2 citations · 3 across the 3 of their papers we have counts for
5 papers
HyProv: Hybrid Provenance Management for Scientific Workflows
Vasilis Bountris, Lauritz Thamsen, Ulf Leser
Provenance plays a crucial role in scientific workflow execution, for instance by providing data for failure analysis, real-time monitoring, or statistics on resource utilization f…
Strategies to Measure Energy Consumption Using RAPL During Workflow Execution on Commodity Clusters
Philipp Thamm, Ulf Leser
In science, problems in many fields can be solved by processing datasets using a series of computationally expensive algorithms, sometimes referred to as workflows. Traditionally,…
WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows
Fabian Lehmann, Jonathan Bader, Friedrich Tschirpke +6
Scientific workflows process extensive data sets over clusters of independent nodes, which requires a complex stack of infrastructure components, especially a resource manager (RM)…
Exploring the Potential of Carbon-Aware Execution for Scientific Workflows
Kathleen West, Fabian Lehmann, Vasilis Bountris +3
Scientific workflows are widely used to automate scientific data analysis and often involve processing large quantities of data on compute clusters. As such, their execution tends…
The Common Workflow Scheduler Interface: Status Quo and Future Plans
Fabian Lehmann, Jonathan Bader, Lauritz Thamsen +1
Nowadays, many scientific workflows from different domains, such as Remote Sensing, Astronomy, and Bioinformatics, are executed on large computing infrastructures managed by resour…