| Thanks to the GRID computing, complex projects became possible to be solved by scientific communities of small and medium size. Projects such as ecosystems simulations, metrological simulations, molecules analyses, signals analyses, biomedical research or other problems having real socio-economic impacts. Thus supporting the scientific discoveries, the GRID since the beginning of the Nineties saw their popularities increasing. Today, they aren't anymore limiting by scientific applications. Now, we find them in business platform and also Web services. Their uses exceed the traditional limit of a private network. It becomes current to see GRID calling upon third-party resources through other networks and Internet. However, this expansion of the GRID to other networks doesn't guarantee a stable topology of the resources. The environment of use of the GRID becomes usually dynamic or even mobile.;The GRID architecture that we suggest introduces a new generation of more flexible, more dynamic and also intelligent GRID. Indeed, the new concepts of mobility introduced into the architecture of our GRID consider the mobility of certain resources and the quality of service of networks used. With it, GRIDs can now evolve dynamically with environments. |
