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2022
A Priority-Aware Multiqueue NIC Design
for Real-Time IoT Devices [6]
Ilja Behnke, Philipp Wiesner, Robert Danicki, and
Lauritz Thamsen
The 37th ACM/SIGAPP Symposium on Applied
Computing (SAC '22). ACM, To appear. 2022
Link to publication [7] Download Bibtex entry [8]
2021
On the Potential of Execution Traces for
Batch Processing Workload Optimization in Public Clouds [9]
Scheinert, Dominik and Alamgiralem, Alireza and
Bader, Jonathan and Will, Jonathan and Wittkopp, Thorsten and Thamsen,
Lauritz
2021 IEEE International Conference on Big
Data. IEEE, to appear. 2021
Link to publication [10] Download Bibtex entry [11]
Tarema: Adaptive Resource Allocation for
Scalable Scientific Workflows in Heterogeneous Clusters [12]
Bader, Jonathan and Thamsen, Lauritz and
Kulagina, Svetlana and Will, Jonathan and Meyerhenke, Henning and Kao,
Odej
2021 IEEE International Conference on Big
Data. IEEE, to appear. 2021
Link to publication [13] Download Bibtex entry [14]
AuctionWhisk: Using an Auction-Inspired
Approach for Function Placement in Serverless Fog Platforms [15]
Bermbach, David and Bader, Jonathan and
Hasenburg, Jonathan and Pfandzelter, Tobias and Thamsen, Lauritz
Software: Practice and Experience.
Wiley, to appear. 2021
Link to publication [16] Download Bibtex entry [17]
Let's Wait Awhile: How Temporal Workload
Shifting Can Reduce Carbon Emissions in the Cloud [18]
Wiesner, Philipp and Behnke, Ilja and Scheinert,
Dominik and Gontarska, Kordian and Thamsen, Lauritz
22nd International Middleware Conference
(Middleware). ACM, to appear. 2021
Link to publication [19] Download Bibtex entry [20]
Enel: Context-Aware Dynamic Scaling of
Distributed Dataflow Jobs using Graph Propagation [21]
Scheinert, Dominik and Zhu, Houkun and Thamsen,
Lauritz and Geldenhuys, Morgan K. and Will, Jonathan and Acker,
Alexander and Kao, Odej
40th IEEE International Performance Computing
and Communications Conference. IEEE, to appear. 2021
Link to publication [22] Download Bibtex entry [23]
LOS: Local-Optimistic Scheduling of
Periodic Model Training For Anomaly Detection on Sensor Data Streams
in Meshed Edge Networks [24]
Soeren Becker and Florian Schmidt and Lauritz
Thamsen and Ana Juan Ferrer and Odej Kao
IEEE International Conference on Autonomic
Computing and Self-Organizing Systems. IEEE, to appear. 2021
Link to publication [25] Download Bibtex entry [26]
Bellamy: Reusing Performance Models for
Distributed Dataflow Jobs Across Contexts [27]
Scheinert, Dominik and Thamsen, Lauritz and Zhu,
Houkun and Will, Jonathan and Acker, Alexander and Wittkopp, Thorsten
and Kao, Odej
2021 IEEE International Conference on Cluster
Computing (CLUSTER). IEEE, 261-270. 2021
Link to publication [28] Download Bibtex entry [29]
Predicting Medical Interventions from
Vital Parameters: Towards a Decision Support System for Remote Patient
Monitoring [30]
Gontarska, Kordian and Wrazen, Weronika and
Beilharz, Jossekin and Schmid, Robert and Thamsen, Lauritz and Polze,
Andreas
19th Conference on Artificial Intelligence in
Medicine (AIME'21), 293-297. 2021
Link to publication [31] Download Bibtex entry [32]
LEAF: Simulating Large Energy-Aware Fog
Computing Environments [33]
Wiesner, Philipp and Thamsen, Lauritz
2021 5th IEEE International Conference on Fog
and Edge Computing (ICFEC). IEEE, 29-36. 2021
Link to publication [34] Download Bibtex entry [35]
Towards a Cognitive Compute Continuum:
An Architecture for Ad-Hoc Self-Managed Swarms [36]
Ferrer, Ana Juan and Becker, Soeren and Schmidt,
Florian and Thamsen, Lauritz and Kao, Odej
Workshop Proceedings of the 21st IEEE/ACM
international Symposium on Cluster, Cloud and Internet Computing.
IEEE, To appear. 2021
Link to publication [37] Download Bibtex entry [38]
Learning Dependencies in Distributed
Cloud Applications to Identify and Localize Anomalies [39]
Scheinert, Dominik and Acker, Alexander and
Thamsen, Lauritz and Geldenhuys, Morgan K. and Kao, Odej
Workshop Proceedings of the 43th International
Conference on Software Engineering, 7-12. 2021
Link to publication [40] Download Bibtex entry [41]
PIERES: A Playground for Network
Interrupt Experiments on Real-Time Embedded Systems in the IoT
[42]
Franz Bender, Jan Jonas Brune, Nick Lauritz
Keutel, Ilja Behnke and Lauritz Thamsen
2021 ACM/SPEC International Conference on
Performance Engineering Companion. ACM, 81-84. 2021
Link to publication [43] Download Bibtex entry [44]
Detecting and Mitigating Network Packet
Overloads on Real-Time Devices in IoT Systems [45]
Danicki, Robert and Haug, Martin and Behnke, Ilja
and Mädje, Laurenz and Thamsen, Lauritz
4th International Workshop on Edge Systems,
Analytics and Networking (EdgeSys'21), 25-30. 2021
Link to publication [46] Download Bibtex entry [47]
Towards a Staging Environment for the
Internet of Things [48]
Jossekin Beilharz, Philipp Wiesner, Arne
Boockmeyer, Florian Brokhausen, Ilja Behnke, Robert Schmid, Lukas
Pirl, and Lauritz Thamsen
2021 IEEE International Conference on
Pervasive Computing and Communications Workshops, To appear. 2021
Link to publication [49] Download Bibtex entry [50]
Training Data Reduction for Performance
Models of Data Analytics Jobs in the Cloud [51]
Will, Jonathan and Arslan, Onur and Bader,
Jonathan and Scheinert, Dominik and Thamsen, Lauritz
International Conference on Big Data.
IEEE, to appear. 2021
Link to publication [52] Download Bibtex entry [53]
Control Optimization Through
Prediction-Based Wastewater Management [54]
Tilcher, David Konstantin and Popescu, Florin and
Sommer, Harald and Thamsen, Lauritz and Thamsen, Paul Uwe
Proceedings of the ASME 2021 Fluids
Engineering Division Summer Meeting. ASME, 9. 2021
Link to publication [55] Download Bibtex entry [56]
Assessing the Resilience of Water
Distribution Networks Under Different Sensor Network Architectures and
Data Sampling Frequencies [57]
Siling Chen, Florian Brokhausen, Philipp Wiesner,
Lauritz Thamsen, and Andrea Cominola
Proceedings of the 2nd International Symposium
on Water System Operations (ISWSO). IAHR, 1-2. 2021
Link to publication [58] Download Bibtex entry [59]
On the Future of Cloud Engineering
[60]
David Bermbach, Abhishek Chandra, Chandra Krintz,
Aniruddha Gokhale, Aleksander Slominski, Lauritz Thamsen, Everton
Cavalcante, Tian Guo, Ivona Brandic, and Rich Wolski
Proceedings of the 9th IEEE International
Conference on Cloud Engineering (IC2E). IEEE, 264-275. 2021
Download Bibtex entry [61]
Evaluation of Load Prediction Techniques
for Distributed Stream Processing [62]
Gontarska, Kordian and Geldenhuys, Morgan and
Scheinert, Dominik and Wiesner, Philipp and Polze, Andreas and
Thamsen, Lauritz
International Conference on Cloud
Engineering. IEEE, 91-98. 2021
Link to publication [63] Download Bibtex entry [64]
Rafiki: Task-level Capacity Planning in
Distributed Stream Processing Systems [65]
Pfister, Benjamin JJ and Lickefett, Wolf S and
Nitschke, Jan and Paul, Sumit and Geldenhuys, Morgan K and Scheinert,
Dominik and Gontarska, Kordian and Thamsen, Lauritz
International European Conference on Parallel
and Distributed Computing. Springer, to appear. 2021
Link to publication [66] Download Bibtex entry [67]
Dependable IoT Data Stream Processing
for Monitoring and Control of Urban Infrastructures [68]
Geldenhuys, Morgan K. and Will, Jonathan and
Pfister, Benjamin and Haug, Martin and Scharmann, Alexander and
Thamsen, Lauritz
IEEE International Conference on Cloud
Engineering. IEEE, 244-250. 2021
Download Bibtex entry [69]
GRAL: Localization of Floating Wireless
Sensors in Pipe Networks [70]
Martin Haug, Felix Lorenz, and Lauritz
Thamsen
Proceedings of the 9th IEEE International
Conference on Cloud Engineering (IC2E). IEEE, 251-257. 2021
Download Bibtex entry [71]
C3O: Collaborative Cluster Configuration
Optimization for Distributed Data Processing in Public Clouds
[72]
Will, Jonathan and Thamsen, Lauritz and
Scheinert, Dominik and Bader, Jonathan and Kao, Odej
International Conference on Cloud
Engineering. IEEE, 43-52. 2021
Link to publication [73] Download Bibtex entry [74]
2020
A Scalable and Dependable Data Analytics
Platform for Water Infrastructure Monitoring [75]
Lorenz, Felix and Geldenhuys, Morgan and Sommer,
Harald and Jakobs, Frauke and Lüring, Carsten and Skwarek, Volker and
Behnke, Ilja and Thamsen, Lauritz
2020 IEEE International Conference on Big
Data. IEEE, 3488–3493. 2020
Link to publication [76] Download Bibtex entry [77]
Chiron: Optimizing Fault Tolerance in
QoS-aware Distributed Stream Processing Jobs [78]
Geldenhuys, Morgan and Thamsen, Lauritz and Kao,
Odej
2020 IEEE International Conference on Big
Data, 434–440. 2020
Link to publication [79] Download Bibtex entry [80]
Towards Collaborative Optimization of
Cluster Configurations for Distributed Dataflow Jobs [81]
Will, Jonathan and Bader, Jonathan and Thamsen,
Lauritz
2020 IEEE International Conference on Big
Data. IEEE, 2851–2856. 2020
Link to publication [82] Download Bibtex entry [83]
Interrupting Real-Time IoT Tasks: How
Bad Can It Be to Connect Your Critical Embedded System to the
Internet? [84]
Behnke, Ilja and Pirl, Lukas and Thamsen, Lauritz
and Danicki, Robert and Polze, Andreas and Kao, Odej
IPCCC 2020: 39th International Performance
Computing and Communications Conference, 1-6. 2020
Link to publication [85] Download Bibtex entry [86]
Fingerprinting Analog IoT Sensors for
Secret-Free Authentication [87]
Lorenz, Felix and Thamsen, Lauritz and Wilke,
Andreas and Behnke, Ilja and Waldmüller-Littke, Jens and Komarov,
Ilya and Kao, Odej and Paeschke, Manfred
2020 29th International Conference on Computer
Communications and Networks (ICCCN). IEEE, 1–6. 2020
Link to publication [88] Download Bibtex entry [89]
Mary, Hugo, and Hugo*: Learning to
Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters
[90]
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy
Tran, Sasho Nedelkoski, and Odej Kao
Concurrency and Computation: Practice and
Experience. Wiley, e5823. 2020
Link to publication [91] Download Bibtex entry [92]
2019
Héctor: A Framework for Testing IoT
Applications Across Heterogeneous Edge and Cloud Testbeds [93]
Behnke, Ilja and Thamsen, Lauritz and Kao,
Odej
12th IEEE/ACM International Conference on
Utility and Cloud Computing Companion. ACM, 15–20. 2019
Link to publication [94] Download Bibtex entry [95]
Effectively Testing System
Configurations of Critical IoT Analytics Pipelines [96]
Geldenhuys, Morgan K. and Thamsen, Lauritz and
Gontarska, Kain Kordian and Lorenz, Felix and Kao, Odej
2019 IEEE International Conference on Big
Data. IEEE, 4157–4162. 2019
Link to publication [97] Download Bibtex entry [98]
Publications [99]
Thamsen, Lauritz and Verbitskiy, Ilya and
Nedelkoski, Sasho and Tran, Vinh Thuy and Meyer, Vinicius and Xavier,
Miguel G. and Kao, Odej and De Rose, Cesar A. F.
Euro-Par 2019: Parallel Processing
Workshops. Springer, 519–530. 2019
Link to publication [100] Download Bibtex entry [101]
Multilayer Active Learning for Efficient
Learning and Resource Usage in Distributed IoT Architectures
[102]
Nedelkoski, Sasho and Thamsen, Lauritz and
Verbitskiy, Ilya and Kao, Odej
2019 IEEE International Conference on Edge
Computing (EDGE). IEEE, 8–12. 2019
Link to publication [103] Download Bibtex entry [104]
2018
CoBell: Runtime Prediction for
Distributed Dataflow Jobs in Shared Clusters [105]
Verbitskiy, Ilya and Thamsen, Lauritz and Renner,
Thomas and Kao, Odej
2018 IEEE International Conference on Cloud
Computing Technology and Science (CloudCom). IEEE, 81–88.
2018
Link to publication [106] Download Bibtex entry [107]
Scheduling Stream Processing Tasks on
Geo-Distributed Heterogeneous Resources [108]
Janßen, Gerrit and Verbitskiy, Ilya and Renner,
Thomas and Thamsen, Lauritz
2018 IEEE International Conference on Big
Data. IEEE, 5159–5164. 2018
Link to publication [109] Download Bibtex entry [110]
Adaptive Resource Management for
Distributed Data Analytics [111]
Thamsen, Lauritz and Renner, Thomas and
Verbitskiy, Ilya and Kao, Odej
Advances in Parallel Computing – Big Data
and HPC: Ecosystem and Convergence. IOS Press, 155–170. 2018
Link to publication [112] Download Bibtex entry [113]
Learning Efficient Co-locations for
Scheduling Distributed Dataflows in Shared Clusters [114]
Thamsen, Lauritz and Verbitskiy, Ilya and Rabier,
Benjamin and Kao, Odej
Services Transactions on Big Data.
Services Society, 1–15. 2018
Link to publication [115] Download Bibtex entry [116]
2017
Ellis: Dynamically Scaling Distributed
Dataflows to Meet Runtime Targets [117]
Thamsen, Lauritz and Verbitskiy, Ilya and
Beilharz, Jossekin and Renner, Thomas and Polze, Andreas and Kao,
Odej
Proceedings of the 2017 IEEE 9th International
Conference on Cloud Computing Technology and Science. IEEE,
146–153. 2017
Link to publication [118] Download Bibtex entry [119]
SMiPE: Estimating the Progress of
Recurring Iterative Distributed Dataflows [120]
Koch, Jannis and Thamsen, Lauritz and Schmidt,
Florian and Kao, Odej
The 18th International Conference on Parallel
and Distributed Computing, Applications and Technologies. IEEE,
156–163. 2017
Link to publication [121] Download Bibtex entry [122]
Scheduling Recurring Distributed
Dataflow Jobs Based on Resource Utilization and Interference
[123]
Lauritz Thamsen, Benjamin Rabier, Florian
Schmidt, Thomas Renner, and Odej Kao
In the Proceedings of the 6th 2017 IEEE
International Congress on Big Data (BigData Congress 2017). IEEE,
145–152. 2017
Link to publication [124] Download Bibtex entry [125]
Adaptive Resource Management for
Distributed Data Analytics based on Container-level Cluster Monitoring
[126]
Thomas Renner and Lauritz Thamsen and Odej
Kao
Proceedings of the 6th International
Conference on Data Science, Technology and Applications - Volume 1:
DATA,. SciTePress, 38–47. 2017
Link to publication [127] Download Bibtex entry [128]
Addressing Hadoop's Small File Problem
With an Appendable Archive File Format [129]
Renner, Thomas and Müller, Johannes and Thamsen,
Lauritz and Kao, Odej
Proceedings of the Computing Frontiers
Conference. ACM, 367–372. 2017
Link to publication [130] Download Bibtex entry [131]
2016
CoLoc: Distributed Data and Container
Colocation for Data-Intensive Applications [132]
Renner, Thomas and Thamsen, Lauritz and Kao,
Odej
In the Proceedings of the 2016 IEEE
International Conference on Big Data (BigData). IEEE,
3008–3015. 2016
Link to publication [133] Download Bibtex entry [134]
Selecting Resources for Distributed
Dataflow Systems According to Runtime Targets [135]
Thamsen, Lauritz and Verbitskiy, Ilya and
Schmidt, Florian and Renner, Thomas and Kao, Odej
In the Proceedings of the 35th IEEE
International Performance Computing and Communications Conference
(IPCCC). IEEE, 1–8. 2016
Link to publication [136] Download Bibtex entry [137]
Visually Programming Dataflows for
Distributed Data Analytics [138]
Thamsen, Lauritz and Renner, Thomas and Byfeld,
Marvin and Paeschke, Markus and Schröder, Daniel and Böhm,
Felix
In the Proceedings of the 2016 IEEE
International Conference on Big Data (BigData). IEEE,
2276–2285. 2016
Link to publication [139] Download Bibtex entry [140]
When to Use a Distributed Dataflow
Engine: Evaluating the Performance of Apache Flink [141]
Verbitskiy, Ilya and Thamsen, Lauritz and Kao,
Odej
In the Proceedings of the 2nd IEEE
International Conference on Cloud and Big Data Computing (CBDCom).
IEEE, 698–705. 2016
Link to publication [142] Download Bibtex entry [143]
Continuously Improving the Resource
Utilization of Iterative Parallel Dataflows [144]
Thamsen, Lauritz and Renner, Thomas and Kao,
Odej
In the Proceedings of the IEEE International
Conference on Distributed Computing Systems Workshops (ICDCSW).
IEEE, 1–6. 2016
Link to publication [145] Download Bibtex entry [146]
Aura: A Flexible Dataflow Engine for
Scalable Data Processing [147]
Herb, Tobias, and Thamsen, Lauritz and Renner,
Thomas and Kao, Odej
Tools for High Performance Computing 2015:
Proceedings of the 9th International Workshop on Parallel Tools for
High Performance Computing, September 2015, Dresden, Germany.
Springer, 117–126. 2016
Link to publication [148] Download Bibtex entry [149]
Exploratory Authoring of Interactive
Content in a Live Environment (Technical Report) [150]
Otto, Philipp and Pollak, Jaqueline and Werner,
Daniel and Wolff, Felix and Steinert, Bastian and Thamsen, Lauritz and
Taeumel, Marcel and Lincke, Jens and Krahn, Robert and Ingalls, Daniel
H. H. and Hirschfeld, Robert
Technical Report. Hasso Plattner
Institute. 2016
Link to publication [151] Download Bibtex entry [152]
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auritz/publications/parameter/en/font5/maxhilfe/?showp=
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