A scheduling strategy for problems of finite element analysis on computational grids

The demand for high-performance computing grows with the increasing number of applications within this field. A generalized grid-computing concept may not be restricted to a single facility or a country, but may rather feature a world-wide network of distributed supercomputing clusters that are to the disposal of many research groups around the world. Each individual cluster may differ a lot from the other participating clusters in terms of computing power. Also, the computational tasks which are to be assigned to different clusters may also differ in demand of computing power. Therefore, an accurate scheduling of the diverse computational tasks to different clusters improves the cost-effective utilization of the network resources