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Author [1]
Year [2]
Journal [3]
A
Implicit Parallelism Through Deep
Language Embedding [4]
Alexandrov, Alexander and Kunft, Andreas and
Katsifodimos, Asterios and Schüler, Felix and Thamsen, Lauritz and
Kao, Odej and Herb, Tobias and Markl, Volker
Proceedings of the 2015 ACM SIGMOD
International Conference on Management of Data. ACM, 47–61.
2015
Link to publication [5] Download Bibtex entry [6]
B
Héctor: A Framework for Testing IoT
Applications Across Heterogeneous Edge and Cloud Testbeds [7]
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 [8] Download Bibtex entry [9]
Interrupting Real-Time IoT Tasks: How
Bad Can It Be to Connect Your Critical Embedded System to the
Internet? [10]
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, To appear. 2020
Link to publication [11] Download Bibtex entry [12]
Towards a Staging Environment for the
Internet of Things [13]
Beilharz, Jossekin and Wiesner, Philipp and
Boockmeyer, Arne and Brokhausen, Florian and Behnke, Ilja and Schmid,
Robert and Pirl, Lukas and Thamsen, Lauritz
2021 IEEE International Conference on
Pervasive Computing and Communications Workshops, To appear. 2021
Link to publication [14] Download Bibtex entry [15]
F
Lively Groups: Shared Behavior in a
World of Objects without Classes or Prototypes [16]
Felgentreff, Tim and Lincke, Jens and Hirschfeld,
Robert and Thamsen, Lauritz
In Proceedings of the Future Programming
Workshop (FPW) 2015, co-located with the Conference on Object-oriented
Programming, Systems, Languages, and Applications (OOPSLA). ACM,
15–22. 2015
Link to publication [17] Download Bibtex entry [18]
PIERES: A Playground for Network
Interrupt Experiments on Real-Time Embedded Systems in the IoT
[19]
Franz Bender, Jan Jonas Brune, Nick Lauritz
Keutel, Ilja Behnke and Lauritz Thamsen
2021 ACM/SPEC International Conference on
Performance Engineering Companion, To appear. 2021
Link to publication [20] Download Bibtex entry [21]
G
Effectively Testing System
Configurations of Critical IoT Analytics Pipelines [22]
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 [23] Download Bibtex entry [24]
Chiron: Optimizing Fault Tolerance in
QoS-aware Distributed Stream Processing Jobs [25]
Geldenhuys, Morgan and Thamsen, Lauritz and Kao,
Odej
2020 IEEE International Conference on Big
Data, 434–440. 2020
Link to publication [26] Download Bibtex entry [27]
H
Aura: A Flexible Dataflow Engine for
Scalable Data Processing [28]
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 [29] Download Bibtex entry [30]
J
Scheduling Stream Processing Tasks on
Geo-Distributed Heterogeneous Resources [31]
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 [32] Download Bibtex entry [33]
K
SMiPE: Estimating the Progress of
Recurring Iterative Distributed Dataflows [34]
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 [35] Download Bibtex entry [36]
L
Scheduling Recurring Distributed
Dataflow Jobs Based on Resource Utilization and Interference [37]
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 [38] Download Bibtex entry [39]
Mary, Hugo, and Hugo*: Learning to
Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters
[40]
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy
Tran, Sasho Nedelkoski, and Odej Kao
Concurrency and Computation: Practice and
Experience. Wiley, e5823. 2020
Link to publication [41] Download Bibtex entry [42]
A Scalable and Dependable Data Analytics
Platform for Water Infrastructure Monitoring [43]
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 [44] Download Bibtex entry [45]
Fingerprinting Analog IoT Sensors for
Secret-Free Authentication [46]
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 [47] Download Bibtex entry [48]
N
Multilayer Active Learning for Efficient
Learning and Resource Usage in Distributed IoT Architectures [49]
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 [50] Download Bibtex entry [51]
O
Exploratory Authoring of Interactive
Content in a Live Environment (Technical Report) [52]
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 [53] Download Bibtex entry [54]
R
Network-Aware Resource Management for
Scalable Data Analytics Frameworks [55]
Renner, Thomas and Thamsen, Lauritz and Kao,
Odej
Proceedings of the 1st First Workshop on
Data-Centric Infrastructure for Big Data Science (DIBS), co-located
with the 2015 IEEE International Conference on BigData. IEEE,
2793–2800. 2015
Link to publication [56] Download Bibtex entry [57]
CoLoc: Distributed Data and Container
Colocation for Data-Intensive Applications [58]
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 [59] Download Bibtex entry [60]
Adaptive Resource Management for
Distributed Data Analytics based on Container-level Cluster Monitoring
[61]
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 [62] Download Bibtex entry [63]
Addressing Hadoop's Small File Problem
With an Appendable Archive File Format [64]
Renner, Thomas and Müller, Johannes and Thamsen,
Lauritz and Kao, Odej
Proceedings of the Computing Frontiers
Conference. ACM, 367–372. 2017
Link to publication [65] Download Bibtex entry [66]
S
Learning Dependencies in Distributed
Cloud Applications to Identify and Localize Anomalies [67]
Scheinert, Dominik and Acker, Alexander and
Thamsen, Lauritz and Geldenhuys, Morgan K. and Kao, Odej
43rd International Conference on Software
Engineering, To appear. 2021
Link to publication [68] Download Bibtex entry [69]
Object Versioning to Support Recovery
Needs: Using Proxies to Preserve Previous Development States in Lively
[70]
Steinert, Bastian and Thamsen, Lauritz and
Felgentreff, Tim and Hirschfeld, Robert
Proceedings of the 10th ACM Symposium on
Dynamic Languages. ACM, 113–124. 2014
Link to publication [71] Download Bibtex entry [72]
T
Preserving Access to Previous System
States in the Lively Kernel [73]
Thamsen, Lauritz and Steinert, Bastian and
Hirschfeld, Robert
Design Thinking Research. Springer,
235–264. 2015
Link to publication [74] Download Bibtex entry [75]
Continuously Improving the Resource
Utilization of Iterative Parallel Dataflows [76]
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 [77] Download Bibtex entry [78]
Selecting Resources for Distributed
Dataflow Systems According to Runtime Targets [79]
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 [80] Download Bibtex entry [81]
Visually Programming Dataflows for
Distributed Data Analytics [82]
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 [83] Download Bibtex entry [84]
Ellis: Dynamically Scaling Distributed
Dataflows to Meet Runtime Targets [85]
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 [86] Download Bibtex entry [87]
Adaptive Resource Management for
Distributed Data Analytics [88]
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 [89] Download Bibtex entry [90]
Learning Efficient Co-locations for
Scheduling Distributed Dataflows in Shared Clusters [91]
Thamsen, Lauritz and Verbitskiy, Ilya and Rabier,
Benjamin and Kao, Odej
Services Transactions on Big Data.
Services Society, 1–15. 2018
Link to publication [92] Download Bibtex entry [93]
Hugo: A Cluster Scheduler that
Efficiently Learns to Select Complementary Data-Parallel Jobs
[94]
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 [95] Download Bibtex entry [96]
Orca: A Single-Language Web Framework
for Collaborative Development [97]
Thamsen, Lauritz and Gulenko, Anton and
Perscheid, Michael and Krahn, Robert and Hirschfeld, Robert and
Thomas, David A.
Proceedings of the 2012 10th International
Conference on Creating, Connecting and Collaborating Through
Computing. IEEE Computer Society, 45–52. 2012
Link to publication [98] Download Bibtex entry [99]
V
When to Use a Distributed Dataflow
Engine: Evaluating the Performance of Apache Flink [100]
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 [101] Download Bibtex entry [102]
CoBell: Runtime Prediction for
Distributed Dataflow Jobs in Shared Clusters [103]
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 [104] Download Bibtex entry [105]
W
LEAF: Simulating Large Energy-Aware Fog
Computing Environments [106]
Wiesner, Philipp and Thamsen, Lauritz
2021 5th IEEE International Conference on Fog
and Edge Computing (ICFEC). IEEE, To appear. 2021
Link to publication [107] Download Bibtex entry [108]
Towards Collaborative Optimization of
Cluster Configurations for Distributed Dataflow Jobs [109]
Will, Jonathan and Bader, Jonathan and Thamsen,
Lauritz
2020 IEEE International Conference on Big
Data. IEEE, 2851–2856. 2020
Link to publication [110] Download Bibtex entry [111]
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