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1st International IEEE Conference on Pervasive Services

Research Article

When the grid becomes pervasive to save the day, even Mitch Buchannon needs decision-making support

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/PERSER.2007.4283883,
        author={Julien Gossa and Lionel Brunie and Jean-Marc  Pierson},
        title={When the grid becomes pervasive to save the day, even Mitch Buchannon needs decision-making support},
        proceedings={1st International IEEE Conference on Pervasive Services},
        publisher={IEEE},
        proceedings_a={ICPS},
        year={2007},
        month={8},
        keywords={Computer architecture  Decision making  Distributed decision making  Grid computing  Merging  Middleware  Network topology  Pervasive computing  Proposals  Time factors},
        doi={10.1109/PERSER.2007.4283883}
    }
    
  • Julien Gossa
    Lionel Brunie
    Jean-Marc Pierson
    Year: 2007
    When the grid becomes pervasive to save the day, even Mitch Buchannon needs decision-making support
    ICPS
    IEEE
    DOI: 10.1109/PERSER.2007.4283883
Julien Gossa1,*, Lionel Brunie1,*, Jean-Marc Pierson2,*
  • 1: LIRIS, INSA Lyon, F-69621 Villeurbanne, FRANCE
  • 2: IRIT Paul Sabatier University, F-31062 Toulouse CEDEX 9, FRANCE
*Contact email: julien.gossa@liris.cnrs.fr, lionel.bruni@liris.cnrs.fr, pierson@irit.fr

Abstract

The merging of grid and pervasive computing raises new challenges. Its main impact is a critical increase of the dynamicity, heterogeneity and unpredictability of users, usages and even network topology. Moreover emergency scenarii are one of the most important target applications of pervasive grids: With strong time constraints the performances become a critical point and the decisions about the distribution become a key of the efficiency. However existing grid middlewares have been designed for quite stable, homogeneous, and predictable architectures. Our proposal is a distribution decision-making support designed to be easy, usable, and profitable. We present a use case of pervasive grid and demonstrate why existing solutions are not adapted. We show how our method has been embedded in a grid web service, namely the Network Distance Service (NDS) and illustrate its benefit on the main problems of distribution: replication, placement and selection. We show experimentation results and discuss how NDS handles the new constraints involved by the merging of grid and pervasive computing

Keywords
Computer architecture Decision making Distributed decision making Grid computing Merging Middleware Network topology Pervasive computing Proposals Time factors
Published
2007-08-08
Publisher
IEEE
Modified
2011-08-04
http://dx.doi.org/10.1109/PERSER.2007.4283883
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