Dr Lauritz Thamsen

Lecturer in Computer Systems (School of Computing Science)

telephone: 0141 330 2000 (x0652)
email: Lauritz.Thamsen@glasgow.ac.uk
pronouns: He/him/his

S 152, 15 Lilybank Gardens, via 18 Lilybank Gardens (Sir Alwyn Williams Building), University of Glasgow, Glasgow, G12 8RZ

Import to contacts

Biography

I am a Lecturer in Computer Systems in the School of Computing Science at the University of Glasgow, where my research focuses on resource-efficient distributed computer systems and where I teach operating systems, systems programming, and cloud systems.

Within the School, I am a member of the Glasgow Systems Section (GLASS), I contribute to the Low-Carbon and Sustainable Computing research theme, and I lead the Glasgow Carbon-Conscious Computing (GC₃) lab.
Beyond the School, I co-lead the collaboration on Adaptive Resource Management (ARM) with TU Berlin. In addition, I have previously coordinated a collaboration with researchers from TU Berlin and Hasso Plattner Institute (HPI) on Distributed Systems Engineering.

Since joining Glasgow in 2022, I have won an EPSRC New Investigator Award to work on Carbon-Aware Scalable Processing in Elastic Clusters (with AWS, BBC, and HU Berlin) and the Early-Career Teaching Excellence Award of the College of Science and Engineering (for several collaborative teaching-focused initiatives and day-to-day teaching of a particularly high standard). In addition, I helped run LOCO 2024 (as PC Co-Chair) and Euro-Par 2022 (as Local Chair) in Glasgow.

Before joining the University of Glasgow, I was a senior researcher in the Distributed and Operating Systems group at TU Berlin, lecturing on Cloud Computing and on Distributed Systems, and a guest professor in the Department of Computer Science at HU Berlin, substituting for Prof. Ulf Leser and lecturing on Data-Intensive Systems.
At TU Berlin, I furthermore completed a postdoc and did my PhD under Prof. Odej Kao, working on dynamic resource allocation for distributed dataflow systems. Prior to that, I was part of the Software Architecture Group of Prof. Robert Hirschfeld and the Research School at HPI, and I worked at SAP Labs in Palo Alto, California, in the Technology Infrastructure Practice group, under Dan Ingalls, as well as at Signavio in Berlin.

More about me and my research can be found at https://lauritzthamsen.org/.

Research interests

I am passionate about making computing more efficient, resilient, and sustainable. To this end, I work on methods and tools that make it easier to create resource-efficient and reliable distributed computer systems, focusing especially on adaptive resource management and carbon-aware computing for data-intensive applications running on edge/cloud infrastructure.

My research interests include:

Distributed computer systems
Edge and cloud computing
Compute resource management
Carbon-aware and sustainable computing
Data-intensive systems (e.g. data analytics, scientific workflows, AI/ML)
Systems engineering and operation tools

Publications

Selected publications

Bader, Jonathan, Lehmann, Fabian, Thamsen, Lauritz, Leser, Ulf and Kao, Odej (2024) Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. Future Generation Computer Systems, 150, pp. 171-185. (doi: 10.1016/j.future.2023.08.022)

Geldenhuys, Morgan K., Scheinert, Dominik, Kao, Odej and Thamsen, Lauritz (2022) Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. In: IEEE International Conference on Web Services (ICWS 2022), Barcelona, Spain, 11-15 July 2022, pp. 198-207. ISBN 9781665481434 (doi: 10.1109/ICWS55610.2022.00041)

Bermbach, David, Bader, Jonathan, Hasenburg, Jonathan, Pfandzelter, Tobias and Thamsen, Lauritz (2022) AuctionWhisk: using an auction-inspired approach for function placement in serverless fog platforms. Software: Practice and Experience, 52(5), pp. 1143-1169. (doi: 10.1002/spe.3058)

Wiesner, Philipp, Behnke, Ilja, Scheinert, Dominik, Gontarska, Kordian and Thamsen, Lauritz (2021) Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud. In: 22nd International Middleware Conference (Middleware '21), 06-10 Dec 2021, pp. 260-272. ISBN 9781450385343 (doi: 10.1145/3464298.3493399)

Wiesner, Philipp and Thamsen, Lauritz (2021) LEAF: Simulating Large Energy-Aware Fog Computing Environments. In: 2021 5th IEEE International Conference on Fog and Edge Computing (ICFEC), Melbourne, Australia, 10-13 May 2021, pp. 29-36. ISBN 9781665402910 (doi: 10.1109/ICFEC51620.2021.00012)

All publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2012

Number of items: 93.

2025

West, Kathleen, Reid, Magnus, Elkhatib, Yehia ORCID: https://orcid.org/0000-0003-4639-436X and Thamsen, Lauritz (2025) Ichnos: a Carbon Footprint Estimator for Scientific Workflows. In: Post-Proceedings of the 1st International Workshop on Low Carbon Computing (LOCO 2024), Glasgow, Scotland, 3 December 2024, (Accepted for Publication)

Lehmann, Fabian, Bader, Jonathan, Tschirpke, Friedrich, De Mecquenem, Ninon, Loßer, Ansgar, Becker, Soeren, Lewinska, Katarzyna Ewa, Thamsen, Lauritz and Leser, Ulf (2025) WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows. In: 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Tromsø, Norway, 19-22 May 2025, (Accepted for Publication)

West, Kathleen ORCID: https://orcid.org/0009-0001-4820-7241, Lehmann, Fabian, Bountris, Vasilis, Leser, Ulf, Elkhatib, Yehia ORCID: https://orcid.org/0000-0003-4639-436X and Thamsen, Lauritz (2025) Exploring the Potential of Carbon-Aware Execution for Scientific Workflows. In: 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid2025), Tromsø, Norway, 19-22 May 2025, (Accepted for Publication)

Will, Jonathan, Thamsen, Lauritz, Bader, Jonathan and Kao, Odej (2025) Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification. In: 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Tromsø, Norway, 19-22 May 2025, (Accepted for Publication)

Will, Jonathan, Treide, Nico, Thamsen, Lauritz and Kao, Odej (2025) Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling. In: 2024 IEEE International Conference on Big Data workshop BPOD 2024, Washington DC, USA, 15-18 December 2024, pp. 3825-3830. ISBN 9798350362480 (doi: 10.1109/bigdata62323.2024.10825367)

2024

Lehmann, Fabian, Bader, Jonathan, De Mecquenem, Ninon, Wang, Xing, Bountris, Vasilis, Friederici, Florian, Leser, Ulf and Thamsen, Lauritz (2024) Ponder: Online Prediction of Task Memory Requirements for Scientific Workflows. In: 20th IEEE International Conference on e-Science, Osaka, Japan, 16-20 Sep 2024, ISBN 9798350365610 (doi: 10.1109/e-Science62913.2024.10678682)

Bader, Jonathan, Lößer, Ansgar, Thamsen, Lauritz, Scheuermann, Björn and Kao, Odej (2024) KS+: Predicting Workflow Task Memory Usage Over Time. In: 4th Workshop on Reproducible Workflows, Data Management, and Security at eScience'24, Osaka, Japan, 16 September 2024, (Accepted for Publication)

Bader, Jonathan, Skalski, Fabian, Lehmann, Fabian, Scheinert, Dominik, Will, Jonathan, Thamsen, Lauritz and Kao, Odej (2024) Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. In: 26th IEEE International Conference on Cluster Computing, Kobe, Japan, 24-27 Sep 2024, (Accepted for Publication)

Wiesner, Philipp, Khalili, Ramin, Grinwald, Dennis, Agrawal, Pratik, Thamsen, Lauritz and Kao, Odej (2024) FedZero: Leveraging Renewable Excess Energy in Federated Learning. In: 15th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2024), Singapore, 4-7 June 2024, pp. 373-385. ISBN 9798400704802 (doi: 10.1145/3632775.3639589)

Will, Jonathan, Scheinert, Dominik, Zunzer, Seraphin, Bode, Jan, Kring, Cedric and Thamsen, Lauritz (2024) Privacy-Preserving Sharing of Data Analytics Runtime Metrics for Performance Modeling. In: ICPE 2024: The 9th Workshop on Challenges in Performance Methods for Software Development (WOSP-C), London, UK, 7-11 May 2024, pp. 269-272. ISBN 9798400704451 (doi: 10.1145/3629527.3652276)

Chen, S. et al. (2024) Coupled simulation of urban water networks and interconnected critical urban infrastructure systems: A systematic review and multi-sector research agenda. Sustainable Cities and Society, 104, 105283. (doi: 10.1016/j.scs.2024.105283)

Trihinas, Demetris and Thamsen, Lauritz (2024) Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings. In: Euro-Par 2023, Limassol, Cyprus, 28 Aug - 01 Sep 2023, pp. 256-259. ISBN 9783031488023 (doi: 10.1007/978-3-031-48803-0_28)

Geldenhuys, Morgan K., Scheinert, Dominik, Kao, Odej and Thamsen, Lauritz (2024) Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. In: 15th ACM/SPEC International Conference on Performance Engineering (ICPE 2024), London, UK, 7-11 May 2024, pp. 142-153. ISBN 9798400704444 (doi: 10.1145/3629526.3645048)

Bader, Jonathan, Diedrich, Nils, Thamsen, Lauritz and Kao, Odej (2024) Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. In: 2023 IEEE International Conference on Big Data, Sorrento, Italy, 15-18 Dec 2023, ISBN 9798350324457 (doi: 10.1109/BigData59044.2023.10386837)

Scheinert, Dominik, Becker, Soeren, Will, Jonathan, Englaender, Luis and Thamsen, Lauritz (2024) Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications. In: 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, 15-18 Dec 2023, pp. 2339-2345. ISBN 9798350324457 (doi: 10.1109/BigData59044.2023.10386195)

2023

Lehmann, Fabian, Bader, Jonathan, Thamsen, Lauritz and Leser, Ulf (2023) The Common Workflow Scheduler Interface: Status Quo and Future Plans. Workshop on Workflows in Support of Large-Scale Science (WORKS23),The International Conference on High Performance Computing, Network, Storage, and Analysis, New York, USA, 12-17 Nov 2023. ISBN 9798400707858 (doi: 10.1145/3624062.3626283)

Scheinert, Dominik, Wiesner, Philipp, Wittkopp, Thorsten, Thamsen, Lauritz, Will, Jonathan and Kao, Odej (2023) Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. In: 42nd IEEE International Performance Computing and Communications Conference (IPCCC 2023), Anaheim, CA, USA, 17-19 Nov 2023, ISBN 9798350302936 (doi: 10.1109/IPCCC59175.2023.10253884)

Will, Jonathan, Thamsen, Lauritz, Scheinert, Dominik and Kao, Odej (2023) Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? In: 35th International Conference on Scientific and Statistical Database Management (SSDBM2023), Los Angeles, California, USA, 10-12 July 2023, ISBN 9798400707469 (doi: 10.1145/3603719.3603733)

Lehmann, Fabian, Bader, Jonathan, Tschirpke, Friedrich, Thamsen, Lauritz and Leser, Ulf (2023) How Workflow Engines Should Talk to Resource Managers: A Proposal for a Common Workflow Scheduling Interface. In: 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2023), Bangalore, India, 1-4 May 2023, pp. 166-179. ISBN 9798350301199 (doi: 10.1109/CCGrid57682.2023.00025)

Behnke, Ilja, Blumschein, Christoph, Danicki, Robert, Wiesner, Philipp, Thamsen, Lauritz and Kao, Odej (2023) Towards a real-time IoT: approaches for incoming packet processing in cyber-physical systems. Journal of Systems Architecture, 140, 102891. (doi: 10.1016/j.sysarc.2023.102891)

Scheinert, Dominik, Becker, Soeren, Bader, Jonathan, Thamsen, Lauritz, Will, Jonathan and Kao, Odej (2023) Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. In: 2022 IEEE International Conference on Big Data, Osaka, Japan, 17-20 December 2022, pp. 209-216. ISBN 9781665480451 (doi: 10.1109/BigData55660.2022.10020860)

Scheinert, Dominik, Zadeh Aghdam, Babak Sistani, Becker, Soeren, Kao, Odej and Thamsen, Lauritz (2023) Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. In: 2022 IEEE International Conference on Big Data (IEEE BigData 2022), Osaka, Japan, 17-20 Dec 2022, pp. 4583-4588. ISBN 9781665480451 (doi: 10.1109/BigData55660.2022.10021129)

Will, Jonathan, Thamsen, Lauritz, Bader, Jonathan, Scheinert, Dominik and Kao, Odej (2023) Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. In: 2022 IEEE International Conference on Big Data, Osaka, Japan, 17-20 December 2022, pp. 161-169. ISBN 9781665480451 (doi: 10.1109/BigData55660.2022.10020295)

2022

Trihinas, Demetris, Thamsen, Lauritz, Beilharz, Jossekin and Symeonides, Moysis (2022) Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services. In: 10th IEEE International Conference on Cloud Engineering (IC2E), California, USA, 26-30 Sept 2022, pp. 29-35. ISBN 9781665491150 (doi: 10.1109/IC2E55432.2022.00011)

Will, Jonathan, Thamsen, Lauritz, Bader, Jonathan, Scheinert, Dominik and Kao, Odej (2022) Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. In: 10th IEEE International Conference on Cloud Engineering (IC2E), California, USA, 26-30 Sept 2022, ISBN 9781665491150 (doi: 10.1109/IC2E55432.2022.00014)

Zhu, Houkun, Scheinert, Dominik, Thamsen, Lauritz, Gontarska, Kordian and Kao, Odej (2022) Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. In: 10th IEEE International Conference on Cloud Engineering (IC2E), California, USA, 26-30 Sept 2022, pp. 150-159. ISBN 9781665491150 (doi: 10.1109/IC2E55432.2022.00023)

Bader, Jonathan, Lehmann, Fabian, Groth, Alexander, Thamsen, Lauritz, Scheinert, Dominik, Will, Jonathan, Leser, Ulf and Kao, Odej (2022) Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. In: 41st IEEE International Performance, Computing, and Communications Conference (IPCCC 2022), Austin, TX, USA, 11-13 November 2022, pp. 269-274. ISBN 9781665480185 (doi: 10.1109/IPCCC55026.2022.9894299)

Geldenhuys, Morgan K., Pfister, Benjamin J. J., Scheinert, Dominik, Thamsen, Lauritz and Kao, Odej (2022) Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. In: 17th Conference On Computer Science And Intelligence Systems (FedCSIS 2022), Sofia, Bulgaria, 4-7 September 2022, pp. 553-561. ISBN 9788396242396 (doi: 10.15439/2022F225)

Bader, Jonathan, Lehmann, Fabian, Thamsen, Lauritz, Will, Jonathan, Leser, Ulf and Kao, Odej (2022) Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. In: 34th International Conference on Scientific and Statistical Database Management (SSDBM 2022), Copenhagen, Denmark, 6-8 July 2022, ISBN 9781450396677 (doi: 10.1145/3538712.3538739)

Wiesner, Philipp, Scheinert, Dominik, Wittkopp, Thorsten, Thamsen, Lauritz and Kao, Odej (2022) Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. In: 28th International European Conference on Parallel and Distributed Computing (EURO-PAR 2022), Glasgow, Scotland, United Kingdom, 22-26 August 2022, pp. 218-232. ISBN 9783031125966 (doi: 10.1007/978-3-031-12597-3_14)

Thamsen, Lauritz, Scheinert, Dominik, Will, Jonathan, Bader, Jonathan and Kao, Odej (2022) Collaborative cluster configuration for distributed data-parallel processing: a research overview. Datenbank-Spektrum, 22(2), pp. 143-151. (doi: 10.1007/s13222-022-00416-z)

Pfister, Benjamin J. J., Lickefett, Wolf S., Nitschke, Jan, Paul, Sumit, Geldenhuys, Morgan K., Scheinert, Dominik, Gontarska, Kordian and Thamsen, Lauritz (2022) Rafiki: Task-level Capacity Planning in Distributed Stream Processing Systems. In: 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021), 30 August – 3 September 2021, pp. 352-363. ISBN 9783031061554 (doi: 10.1007/978-3-031-06156-1_28)

Habenicht, Daniel, Kreutz, Kevin, Becker, Soeren, Bader, Jonathan, Thamsen, Lauritz and Kao, Odej (2022) SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. In: 5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys' 22), Rennes, France, 05 Apr 2022, pp. 55-60. ISBN 9781450392532 (doi: 10.1145/3517206.3526275)

Blumschein, Christoph, Behnke, Ilja, Thamsen, Lauritz and Kao, Odej (2022) Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. In: 2022 IEEE 25th International Symposium on Real-Time Distributed Computing (ISORC), Västerås, Sweden, 17-18 May 2022, ISBN 9781665406277 (doi: 10.1109/ISORC52572.2022.9812841)

Behnke, Ilja, Wiesner, Philipp, Danicki, Robert and Thamsen, Lauritz (2022) A Priority-Aware Multiqueue NIC Design for Real-Time IoT Devices. In: 37th ACM/SIGAPP Symposium on Applied Computing (SAC), Virtual Event, 25 - 29 April 2022, pp. 534-538. ISBN 9781450387132 (doi: 10.1145/3477314.3507165)

Thamsen, Lauritz, Beilharz, Jossekin, Polze, Andreas and Kao, Odej (2022) The Methods of Cloud Computing. Technical Report. Technische Universität Berlin DepositOnce. (doi: 10.14279/depositonce-15190).

2021

Bader, Jonathan, Thamsen, Lauritz, Kulagina, Svetlana, Will, Jonathan, Meyerhenke, Henning and Kao, Odej (2021) Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. In: 2021 IEEE International Conference on Big Data (Big Data), 15-18 Dec 2021, pp. 65-75. ISBN 9781665439022 (doi: 10.1109/BigData52589.2021.9671519)

Scheinert, Dominik, Alamgiralem, Alireza, Bader, Jonathan, Will, Jonathan, Wittkopp, Thorsten and Thamsen, Lauritz (2021) On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds. In: 2021 IEEE International Conference on Big Data (Big Data), 15-18 Dec 2021, pp. 3113-3118. ISBN 9781665439022 (doi: 10.1109/BigData52589.2021.9671275)

Will, Jonathan, Arslan, Onur, Bader, Jonathan, Scheinert, Dominik and Thamsen, Lauritz (2021) Training Data Reduction for Performance Models of Data Analytics Jobs in the Cloud. In: 2021 IEEE International Conference on Big Data (Big Data), 15-18 Dec 2021, pp. 3141-3146. ISBN 9781665439022 (doi: 10.1109/BigData52589.2021.9671742)

Geldenhuys, Morgan K., Will, Jonathan, Pfister, Benjamin J.J., Haug, Martin, Scharmann, Alexander and Thamsen, Lauritz (2021) Dependable IoT Data Stream Processing for Monitoring and Control of Urban Infrastructures. In: 1st International Workshop on Testing Distributed Internet of Things Systems (TDIS) at 9th IEEE International Conference on Cloud Engineering (IC2E), 04-08 Oct 2021, pp. 244-250. ISBN 9781665449700 (doi: 10.1109/IC2E52221.2021.00041)

Gontarska, Kordian, Geldenhuys, Morgan, Scheinert, Dominik, Wiesner, Philipp, Polze, Andreas and Thamsen, Lauritz (2021) Evaluation of Load Prediction Techniques for Distributed Stream Processing. In: 9th International Conference on Cloud Engineering (IC2E), 04-08 Oct 2021, pp. 91-98. ISBN 9781665449700 (doi: 10.1109/IC2E52221.2021.00023)

Haug, Martin, Lorenz, Felix and Thamsen, Lauritz (2021) GRAL: Localization of Floating Wireless Sensors in Pipe Networks. In: 1st International Workshop on Testing Distributed Internet of Things Systems (TDIS) at 9th IEEE International Conference on Cloud Engineering (IC2E), 04-08 Oct 2021, pp. 251-257. ISBN 9781665449700 (doi: 10.1109/IC2E52221.2021.00042)

Becker, Soeren, Schmidt, Florian, Thamsen, Lauritz, Ferrer, Ana Juan and Kao, Odej (2021) LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. In: 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 27 Sep - 01 Oct 2021, pp. 41-50. ISBN 9781665412612 (doi: 10.1109/ACSOS52086.2021.00033)

Bermbach, Bermbach, Chandra, Abishek, Krintz, Chandra, Gokhale, Aniruddha, Slominski, Aleksander, Thamsen, Lauritz, Cavalcante, Everton, Guo, Tian, Brandic, Ivona and Wolski, Rich (2021) On the Future of Cloud Engineering. In: 2021 IEEE International Conference on Cloud Engineering (IC2E), 04-08 Oct 2021, pp. 264-275. ISBN 9781665449700 (doi: 10.1109/IC2E52221.2021.00044)

Scheinert, Dominik, Zhu, Houkun, Thamsen, Lauritz, Geldenhuys, Morgan K., Will, Jonathan, Acker, Alexander and Kao, Odej (2021) Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs Using Graph Propagation. In: 2021 IEEE International Performance, Computing, and Communications Conference (IPCCC), 29-31 Oct 2021, ISBN 9781665443319 (doi: 10.1109/IPCCC51483.2021.9679361)

Will, Jonathan, Thamsen, Lauritz, Scheinert, Dominik, Bader, Jonathan and Kao, Odej (2021) C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. In: 2021 IEEE International Conference on Cloud Engineering (IC2E), 04-08 Oct 2021, pp. 43-52. ISBN 9781665449700 (doi: 10.1109/IC2E52221.2021.00018)

Thamsen, Lauritz, Beilharz, Jossekin, Tran, Vinh Thuy, Nedelkoski, Sasho and Kao, Odej (2021) Mary, Hugo, and Hugo*: learning to schedule distributed data-parallel processing jobs on shared clusters. Concurrency and Computation: Practice and Experience, 33(18), e5823. (doi: 10.1002/cpe.5823)

Scheinert, Dominik, Thamsen, Lauritz, Zhu, Houkun, Will, Jonathan, Acker, Alexander, Wittkopp, Thorsten and Kao, Odej (2021) Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. In: 2021 IEEE International Conference on Cluster Computing (CLUSTER), 07-10 Sep 2021, pp. 261-270. ISBN 9781728196664 (doi: 10.1109/Cluster48925.2021.00052)

Tilcher, David Konstantin, Popescu, Florin, Sommer, Harald, Thamsen, Lauritz and Thamsen, Paul Uwe (2021) Control Optimization Through Prediction-Based Wastewater Management. In: ASME 2021 Fluids Engineering Division Summer Meeting, 10-12 Aug 2021, ISBN 9780791885291 (doi: 10.1115/FEDSM2021-65375)

Gontarska, Kordian, Wrazen, Weronika, Beilharz, Jossekin, Schmid, Robert, Thamsen, Lauritz and Polze, Andreas (2021) Predicting Medical Interventions From Vital Parameters: Towards a Decision Support System for Remote Patient Monitoring. In: 19th Conference on Artificial Intelligence in Medicine (AIME'21), 15-18 Jun 2021, pp. 293-297. ISBN 9783030772109 (doi: 10.1007/978-3-030-77211-6_33)

Danicki, Robert, Haug, Martin, Behnke, Ilja, Mädje, Laurenz and Thamsen, Lauritz (2021) Detecting and Mitigating Network Packet Overloads on Real-Time Devices in IoT Systems. In: 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2021), Online, United Kingdom, 26 April 2021, pp. 25-30. ISBN 9781450382915 (doi: 10.1145/3434770.3459733)

Beilharz, Jossekin, Wiesner, Philipp, Boockmeyer, Arne, Brokhausen, Florian, Behnke, Ilja, Schmid, Robert, Pirl, Lukas and Thamsen, Lauritz (2021) Towards a Staging Environment for the Internet of Things. In: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Workshops), 22-26 Mar 2021, pp. 312-315. ISBN 9781665404242 (doi: 10.1109/PerComWorkshops51409.2021.9431087)

Beilharz, Jossekin, Wiesner, Philipp, Boockmeyer, Arne, Friedenberger, Dirk, Brokhausen, Florian, Pirl, Lukas, Behnke, Ilja, Polze, Andreas and Thamsen, Lauritz (2021) Continuously Testing Distributed IoT Systems: An Overview of the State of the Art. 19th International Conference on Service-Oriented Computing (ICSOC) Workshops, Virtual Event, 22–25 November 2021.

Bender, Franz, Brune, Jan Jonas, Keutel, Nick Lauritz, Behnke, Ilja and Thamsen, Lauritz (2021) PIERES: A Playground for Network Interrupt Experiments on Real-Time Embedded Systems in the IoT. In: 9th International Workshop on Load Testing and Benchmarking of Software Systems (LTB) at the 12th ACM/SPEC International Conference on Performance Engineering (ICPE), 19 - 23 April 2021, pp. 81-84. ISBN 9781450383318 (doi: 10.1145/3447545.3451189)

Chen, Siling, Brokhausen, Florian, Wiesner, Philipp, Thamsen, Lauritz and Cominola, Andrea (2021) Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies. In: 2nd International Symposium on Water System Operations (ISWSO), Bristol, United Kingdom, 1-3 September 2021,

Ferrer, Ana Juan, Becker, Soeren, Schmidt, Florian, Thamsen, Lauritz and Kao, Odej (2021) Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. In: 1st Workshop on the Cloud-to-Things Continuum (Cloud2Things) at 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Melbourne, Australia, 10-13 May 2021, pp. 634-641. ISBN 9781728195865 (doi: 10.1109/CCGrid51090.2021.00076)

Scheinert, Dominik, Acker, Alexander, Thamsen, Lauritz, Geldenhuys, Morgan K. and Kao, Odej (2021) Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. In: 2nd Workshop on Cloud Intelligence (CloudIntelligence) at the 43th International Conference on Software Engineering (ICSE), 29 May 2021, pp. 7-12. ISBN 9781665445634 (doi: 10.1109/CloudIntelligence52565.2021.00011)

2020

Geldenhuys, Morgan, Thamsen, Lauritz and Kao, Odej (2020) Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. In: 2020 IEEE International Conference on Big Data (Big Data), 10-13 Dec 2020, pp. 434-440. ISBN 9781728162515 (doi: 10.1109/BigData50022.2020.9378474)

Lorenz, Felix, Geldenhuys, Morgan, Sommer, Harald, Jakobs, Frauke, Lüring, Carsten, Skwarek, Volker, Behnke, Ilja and Thamsen, Lauritz (2020) A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring. In: 2020 IEEE International Conference on Big Data (Big Data), 10-13 Dec 2020, pp. 3488-3493. ISBN 9781728162515 (doi: 10.1109/BigData50022.2020.9378138)

Will, Jonathan, Bader, Jonathan and Thamsen, Lauritz (2020) Towards Collaborative Optimization of Cluster Configurations for Distributed Dataflow Jobs. In: 2020 IEEE International Conference on Big Data (Big Data), 10-13 Dec 2020, pp. 2851-2856. ISBN 9781728162515 (doi: 10.1109/BigData50022.2020.9377994)

Behnke, Ilja, Pirl, Lukas, Thamsen, Lauritz, Danicki, Robert, Polze, Andreas and Kao, Odej (2020) Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? In: 2020 IEEE 39th International Performance Computing and Communications Conference (IPCCC), 06-08 Nov 2020, ISBN 9781728198293 (doi: 10.1109/IPCCC50635.2020.9391536)

Lorenz, Felix, Thamsen, Lauritz, Wilke, Andreas, Behnke, Ilja, Waldmüller-Littke, Jens, Komarov, Ilya, Kao, Odej and Paeschke, Manfred (2020) Fingerprinting Analog IoT Sensors for Secret-Free Authentication. In: 2020 29th International Conference on Computer Communications and Networks (ICCCN), 03-06 Aug 2020, ISBN 9781728166070 (doi: 10.1109/ICCCN49398.2020.9209643)

Thamsen, Lauritz, Verbitskiy, Ilya, Nedelkoski, Sasho, Tran, Vinh Thuy, Meyer, Vinícius, Xavier, Miguel G., Kao, Odej and De Rose, César A. F. (2020) Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs. In: Euro-Par 2019 International Workshops, Göttingen, Germany, 26-30 Aug 2019, pp. 519-530. ISBN 9783030483401 (doi: 10.1007/978-3-030-48340-1_40)

Geldenhuys, Morgan K., Thamsen, Lauritz, Gontarska, Kain Kordian, Lorenz, Felix and Kao, Odej (2020) Effectively Testing System Configurations of Critical IoT Analytics Pipelines. In: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 09-12 Dec 2019, pp. 4157-4162. ISBN 9781728108582 (doi: 10.1109/BigData47090.2019.9005504)

2019

Behnke, Ilja, Thamsen, Lauritz and Kao, Odej (2019) Héctor: A Framework for Testing IoT Applications Across Heterogeneous Edge and Cloud Testbeds. In: IEEE/ACM 12th International Conference on Utility and Cloud Computing (UCC '19), Auckland, New Zealand, 02-05 Dec 2019, pp. 15-20. ISBN 9781450370448 (doi: 10.1145/3368235.3368832)

Nedelkoski, Sasho, Thamsen, Lauritz, Verbitskiy, Ilya and Kao, Odej (2019) Multilayer Active Learning for Efficient Learning and Resource Usage in Distributed IoT Architectures. In: 2019 IEEE International Conference on Edge Computing (EDGE), Milan, Italy, 08-13 Jul 2019, pp. 8-12. ISBN 9781728127088 (doi: 10.1109/EDGE.2019.00015)

Janßen, Gerrit, Verbitskiy, Ilya, Renner, Thomas and Thamsen, Lauritz (2019) Scheduling Stream Processing Tasks on Geo-Distributed Heterogeneous Resources. In: 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 Dec 2018, pp. 5159-5164. ISBN 9781538650356 (doi: 10.1109/BigData.2018.8622651)

2018

Verbitskiy, Ilya, Thamsen, Lauritz, Renner, Thomas and Kao, Odej (2018) CoBell: Runtime Prediction for Distributed Dataflow Jobs in Shared Clusters. In: 2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Nicosia, Cyprus, 10-13 Dec 2018, pp. 81-88. ISBN 9781538678992 (doi: 10.1109/CloudCom2018.2018.00029)

Koch, Jannis, Thamsen, Lauritz, Schmidt, Florian and Kao, Odej (2018) SMiPE: Estimating the Progress of Recurring Iterative Distributed Dataflows. In: 2017 18th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), Taipei, Taiwan, 18-20 Dec 2017, pp. 156-163. ISBN 9781538631515 (doi: 10.1109/PDCAT.2017.00034)

Thamsen, Lauritz, Renner, Thomas, Verbitskiy, Ilya and Kao, Odej (2018) Adaptive Resource Management for Distributed Data Analytics. In: Grandinetti, Lucio, Mirtaheri, Seyedeh Leili, Shahbazian, Reza, Sterling, Thomas and Voevodin, Vladimir (eds.) Big Data and HPC: Ecosystem and Convergence. Series: Advances in Parallel Computing. IOS Press: Amsterdam, pp. 155-170. ISBN 9781614998815 (doi: 10.3233/978-1-61499-882-2-155)

2017

Thamsen, Lauritz, Verbitskiy, Ilya, Beilharz, Jossekin, Renner, Thomas, Polze, Andreas and Kao, Odej (2017) Ellis: Dynamically Scaling Distributed Dataflows to Meet Runtime Targets. In: 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), Hong Kong, China, 11-14 Dec 2017, pp. 146-153. ISBN 9781538606926 (doi: 10.1109/CloudCom.2017.37)

Renner, Thomas, Müller, Johannes, Thamsen, Lauritz and Kao, Odej (2017) Addressing Hadoop's Small File Problem with an Appendable Archive File Format. In: Computing Frontiers Conference (CF '17) - Workshop on Big Data Analytics (BigDAW '17), Siena, Italy, 15-17 May 2017, pp. 367-372. ISBN 9781450344876 (doi: 10.1145/3075564.3078888)

Renner, Thomas, Thamsen, Lauritz and Kao, Odej (2017) CoLoc: Distributed Data and Container Colocation for Data-Intensive Applications. In: 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, USA, 05-08 Dec 2016, pp. 3008-3015. ISBN 9781467390057 (doi: 10.1109/BigData.2016.7840954)

Thamsen, Lauritz, Renner, Thomas, Byfeld, Marvin, Paeschke, Markus, Schröder, Daniel and Böhm, Felix (2017) Visually Programming Dataflows for Distributed Data Analytics. In: 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, USA, 05-08 Dec 2016, pp. 2276-2285. ISBN 9781467390057 (doi: 10.1109/BigData.2016.7840860)

Thamsen, Lauritz, Verbitskiy, Ilya, Schmidt, Florian, Renner, Thomas and Kao, Odej (2017) Selecting Resources for Distributed Dataflow Systems According to Runtime Targets. In: 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), Las Vegas, NV, USA, 09-11 Dec 2016, ISBN 9781509052523 (doi: 10.1109/PCCC.2016.7820629)

Verbitskiy, Ilya, Thamsen, Lauritz and Kao, Odej (2017) When to Use a Distributed Dataflow Engine: Evaluating the Performance of Apache Flink. In: 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Toulouse, France, 18-21 Jul 2016, pp. 698-705. ISBN 9781509027712 (doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0114)

Renner, Thomas, Thamsen, Lauritz and Kao, Odej (2017) Adaptive Resource Management for Distributed Data Analytics Based On Container-Level Cluster Monitoring. In: 6th International Conference on Data Science, Technology and Applications, Madrid, Spain, 24-26 Jul 2017, pp. 38-47. ISBN 9789897582554 (doi: 10.5220/0006420100380047)

Thamsen, Lauritz, Rabier, Benjamin, Schmidt, Florian, Renner, Thomas and Kao, Odej (2017) Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. In: 2017 IEEE International Congress on Big Data (BigData Congress), Honolulu, HI, USA, 25-30 June 2017, pp. 145-152. ISBN 9781538619964 (doi: 10.1109/BigDataCongress.2017.28)

Thamsen, Lauritz, Verbitskiy, Ilya, Rabier, Benjamin and Kao, Odej (2017) Learning efficient co-locations for scheduling distributed dataflows in shared clusters. Services Transactions on Big Data, 4(1),

2016

Thamsen, Lauritz, Renner, Thomas and Kao, Odej (2016) Continuously Improving the Resource Utilization of Iterative Parallel Dataflows. In: 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW), Nara, Japan, 27-30 Jun 2016, pp. 1-6. ISBN 9781509036868 (doi: 10.1109/ICDCSW.2016.20)

Herb, Tobias, Thamsen, Lauritz, Renner, Thomas and Kao, Odej (2016) Aura: A Flexible Dataflow Engine for Scalable Data Processing. In: 9th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, pp. 117-126. ISBN 9783319395890 (doi: 10.1007/978-3-319-39589-0_9)

Otto, P. et al. (2016) Exploratory Authoring of Interactive Content in a Live Environment. Technical Report. Universitätsverlag Potsdam.

Thamsen, Lauritz, Steinert, Bastian and Hirschfeld, Robert (2016) Preserving Access to Previous System States in the Lively Kernel. In: Plattner, Hasso, Meinel, Christoph and Leifer, Larry (eds.) Design Thinking Research: Making Design Thinking Foundational. Series: Understanding Innovation. Springer: Cham, pp. 235-264. ISBN 9783319196404 (doi: 10.1007/978-3-319-19641-1_15)

2015

Renner, Thomas, Thamsen, Lauritz and Kao, Odej (2015) Network-Aware Resource Management for Scalable Data Analytics Frameworks. In: 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 29 Oct - 01 Nov 2015, pp. 2793-2800. ISBN 9781479999262 (doi: 10.1109/BigData.2015.7364083)

Felgentreff, Tim, Lincke, Jens, Hirschfeld, Robert and Thamsen, Lauritz (2015) Lively Groups: Shared Behavior in a World of Objects Without Classes or Prototypes. In: Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH '15) - Workshop on Future Programming (FPW 2015), Pittsburgh, PA, USA, 26-26 Oct 2015, pp. 15-22. ISBN 9781450339056 (doi: 10.1145/2846656.2846659)

Alexandrov, Alexander, Kunft, Andreas, Katsifodimos, Asterios, Schüler, Felix, Thamsen, Lauritz, Kao, Odej, Herb, Tobias and Markl, Volker (2015) Implicit Parallelism Through Deep Language Embedding. In: International Conference on Management of Data (SIGMOD/PODS '15), Melbourne, Australia, 31 May - 04 Jun 2015, pp. 47-61. ISBN 9781450327589 (doi: 10.1145/2723372.2750543)

2014

Steinert, Bastian, Thamsen, Lauritz, Felgentreff, Tim and Hirschfeld, Robert (2014) Object Versioning to Support Recovery Needs: Using Proxies to Preserve Previous Development States in Lively. In: 10th ACM Symposium on Dynamic languages (DLS '14), Portland, OR, USA, 20-24 Oct 2014, pp. 113-124. ISBN 9781450332118 (doi: 10.1145/2661088.2661093)

2012

Thamsen, Lauritz, Gulenko, Anton, Perscheid, Michael, Krahn, Robert, Hirschfeld, Robert and Thomas, David A. (2012) Orca: A Single-Language Web Framework for Collaborative Development. In: 2012 10th International Conference on Creating, Connecting and Collaborating through Computing, Playa Vista, CA, USA, 18-20 Jan 2012, pp. 45-52. ISBN 9781467310093 (doi: 10.1109/C5.2012.9)

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Articles

Book Sections

Research Reports or Papers

Otto, P. et al. (2016) Exploratory Authoring of Interactive Content in a Live Environment. Technical Report. Universitätsverlag Potsdam.

Conference or Workshop Item

Conference Proceedings

This list was generated on Sun Jun 15 10:52:09 2025 BST.

Grants

I am actively developing new research at the University of Glasgow and I am looking for collaborators.
I (co-)developed one successful project proposal at Glasgow:
- I am currently the project lead of the EPSRC New Investigator Award project Casper (until 2027).
I (co-)developed nine successful project proposals at TU Berlin as a postdoc and senior researcher under Prof. Odej Kao.
- I am currently still part of the DFG-funded collaborative research centre FONDA (until 2025) and the DFG-funded research project C5 (until 2026)
- Previously, I was involved in two funded research projects in the research centres BBDC/BIFOLD (BMBF), the interdisciplinary projects WaterGridSense (BMBF) and OPTIMA (EU Regional Development Fund), as well as the European teaching network ide3a (DAAD).
- I also helped to attract and lead an industry collaboration with the Bundesdruckerei Group as well as acquire TU Berlin funds for a department GPU cluster.
I was also part of the funded research project Telemed5000 (BMWi) and the HEIBRiDS graduate school (Helmholtz Association) as a senior researcher.

Supervision

Currently:

I am co-supervising Kathleen West, James Nurdin, and soon also Max MacDonald at Glasgow. In addition, I am the second supervisor of Theviyanthan Krishnamohan.
I am part of the PhD Thesis Advisory Committees of Jonathan Bader (TU Berlin), Fabian Lehmann (HU Berlin), Vasilis Bountris (HU Berlin), and Philipp Thamm in the DFG collaborative research centre FONDA.
I am looking for PhD students and MSci students to join my new sustainable computer systems lab at Glasgow.

PhD students at Glasgow:

Nurdin, James
Optimising Data Services for Sustainability Using Machine Learning-Based Forecasting
West, Kathleen
Carbon-Aware Execution of Scientific Workflows on Heterogeneous Clusters

Previously:

I have worked closely with around a dozen PhD students at TU Berlin (in the Distributed and Operating Systems group of Prof. Odej Kao), HPI (in the Operating Systems and Middleware group of Prof. Andreas Polze), and HU Berlin (in the Knowledge Management group of Prof. Ulf Leser) as a postdoc and senior researcher at TU Berlin and as a guest professor at HU Berlin.
I have supervised over a dozen L4/L5 and MSc dissertation projects at the University of Glasgow and (co)-supervised over two dozen Bachelor and Master theses as well as ten semester-long team projects at TU Berlin, HPI, and HU Berlin.
I have had visiting PhD students from Europe spent their summer in my lab at Glasgow.

Teaching

I have been teaching the basics of distributed systems, operating systems, and systems engineering as well as related advanced topics such as cloud computing and big data systems.

A full list of lecture modules, seminars, team projects, interdisciplinary courses, extracurricular teaching activities, and related administrative roles can be found at https://lauritzthamsen.org/teaching/.

Additional information

You can usually find me in S152 in the School of Computing Science (2nd floor, 15 Lilybank Gardens, accessible through the Sir Alwyn Williams Building, 18 Lilybank Gardens). When I am in the office, you can also reach me via +44 141 330 2000 (x0652).

I currently serve as the School’s Sustainability Subject Adviser. In this role, I am helping to integrate sustainable computing learning objectives into the School's degree programmes. In this context, I also lecture on the growing environmental footprint of computing in our core Level 2 course on Networks and Operating Systems Essentials.

I am a member of the School's EDI (Equality, Diversity, and Inclusion) committee. Together with colleagues, I coordinate and offer Disability Office Hours for CoSE students. We currently organise these once per semester. They are open to CoSE students of all programmes and levels (including UG, PGT, and PGR).

I organise our Upwards seminar series, which covers various aspects of research culture and working life in academia, with a focus on developing, conducting, and sharing research.

I help with CompuMatch, a service of the School to match scientists of other disciplines with computer scientists to foster new and innovative interdisciplinary research collaborations.

Previously, I was part of the School's student conduct team, coordinating cases of academic misconduct.

A profile photo of Dr Lauritz Thamsen

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