Scientific workflows facilitate automation, reuse, and reproducibility of scientific data management and analysis tasks. Scientific workflows are often modeled as dataflow networks...
: Software applications interoperability is a challenge for modern enterprises. It needs establishing standards and protocols for data exchange between different enterprise systems...
Abstract--The size, heterogeneity and dynamism of the execution platforms of scientific applications, like computational grids, make using those platforms complex. Furthermore, tod...
Abstract. Grid monitoring systems collect a substantial amount of information on the infrastructure’s status in order to perform various tasks, more commonly to provide a better ...
Abstract. New methods of data collection, in particular the wide range of sensors and sensor networks that are being constructed, with the ability to collect real-time data streams...