Scientific workflows contain an increasing number of interacting applications, often with big disparity between the formats of data being produced and consumed by different applications. This mismatch can result in performance degradation as data …
Until recently most scientific applications produced data that is saved, analyzed and visualized at later time. In recent years, with the large increase in the amount of data and computational power available there is demand for applications to …