The available number and amount of geospatial data are increasing. So is the complexity of performed calculations on these datasets. This leads to the need for efficient parallelization of geospatial tasks. Another aspect that plays an important role in connection with parallelization is distributed computing. In this paper six (research) questions are presented, that have to be answered in the context of parallelizing geospatial tasks in a grid computing environment. However, they are not restricted to the grid architecture. The questions include aspects of whether to parallelize the data or the tasks, data quality issues, system architecture decisions, and workflow orchestration.

Schlüsselwörter: Grid Computing, Parallelization, Data Quality