlacementReplicationStorageStrategy

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, 2018, it was in position 8/105, thus managing to position itself as a Q1 (Primer Cuartil), in the category Computer Science, Theory & Methods. Notably, the journal is positioned above the 90th percentile.

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 2026-04-27:

  • WoS: 6
  • Scopus: 8
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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 2026-04-27:

  • 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: 27 (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/50723/

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: 380
  • Downloads: 314
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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 (MATRI, PIERRE STEPHANE FRANCOIS) .

the author responsible for correspondence tasks has been MATRI, PIERRE STEPHANE FRANCOIS.

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Awards linked to the item

This work is part of the BigStorage project, supported by the European Commission under the Marie Sklodowska-Curie Actions (H2020-MSCA-1TN-2014-642963). The authors would like to thank the anonymous reviewers whose counsel and expertise greatly contributed to this research. The experiments presented in this paper were carried out on the Amazon Web Services infrastructure provided by Amazon through the AWS Cloud Credits for Research program.
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