Special Issue: Selection of Best Papers of the VLDB Data Management in Grids Workshop (VLDB DMG 2007)

摘要

Grid computing has greatly matured since the last decade. It exists now at a widely distributed scale. After 10 years of internationally combined efforts to develop from a vision to existing middlewares, we now face a large number of applications being deployed and taking benefit from the Grids. The need to handle data properly came with the applications, managing data at different semantic levels, from raw data coming from sensors in particle physics to rich data in Healthgrids. Most of the time, data management was ad hoc: The need to handle these data has been mainly seen as a constraint, and little effort has been put in their smart management in the early stages of the grid evolution. Data were present in raw files, or in databases, maybe distributed databases, but with little concerns from the application developer who focused on the core development of the process of the data.