Graphs are a natural fit for modeling concepts used in solving diverse problems in science,
commerce, engineering, and governance. Responding to the diversity of graph data and …

This paper explores novel techniques for improving the performance of many-task workflows
based on the Swift scripting language. We propose novel programmer options for automated …

With the explosion of social media, the Web, Internet of Things, and the proliferation of smart
devices, large amounts of data are being generated each day. However, traditional data …

To support data intensive cluster computing, it is increasingly important that node virtual
memory (VM) systems make effective use of available fast storage devices for swap or …

Scientific domains such as astronomy or bioinformatics produce increasingly large amounts
of data that need to be analyzed. Such analyses are modeled as scientific workflows …

Big data systems development is full of challenges in view of the variety of application areas
and domains that this technology promises to serve. Typically, fundamental design …

Compute clusters, consisting of many, uniformly built nodes, are used to run a large
spectrum of different workloads, like tightly coupled (MPI) jobs, MapReduce, or graph …

Graphs are a natural fit for modeling concepts used in solving diverse problems in science,
commerce, engineering, and governance. Responding to the variety of graph data and …

We present Nswap2L-FS, a fast, adaptable, and heterogeneous storage system for backing
file data in clusters. Nswap2L-FS particularly targets backing temporary files, such as those …

Los flujos de trabajo científico son una forma de definir la consecución de tareas complejas
en el ámbito científico. Para la creación de alto nivel de flujos de trabajo, se emplean …