Evaluating a data removal strategy for grid environments using colored Petri nets

We use Colored Petri Nets (CPNs) for the modeling and performance analysis of grid architectures. We define a strategy for the optimization of grid storage usage, based on the addition of data removal tasks to grid workflows. We evaluate the strategy by simulating our CPN model of the grid. Experiments show that the strategy significantly reduces the amount of storage space needed to execute a grid application