Divide-and-conquer is a well-suited programming paradigm for parallel Grid applications. Our Satin system efficiently schedules the finegrained tasks of a divide-and-conquer appli...
Gosia Wrzesinska, Rob van Nieuwpoort, Jason Maasse...
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...
User constraints such as deadlines are important requirements that are not considered by existing cloud-based data processing environments such as Hadoop. In the current implementa...
Many XML filtering systems have emerged in recent years identifying XML data that structurally match XPath queries in an efficient way. However, apart from structural matching, it...