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

  • @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