Online production validation in a HEP environment

In high energy physics (HEP) event simulations,petabytes of data are processed and stored requiring millionsof CPU-years. This enormous demand for computingresources is handled by centers distributedworldwide, whichform part of the LHC computing grid. The consumption ofsuch an important amount of resources demands for an efficientproduction of simulation and for the early detection ofpotential errors. In this article we present a new monitoringframework for grid environments, which polls a measure ofdata quality during job execution. This online monitoringfacilitates the early detection of configuration errors (speciallyin simulation parameters), and may thus contribute tosignificant savings in computing resources