20 citations · 20 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures
Morgan K. Geldenhuys, Jonathan Will, Benjamin J. J. Pfister +3
The Internet of Things describes a network of physical devices interacting and producing vast streams of sensor data. At present there are a number of general challenges which exis…
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu +4
Distributed dataflow systems enable the use of clusters for scalable data analytics. However, selecting appropriate cluster resources for a processing job is often not straightforw…
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…