20 citations · 34 across the 4 of their papers we have counts for
5 papers · 1 filter
KS+: Predicting Workflow Task Memory Usage Over Time
Jonathan Bader, Ansgar Lößer, Lauritz Thamsen +2
Scientific workflow management systems enable the reproducible execution of data analysis pipelines on cluster infrastructures managed by resource managers such as Kubernetes, Slur…
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…
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters
Jonathan Bader, Fabian Lehmann, Lauritz Thamsen +3
Many scientific workflow scheduling algorithms need to be informed about task runtimes a-priori to conduct efficient scheduling. In heterogeneous cluster infrastructures, this prob…
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks
Daniel Habenicht, Kevin Kreutz, Soeren Becker +3
The increasing use of Internet of Things devices coincides with more communication and data movement in networks, which can exceed existing network capabilities. These devices ofte…
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs
Jonathan Will, Jonathan Bader, Lauritz Thamsen
Analyzing large datasets with distributed dataflow systems requires the use of clusters. Public cloud providers offer a large variety and quantity of resources that can be used for…