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Journal [12]
2021
Towards a Staging Environment for the
Internet of Things [13]
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
Download Bibtex entry
[14]
2020
Multi-Source Distributed System Data for
AI-powered Analytics [15]
Nedelkoski, Sasho and Bogatinovski, Jasmin and
Mandapati, Ajay, and Cardoso, Jorge and Kao, Odej
ESOCC 2020: European Conference On
Service-Oriented And Cloud Computing. Springer, To appear. 2020
Link to code
repository Download Bibtex entry
[16]
Mary, Hugo, and Hugo*: Learning to
Schedule Distributed Data-Parallel Processing Jobs on Shared Clusters
[17]
Lauritz Thamsen, Jossekin Beilharz, Vinh Thuy
Tran, Sasho Nedelkoski, and Odej Kao
Concurrency and Computation: Practice and
Experience. Wiley, e5823. 2020
Link to publication [18] Download Bibtex entry [19]
Fingerprinting Analog IoT Sensors for
Secret-Free Authentication [20]
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 [21]
Download Bibtex entry [22]
MicroRCA: Root Cause Localization of
Performance Issues in Microservices [23]
Wu, Li and Tordsson, Johan and Elmroth, Erik and
Kao, Odej
NOMS 2020-2020 IEEE/IFIP Network Operations
and Management Symposium, 1–9. 2020
Link to publication [24]
Download Bibtex entry [25]
Learning more expressive joint
distributions in multimodal variational methods [26]
S. Nedelkoski and M. Bogojevski and O. Kao
2020 International Conference on Machine
Learning, Optimization, and Data Science, LOD 2020, To appear.
2020
Download Bibtex entry
[27]
Self-Supervised Log parsing [28]
S. Nedelkoski and J. Bogatinovski and A. Acker
and J. Cardoso and O. Kao
European Conference on Machine Learning and
Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD
2020, To appear. 2020
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[29]
Bitflow: An In Situ Stream Processing
Framework [30]
Gulenko, Anton and Acker, Alexander and Schmidt,
Florian and Becker, Soeren and Kao, Odej
International Conference on Autonomic
Computing and Self-Organizing Systems, To appear. 2020
Link to code
repository Download Bibtex entry
[31]
Sensor Artificial Intelligence and its
Application to Space Systems–A White Paper [32]
Börner, Anko and Hübers, Heinz-Wilhelm and Kao,
Odej and Schmidt, Florian and Becker, Sören and Denzler, Joachim and
Matolin, Daniel and Haber, David and Lucia, Sergio and Samek, Wojciech
and others
arXiv preprint arXiv:2006.08368
2020
Link to publication [33] Download Bibtex entry [34]
AI-Governance and Levels of Automation
for AIOps-supported system administration [35]
Gulenko, Anton and Acker, Alexander and Kao, Odej
and Liu, Feng
The 29th International Conference on Computer
Communications and Networks, To appear. 2020
Download Bibtex entry
[36]
Superiority of Simplicity: A Lightweight
Model for Network Device Workload Prediction [37]
Acker, Alexander and Wittkopp, Thorsten and
Nedelkoski, Sasho and Bogatinovski, Jasmin and Kao, Odej
15th Conference on Computer Science and
Information Systems, To appear. 2020
Link to publication [38]
Link to code
repository Download Bibtex entry
[39]
Self-Attentive Classification-Based
Anomaly Detection in Unstructured Logs [40]
Nedelkoski, Sasho and Bogatinovski, Jasmin and
Acker, Alexander and Cardoso, Jorge and Kao, Odej
ICDM 2020: 20th IEEE International Conference
on Data Mining, To appear. 2020
Download Bibtex entry
[41]
Interrupting Real-Time IoT Tasks: How
Bad Can It Be to Connect Your Critical Embedded System to the
Internet? [42]
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
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[43]
MicroRAS: Automatic Recovery in the
Absence of Historical Failure Data for Microservice Systems [44]
Li Wu, Johan Tordsson, Alexander Acker and Odej
Kao
UCC 2020: 13th IEEE/ACM International
Conference on Utility and Cloud Computing, To appear. 2020
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[45]
Decentralized Federated Learning
Preserves Model and Data Privacy [46]
Thorsten Wittkopp and Alexander Acker
18th International Conference on
Service-Oriented Computing, To appear. 2020
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[47]
TELESTO: A Graph Neural Network Model
for Anomaly Classification in Cloud Services [48]
Dominik Scheinert and Alexander Acker
18th International Conference on
Service-Oriented Computing, To appear. 2020
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[49]
Towards Collaborative Optimization of
Cluster Configurations for Distributed Dataflow Jobs [50]
Will, Jonathan and Bader, Jonathan and Thamsen,
Lauritz
2020 IEEE International Conference on Big
Data. IEEE, 2851–2856. 2020
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[51]
Performance Diagnosis in Cloud
Microservices using Deep Learning [52]
Wu, Li and Bogatinovski, Jasmin and Nedelkoski,
Sasho and Tordsson, Johan and Kao, Odej
18th International Conference on
Service-Oriented Computing, To appear. 2020
Link to publication [53]
Download Bibtex entry [54]
A Scalable and Dependable Data Analytics
Platform for Water Infrastructure Monitoring [55]
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
code repository Download Bibtex
entry [56]
Chiron: Optimizing Fault Tolerance in
QoS-aware Distributed Stream Processing Jobs [57]
Geldenhuys, Morgan and Thamsen, Lauritz and Kao,
Odej
2020 IEEE International Conference on Big
Data, To appear. 2020
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[58]
Optimizing Convergence for Iterative
Learning of ARIMA for Stationary Time Series [59]
Styp-Rekowski, Kevin and Schmidt, Florian and
Kao, Odej
2020 IEEE International Conference on Big
Data, To appear. 2020
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[60]
Autoencoder-based Condition Monitoring
and Anomaly Detection Method for Rotating Machines [61]
Ahmad, Sabtain and Styp-Rekowski, Kevin and
Nedelkoski, Sasho and Kao, Odej
2020 IEEE International Conference on Big
Data, To appear. 2020
Download Bibtex entry
[62]
2019
Héctor: A Framework for Testing IoT
Applications Across Heterogeneous Edge and Cloud Testbeds [63]
Behnke, Ilja and Thamsen, Lauritz and Kao,
Odej
12th IEEE/ACM International Conference on
Utility and Cloud Computing Companion. ACM, 15–20. 2019
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[64]
Effectively Testing System
Configurations of Critical IoT Analytics Pipelines [65]
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
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[66]
Unsupervised Anomaly Alerting for
IoT-Gateway Monitoring using Adaptive Thresholds and Half-Space Trees
[67]
Wetzig, René and Gulenko, Anton and Schmidt,
Florian
2019 Sixth International Conference on
Internet of Things: Systems, Management and Security (IOTSMS).
IEEE, 161–168. 2019
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[68]
Graph-based Feature Selection Filter
Utilizing Maximal Cliques [69]
Schroeder, Daniel Thilo and Styp-Rekowski, Kevin
and Schmidt, Florian and Acker, Alexander and Kao, Odej
2019 Sixth International Conference on Social
Networks Analysis, Management and Security (SNAMS). IEEE,
297–302. 2019
Link to publication [70]
Download Bibtex entry [71]
Hugo: A Cluster Scheduler that
Efficiently Learns to Select Complementary Data-Parallel Jobs
[72]
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, To appear. 2019
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[73]
Case Study: Visualizing Computer System
Programming Concepts for Education [74]
Schmidt, Florian and Ohlemacher, Johannes and
Hennig, Vincent and Kao, Odej and Nordholz, Jan
SEFI 47th Annual Conference Proceedings -
Complexity is the new normality. SEFI, 970-979. 2019
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[75]
Multilayer Active Learning for Efficient
Learning and Resource Usage in Distributed IoT Architectures [76]
Nedelkoski, Sasho and Thamsen, Lauritz and
Verbitskiy, Ilya and Kao, Odej
2019 IEEE International Conference on Edge
Computing (EDGE). IEEE, 8-12. 2019
Download Bibtex entry
[77]
Anomaly Detection from System Tracing
Data Using Multimodal Deep Learning [78]
S. Nedelkoski and J. Cardoso and O. Kao
2019 IEEE 12th International Conference on
Cloud Computing (CLOUD), 179-186. 2019
Download Bibtex entry
[79]
Digital Teaching and Learning Projects
in Engineering Education at Technische Universität Berlin [80]
Schmidt, Florian and Schmitt, Franz-Josef and
Böger, Laura and Wilhelm-Weidner, Arno and Torjus, Nicole
2019 ASEE Annual Conference &
Exposition. American Society for Engineering Education. 2019
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[81]
Anomaly Detection and Classification
using Distributed Tracing and Deep Learning [82]
S. Nedelkoski and J. Cardoso and O. Kao
2019 19th IEEE/ACM International Symposium on
Cluster, Cloud and Grid Computing (CCGRID). IEEE/ACM, 241-250.
2019
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[83]
Silent Consensus: Probabilistic Packet
Sampling for Lightweight Network Monitoring [84]
Wallschläger, Marcel and Acker, Alexander and
Kao, Odej
Computational Science and Its Applications
– ICCSA 2019. Springer International Publishing,
241–256. 2019
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[85]
Anomaly Detection and Levels of
Automation for AI-Supported System Administration [86]
Gulenko, Anton and Kao, Odej and Schmidt,
Florian
Annual International Symposium on Information
Management and Big Data, 1–7. 2019
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[87]
2018
Unsupervised Anomaly Event Detection for
VNF Service Monitoring using Multivariate Online Arima [88]
Schmidt, Florian and Suri-Payer, Florian and
Gulenko, Anton and Wallschläger, Marcel and Acker, Alexander and Kao,
Odej
2018 IEEE International Conference on Cloud
Computing Technology and Science (CloudCom). IEEE. 2018
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[89]
Online Density Grid Pattern Analysis to
Classify Anomalies in Cloud and NFV Systems [90]
Acker, Alexander and Schmidt, Florian and
Gulenko, Anton and Kao, Odej
2018 IEEE International Conference on Cloud
Computing Technology and Science (CloudCom). IEEE. 2018
Download Bibtex entry
[91]
Unsupervised Anomaly Event Detection for
Cloud Monitoring using Online Arima [92]
Schmidt, Florian and Suri-Payer, Florian and
Gulenko, Anton and Wallschläger, Marcel and Acker, Alexander and Kao,
Odej
2018 IEEE/ACM International Conference on
Utility and Cloud Computing (UCC). IEEE. 2018
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[93]
CoBell: Runtime Prediction for
Distributed Dataflow Jobs in Shared Clusters [94]
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
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[95]
Scheduling Stream Processing Tasks on
Geo-Distributed Heterogeneous Resources [96]
Janßen, Gerrit and Verbitskiy, Ilya and Renner,
Thomas and Thamsen, Lauritz
2018 IEEE International Conference on Big
Data. IEEE, 5159–5164. 2018
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[97]
A Practical Implementation of In-Band
Network Telemetry in Open vSwitch [98]
Gulenko, Anton and Wallschläger, Marcel and Kao,
Odej
2018 7th IEEE International Conference on
Cloud Networking (CloudNet). IEEE. 2018
Download Bibtex entry
[99]
Anomaly Detection for Black Box Services
in Edge Clouds Using Packet Size Distribution [100]
Wallschläger, Marcel and Gulenko, Anton and
Schmidt, Florian and Acker, Alexander and Kao, Odej
2018 7th IEEE International Conference on
Cloud Networking (CloudNet). IEEE. 2018
Download Bibtex entry
[101]
Learning Efficient Co-locations for
Scheduling Distributed Dataflows in Shared Clusters [102]
Thamsen, Lauritz and Verbitskiy, Ilya and Rabier,
Benjamin and Kao, Odej
Services Transactions on Big Data.
Services Society, 1–15. 2018
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[103]
Endolith: A Blockchain-based Framework
to Enhance Data Retention in Cloud Storages [104]
Renner, Thomas and Müller, Johannes and Kao,
Odej
Proceedings of the 26th Euromicro
International Conference on Parallel, Distributed and Network-based
Processing. Euromicro, 627–634. 2018
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[105]
Adaptive Resource Management for
Distributed Data Analytics [106]
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
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[107]
ViMEC: Interactive Application for
Micro-Cluster Visualizations [108]
Schmidt, Florian and Ehrenfeld, Yannick
EuroVis 2018 - Posters. The Eurographics
Association, 29-31. 2018
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[109]
Detecting Anomalous Behavior of
Black-Box Services Modeled with Distance-Based Online Clustering
[110]
Gulenko, Anton and Schmidt, Florian and Acker,
Alexander and Wallschlager, Marcel and Kao, Odej and Liu, Feng
2018 IEEE 11th International Conference on
Cloud Computing (CLOUD), 912–915. 2018
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[111]
IFTM-Unsupervised Anomaly Detection for
Virtualized Network Function Services [112]
Schmidt, Florian and Gulenko, Anton and
Wallschläger, Marcel and Acker, Alexander and Hennig, Vincent and
Liu, Feng and Kao, Odej
2018 IEEE International Conference on Web
Services (ICWS), 187–194. 2018
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[113]
Decision Tree Visualization for
High-dimensional Numerical Data [114]
Szücs, Dora and Schmidt, Florian
2018 IEEE International Conference on Social
Networks Analysis, Management and Security (SNAMS) 2018
Download Bibtex entry
[115]
Designing a Planetary-Scale IMAP Service
with Conflict-free Replicated Data Types [116]
Jungnickel, Tim and Oldenburg, Lennart and Loibl,
Matthias
International Conference on Principles of
Distributed Systems. LIPIcs, 23:1–23:17. 2018
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[117]
2017
SMiPE: Estimating the Progress of
Recurring Iterative Distributed Dataflows [118]
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
Download Bibtex entry
[119]
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