Infrastructure Jean-Daniel Fekete To cite this version: Jean-Daniel Fekete. Infrastructure. Eurographics Association. Mastering the information age - Solv- ing problems with visual analytics, Eurographics Association, pp.87-108, 2010, 978-3-905673-77-7. hal-00696814 HAL Id: hal-00696814 https://hal.inria.fr/hal-00696814 Submitted on 18 May 2012 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 6 Infrastructure Jean-Daniel Fekete (
[email protected]) INRIA, France Nov. 2012 6.1 Motivation Supporting the strong demand in data storage, computation and interactive per- formances required by visual analytics applications is still a challenge. All currently existing visual analytics applications need to build their own specialised infrastructure for their specific problem. This is a normal stage of evolution in a domain of information science, as explained by Brian Gaines in his BRETAM model[6] (Figure 6.1). This model suggests that all research domains and fields run through the same stages. A new research domain or phenomenon starts by a Breakthrough – a discovery that can be physical or conceptual – followed by a Replication stage when the scientific community tries to replicate the initial discovery and test its limits.