Number of items: 51.
2023
Behnke, I., Blumschein, C., Danicki, R., Wiesner, P., Thamsen, L. and Kao, O.
(2023)
Towards a real-time IoT: approaches for incoming packet processing in cyber-physical systems.
Journal of Systems Architecture,
(doi: 10.1016/j.sysarc.2023.102891)
(In Press)
Lehmann, F., Bader, J., Tschirpke, F., Thamsen, L. and Leser, U.
(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,
(Accepted for Publication)
Scheinert, D., Becker, S., Bader, J., Thamsen, L., Will, J. and Kao, O.
(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, D., Zadeh Aghdam, B. S., Becker, S., Kao, O. and Thamsen, L.
(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, J., Thamsen, L., Bader, J., Scheinert, D. and Kao, O.
(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, D., Thamsen, L., Beilharz, J. and Symeonides, M.
(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, J., Thamsen, L., Bader, J., Scheinert, D. and Kao, O.
(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, H., Scheinert, D., Thamsen, L., Gontarska, K. and Kao, O.
(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, J., Lehmann, F., Groth, A., Thamsen, L., Scheinert, D., Will, J., Leser, U. and Kao, O.
(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, M. K., Pfister, B. J. J., Scheinert, D., Thamsen, L. and Kao, O.
(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)
Geldenhuys, M. K., Scheinert, D., Kao, O. and Thamsen, L.
(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)
Bader, J., Lehmann, F., Thamsen, L., Will, J., Leser, U. and Kao, O.
(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, P., Scheinert, D., Wittkopp, T., Thamsen, L. and Kao, O.
(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, L., Scheinert, D., Will, J., Bader, J. and Kao, O.
(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, B. J. J., Lickefett, W. S., Nitschke, J., Paul, S., Geldenhuys, M. K., Scheinert, D., Gontarska, K. and Thamsen, L.
(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)
Bermbach, D., Bader, J., Hasenburg, J., Pfandzelter, T. and Thamsen, L.
(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)
Habenicht, D., Kreutz, K., Becker, S., Bader, J., Thamsen, L. and Kao, O.
(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, C., Behnke, I., Thamsen, L. and Kao, O.
(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, I., Wiesner, P., Danicki, R. and Thamsen, L.
(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, L., Beilharz, J., Polze, A. and Kao, O.
(2022)
The Methods of Cloud Computing.
Technical Report.
Technische Universität Berlin DepositOnce.
(doi: 10.14279/depositonce-15190).
2021
Wiesner, P., Behnke, I., Scheinert, D., Gontarska, K. and Thamsen, L.
(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)
Bader, J., Thamsen, L., Kulagina, S., Will, J., Meyerhenke, H. and Kao, O.
(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, D., Alamgiralem, A., Bader, J., Will, J., Wittkopp, T. and Thamsen, L.
(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, J., Arslan, O., Bader, J., Scheinert, D. and Thamsen, L.
(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, M. K., Will, J., Pfister, B. J.J., Haug, M., Scharmann, A. and Thamsen, L.
(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, K., Geldenhuys, M., Scheinert, D., Wiesner, P., Polze, A. and Thamsen, L.
(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, M., Lorenz, F. and Thamsen, L.
(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, S., Schmidt, F., Thamsen, L., Ferrer, A. J. and Kao, O.
(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, B., Chandra, A., Krintz, C., Gokhale, A., Slominski, A., Thamsen, L., Cavalcante, E., Guo, T., Brandic, I. and Wolski, R.
(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, D., Zhu, H., Thamsen, L., Geldenhuys, M. K., Will, J., Acker, A. and Kao, O.
(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, J., Thamsen, L., Scheinert, D., Bader, J. and Kao, O.
(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, L., Beilharz, J., Tran, V. T., Nedelkoski, S. and Kao, O.
(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, D., Thamsen, L., Zhu, H., Will, J., Acker, A., Wittkopp, T. and Kao, O.
(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, D. K., Popescu, F., Sommer, H., Thamsen, L. and Thamsen, P. U.
(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, K., Wrazen, W., Beilharz, J., Schmid, R., Thamsen, L. and Polze, A.
(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, R., Haug, M., Behnke, I., Mädje, L. and Thamsen, L.
(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, J., Wiesner, P., Boockmeyer, A., Brokhausen, F., Behnke, I., Schmid, R., Pirl, L. and Thamsen, L.
(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, J., Wiesner, P., Boockmeyer, A., Friedenberger, D., Brokhausen, F., Pirl, L., Behnke, I., Polze, A. and Thamsen, L.
(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, F., Brune, J. J., Keutel, N. L., Behnke, I. and Thamsen, L.
(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, S., Brokhausen, F., Wiesner, P., Thamsen, L. and Cominola, A.
(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, A. J., Becker, S., Schmidt, F., Thamsen, L. and Kao, O.
(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, D., Acker, A., Thamsen, L., Geldenhuys, M. K. and Kao, O.
(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)
Wiesner, P. and Thamsen, L.
(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)
2020
Geldenhuys, M., Thamsen, L. and Kao, O.
(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, F., Geldenhuys, M., Sommer, H., Jakobs, F., Lüring, C., Skwarek, V., Behnke, I. and Thamsen, L.
(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, J., Bader, J. and Thamsen, L.
(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, I., Pirl, L., Thamsen, L., Danicki, R., Polze, A. and Kao, O.
(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, F., Thamsen, L., Wilke, A., Behnke, I., Waldmüller-Littke, J., Komarov, I., Kao, O. and Paeschke, M.
(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)
2018
Thamsen, L., Renner, T., Verbitskiy, I. and Kao, O.
(2018)
Adaptive Resource Management for Distributed Data Analytics.
In: Grandinetti, L., Mirtaheri, S. L., Shahbazian, R., Sterling, T. and Voevodin, V. (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, L., Rabier, B., Schmidt, F., Renner, T. and Kao, O.
(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)
2016
Thamsen, L., Steinert, B. and Hirschfeld, R.
(2016)
Preserving Access to Previous System States in the Lively Kernel.
In: Plattner, H., Meinel, C. and Leifer, L. (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)
This list was generated on Mon Jun 5 01:20:53 2023 BST.