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Barycenter-Based Placement Strategy Towards Improving Replicas Distribution Quality

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On the Move to Meaningful Internet Systems: OTM 2016 Conferences (OTM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10033))

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Abstract

Replication of data on variant sites is a well-known technique used to face many challenges in data grid systems. In this respect, selecting the appropriate site to place a new replica is crucial to improve data grid performance. Many replicas placement strategies have been proposed in the literature. Each one of them targets a specific goal. In this paper, we try to reach a new goal which is the improvement of the replicas distribution quality. To this purpose, a new placement strategy is proposed in which the barycenter method is applied. This strategy allows to reduce the total remote accesses cost, to increase the quality of service, and to ensure that the benefits of the new replica placement will remain for a long-term. We evaluate the strategy through the OptorSim simulator. Results show that the new strategy achieves significant improvement in terms of replicas distribution quality and total execution time, in the short-term as well as in the long-term.

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Acknowledgements

We are grateful to the anonymous reviewers for their helpful comments and suggestions. We would like to express our sincere thanks to A.M. Rahmani and N. Saadat for their collaboration and for providing us with the source codes of PDDRA and PRA. We also thank H. Chettaoui for providing us the implementation of PO as well as an implementation of DR2.

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Authors and Affiliations

  1. Computer Science Department, Faculty of Sciences of Tunis, Tunis El Manar University, Tunis, Tunisia

    Chamseddine Hamdeni, Tarek Hamrouni & Faouzi Ben Charrada

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  1. Chamseddine Hamdeni
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  2. Tarek Hamrouni
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  3. Faouzi Ben Charrada
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Correspondence to Chamseddine Hamdeni .

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Editors and Affiliations

  1. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. TU Graz, Graz, Austria

    Robert Meersman

  4. La Trobe University, Melbourne, Australia

    Tharam Dillon

  5. Institute of Computer Languages, TU Wien, Vienna, Austria

    eva Kühn

  6. ADAPT Centre, Trinity College Dublin, Dublin 2, Ireland

    Declan O'Sullivan

  7. Università degli Studi di Milano Crema, Crema, Italy

    Claudio Agostino Ardagna

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Hamdeni, C., Hamrouni, T., Ben Charrada, F. (2016). Barycenter-Based Placement Strategy Towards Improving Replicas Distribution Quality. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2016 Conferences. OTM 2016. Lecture Notes in Computer Science(), vol 10033. Springer, Cham. https://doi.org/10.1007/978-3-319-48472-3_34

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  • DOI: https://doi.org/10.1007/978-3-319-48472-3_34

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