Picture for Lauritz Thamsen

Lauritz Thamsen

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics

Add code
Aug 22, 2023
Viaarxiv icon

FedZero: Leveraging Renewable Excess Energy in Federated Learning

Add code
May 24, 2023
Viaarxiv icon

Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments

Add code
Nov 24, 2022
Figure 1 for Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Figure 2 for Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Figure 3 for Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Figure 4 for Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Viaarxiv icon

Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics

Add code
Nov 15, 2022
Viaarxiv icon

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning

Add code
Jul 22, 2022
Figure 1 for Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Figure 2 for Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Figure 3 for Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Figure 4 for Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
Viaarxiv icon

On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds

Add code
Nov 16, 2021
Figure 1 for On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Figure 2 for On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Figure 3 for On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Figure 4 for On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
Viaarxiv icon

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation

Add code
Aug 27, 2021
Figure 1 for Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
Figure 2 for Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
Figure 3 for Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
Figure 4 for Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation
Viaarxiv icon

Evaluation of Load Prediction Techniques for Distributed Stream Processing

Add code
Aug 10, 2021
Figure 1 for Evaluation of Load Prediction Techniques for Distributed Stream Processing
Figure 2 for Evaluation of Load Prediction Techniques for Distributed Stream Processing
Figure 3 for Evaluation of Load Prediction Techniques for Distributed Stream Processing
Figure 4 for Evaluation of Load Prediction Techniques for Distributed Stream Processing
Viaarxiv icon

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts

Add code
Jul 29, 2021
Figure 1 for Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Figure 2 for Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Figure 3 for Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Figure 4 for Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Viaarxiv icon

Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring

Add code
Apr 20, 2021
Figure 1 for Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Figure 2 for Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring
Viaarxiv icon