Lauritz Thamsen
Orcid: 0000-0003-3755-1503
According to our database1,
Lauritz Thamsen
authored at least 82 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures.
Future Gener. Comput. Syst., January, 2024
Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization.
Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024
Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024
2023
Special Issue on benchmarking, experimentation tools, and reproducible practices for data-intensive systems from edge to cloud.
Softw. Pract. Exp., December, 2023
Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems.
J. Syst. Archit., 2023
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics.
CoRR, 2023
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing?
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28, 2023
How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
AuctionWhisk: Using an auction-inspired approach for function placement in serverless fog platforms.
Softw. Pract. Exp., 2022
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview.
Datenbank-Spektrum, 2022
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems.
Proceedings of the 25th IEEE International Symposium On Real-Time Distributed Computing, 2022
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures.
Proceedings of the IEEE International Performance, 2022
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads.
Proceedings of the IEEE International Conference on Web Services, 2022
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing.
Proceedings of the IEEE International Conference on Cloud Engineering, 2022
Proceedings of the IEEE International Conference on Cloud Engineering, 2022
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022
Proceedings of the EdgeSys@EuroSys 2022: Proceedings of the 5th International Workshop on Edge Systems, Analytics and Networking, Rennes, France, April 5, 2022
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads.
Proceedings of the Euro-Par 2022: Parallel Processing, 2022
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing.
Proceedings of the IEEE International Conference on Big Data, 2022
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics.
Proceedings of the IEEE International Conference on Big Data, 2022
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies.
CoRR, 2021
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters.
Concurr. Comput. Pract. Exp., 2021
PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021
Let's wait awhile: how temporal workload shifting can reduce carbon emissions in the cloud.
Proceedings of the Middleware '21: 22nd International Middleware Conference, Québec City, Canada, December 6, 2021
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.
Proceedings of the IEEE International Performance, 2021
Proceedings of the Service-Oriented Computing - ICSOC 2021 Workshops, 2021
Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021
Proceedings of the IEEE International Conference on Cloud Engineering, 2021
Proceedings of the IEEE International Conference on Cloud Engineering, 2021
Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures.
Proceedings of the IEEE International Conference on Cloud Engineering, 2021
Proceedings of the IEEE International Conference on Cloud Engineering, 2021
Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems.
Proceedings of the EdgeSys@EuroSys 2021: 4th International Workshop on Edge Systems, 2021
Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms.
Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Predicting Medical Interventions from Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring.
Proceedings of the Artificial Intelligence in Medicine, 2021
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
2020
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet?
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020
Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds.
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs.
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019
Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures.
Proceedings of the 3rd IEEE International Conference on Edge Computing, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017
Proceedings of the 18th International Conference on Parallel and Distributed Computing, 2017
Adaptive Resource Management for Distributed Data Analytics based on Container-level Cluster Monitoring.
Proceedings of the 6th International Conference on Data Science, 2017
Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2017
Proceedings of the Computing Frontiers Conference, 2017
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
2016
When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems Workshops, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015
Proceedings of the Workshop on Future Programming, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Object versioning to support recovery needs: using proxies to preserve previous development states in lively.
Proceedings of the DLS'14, 2014
2012
Proceedings of the 10th International Conference on Creating, 2012