most citedLet's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud

109 citations · 130 across the 14 of their papers we have counts for

collaborators

25 papers

cs.DC202220 cited

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…

cs.NI2022

Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems

Christoph Blumschein, Ilja Behnke, Lauritz Thamsen +1

When IP-packet processing is unconditionally carried out on behalf of an operating system kernel thread, processing systems can experience overload in high incoming traffic scenari…

cs.DC20227 cited

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…

cs.NI20223 cited

A Priority-Aware Multiqueue NIC Design

Ilja Behnke, Philipp Wiesner, Robert Danicki +1

Low-level embedded systems are used to control cyber-phyiscal systems in industrial and autonomous applications. They need to meet hard real-time requirements as unanticipated cont…

cs.DC2021109 cited

Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud

Philipp Wiesner, Ilja Behnke, Dominik Scheinert +2

Depending on energy sources and demand, the carbon intensity of the public power grid fluctuates over time. Exploiting this variability is an important factor in reducing the emiss…

cs.DC2021

LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks

Soeren Becker, Florian Schmidt, Lauritz Thamsen +2

Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the…