Scheduling is a key concern for the execution of performancedriven Grid applications. In this paper we comparatively examine different existing approaches for scheduling of scient...
Although scientific data analysis increasingly requires accessandmanipulation of large quantitiesof data,current databasetechnology fails to meet the needsof scientific processing...
Scientific data are posing new challenges to data management due to the large volume, complexity and heterogeneity of the data. Meanwhile, scientific collaboration becomes increas...
Fusheng Wang, Pierre-Emmanuel Bourgue, Georg Hacke...
With the advent of Grid and application technologies, scientists and engineers are building more and more complex applications to manage and process large data sets, and execute s...
Air Quality Forecasting (AQF) is a new discipline that attempts to reliably predict atmospheric pollution. An AQF application has complex workflows and in order to produce timely ...