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Odej Kao
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- affiliation: TU Berlin, Eletrical Engineering and Computer Science
- affiliation: University of Paderborn, Department of Computer Science
- affiliation: TU Clausthal, Department of Computer Science
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2020 – today
- 2024
- [j19]Jonathan Bader
, Fabian Lehmann
, Lauritz Thamsen
, Ulf Leser, Odej Kao:
Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures. Future Gener. Comput. Syst. 150: 171-185 (2024) - [c232]Tamás Kiss, Amjad Ullah, Gábor Terstyánszky, Odej Kao, Sören Becker, Yiannis Verginadis, Antonis Michalas, Vlado Stankovski, Attila Kertész, Elisa Ricci, Jörn Altmann, Bernhard Egger, Francesco Tusa, József Kovács, Róbert Lovas:
Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum. AINA (5) 2024: 89-100 - [c231]Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao:
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CLUSTER 2024: 370-381 - [c230]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. DSN-S 2024: 88-95 - [c229]Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. e-Science 2024: 1-7 - [c228]Philipp Wiesner
, Ramin Khalili
, Dennis Grinwald
, Pratik Agrawal
, Lauritz Thamsen
, Odej Kao
:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. e-Energy 2024: 37-49 - [c227]Thorsten Wittkopp, Philipp Wiesner, Odej Kao:
LogRCA: Log-Based Root Cause Analysis for Distributed Services. Euro-Par (2) 2024: 362-376 - [c226]Qiao Yu, Jorge Cardoso, Odej Kao:
Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters. ICDCS 2024: 1462-1463 - [c225]Benjamin J. J. Pfister
, Dominik Scheinert
, Morgan K. Geldenhuys
, Odej Kao
:
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. ICPE 2024: 130-141 - [c224]Morgan K. Geldenhuys
, Dominik Scheinert
, Odej Kao
, Lauritz Thamsen
:
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. ICPE 2024: 142-153 - [i73]Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys, Odej Kao:
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems. CoRR abs/2403.02093 (2024) - [i72]Morgan Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization. CoRR abs/2403.02129 (2024) - [i71]Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
On Software Ageing Indicators in OpenStack. CoRR abs/2404.16446 (2024) - [i70]Thorsten Wittkopp, Philipp Wiesner, Odej Kao:
LogRCA: Log-based Root Cause Analysis for Distributed Services. CoRR abs/2405.13599 (2024) - [i69]Qiao Yu, Wengui Zhang, Min Zhou, Jialiang Yu, Zhenli Sheng, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
Investigating Memory Failure Prediction Across CPU Architectures. CoRR abs/2406.05354 (2024) - [i68]Jonathan Bader, Fabian Skalski, Fabian Lehmann, Dominik Scheinert, Jonathan Will, Lauritz Thamsen, Odej Kao:
Sizey: Memory-Efficient Execution of Scientific Workflow Tasks. CoRR abs/2407.16353 (2024) - [i67]Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. CoRR abs/2408.12290 (2024) - [i66]Philipp Wiesner, Dennis Grinwald, Philipp Weiß, Patrick Wilhelm, Ramin Khalili, Odej Kao:
Quality Time: Carbon-Aware Quality Adaptation for Energy-Intensive Services. CoRR abs/2411.19058 (2024) - 2023
- [j18]Ilja Behnke
, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao:
Towards a real-time IoT: Approaches for incoming packet processing in cyber-physical systems. J. Syst. Archit. 140: 102891 (2023) - [j17]Philipp Wiesner
, Marvin Steinke, Henrik Nickel, Yazan Kitana, Odej Kao
:
Software-in-the-loop simulation for developing and testing carbon-aware applications. Softw. Pract. Exp. 53(12): 2362-2376 (2023) - [c223]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. IEEE Big Data 2023: 182-189 - [c222]Qiao Yu, Wengui Zhang, Paolo Notaro, Soroush Haeri, Jorge Cardoso, Odej Kao:
HiMFP: Hierarchical Intelligent Memory Failure Prediction for Cloud Service Reliability. DSN 2023: 216-228 - [c221]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS 2023: 1376-1385 - [c220]Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao:
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. IC2E 2023: 202-211 - [c219]Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao:
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. ICCAD 2023: 1-9 - [c218]Jiawen Xu, Claas Grohnfeldt, Odej Kao:
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning. ICCV (Workshops) 2023: 3295-3303 - [c217]Thorsten Wittkopp, Alexander Acker, Odej Kao:
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) 2023: 1231-1239 - [c216]Jasmin Bogatinovski, Odej Kao:
Auto-Logging: AI-centred Logging Instrumentation. ICSE (NIER) 2023: 95-100 - [c215]Henrik Claßen, Jonas Thierfeldt, Julian Tochman-Szewc
, Philipp Wiesner
, Odej Kao
:
Carbon-Awareness in CI/CD. ICSOC Workshops 2023: 213-224 - [c214]Ilja Behnke
, Philipp Wiesner
, Paul Voelker
, Odej Kao
:
Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties. MIDDLEWEDGE@Middleware 2023: 1-6 - [c213]Jonathan Will
, Lauritz Thamsen
, Dominik Scheinert
, Odej Kao
:
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? SSDBM 2023: 24:1-24:4 - [i65]Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao:
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR abs/2301.10681 (2023) - [i64]Ilja Behnke, Christoph Blumschein, Robert Danicki, Philipp Wiesner, Lauritz Thamsen, Odej Kao:
Towards a Real-Time IoT: Approaches for Incoming Packet Processing in Cyber-Physical Systems. CoRR abs/2305.01985 (2023) - [i63]Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, Odej Kao:
FedZero: Leveraging Renewable Excess Energy in Federated Learning. CoRR abs/2305.15092 (2023) - [i62]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Odej Kao:
Selecting Efficient Cluster Resources for Data Analytics: When and How to Allocate for In-Memory Processing? CoRR abs/2306.03672 (2023) - [i61]Philipp Wiesner, Ilja Behnke, Odej Kao:
A Testbed for Carbon-Aware Applications and Systems. CoRR abs/2306.09774 (2023) - [i60]Dominik Scheinert, Fabian Casares, Morgan K. Geldenhuys, Kevin Styp-Rekowski, Odej Kao:
Evaluation of Data Enrichment Methods for Distributed Stream Processing Systems. CoRR abs/2307.14287 (2023) - [i59]Pratik Agrawal, Philipp Wiesner, Odej Kao:
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients. CoRR abs/2308.08270 (2023) - [i58]Dominik Scheinert, Philipp Wiesner, Thorsten Wittkopp, Lauritz Thamsen, Jonathan Will, Odej Kao:
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. CoRR abs/2308.11792 (2023) - [i57]Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Ulf Leser, Odej Kao:
Lotaru: Locally Predicting Workflow Task Runtimes for Resource Management on Heterogeneous Infrastructures. CoRR abs/2309.06918 (2023) - [i56]Jiawen Xu, Claas Grohnfeldt, Odej Kao:
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning. CoRR abs/2310.03848 (2023) - [i55]Henrik Claßen, Jonas Thierfeldt, Julian Tochman-Szewc
, Philipp Wiesner, Odej Kao:
Carbon-Awareness in CI/CD. CoRR abs/2310.18718 (2023) - [i54]Ilja Behnke, Philipp Wiesner, Paul Voelker, Odej Kao:
Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties. CoRR abs/2310.20577 (2023) - [i53]Jonathan Bader, Nils Diedrich, Lauritz Thamsen, Odej Kao:
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks. CoRR abs/2311.08185 (2023) - [i52]Qiao Yu, Wengui Zhang, Jorge Cardoso, Odej Kao:
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study. CoRR abs/2312.02855 (2023) - [i51]Thorsten Wittkopp, Alexander Acker, Odej Kao:
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR abs/2312.14748 (2023) - 2022
- [j16]Lauritz Thamsen
, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao:
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. Datenbank-Spektrum 22(2): 143-151 (2022) - [c212]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. SCC 2022: 321-326 - [c211]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. IEEE Big Data 2022: 161-169 - [c210]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. IEEE Big Data 2022: 209-216 - [c209]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann
, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. IEEE Big Data 2022: 2709-2715 - [c208]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. IEEE Big Data 2022: 3714-3719 - [c207]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. IEEE Big Data 2022: 4583-4588 - [c206]Jasmin Bogatinovski, Odej Kao, Qiao Yu, Jorge Cardoso:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. IEEE Big Data 2022: 4733-4736 - [c205]Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao:
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. IEEE Big Data 2022: 5424-5433 - [c204]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu
, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CCGRID 2022: 346-355 - [c203]Philipp Wiesner
, Dominik Scheinert
, Thorsten Wittkopp
, Lauritz Thamsen
, Odej Kao
:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. Euro-Par 2022: 218-232 - [c202]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: improving data locality for function-as-a-service in meshed edge networks. EdgeSys@EuroSys 2022: 55-60 - [c201]Morgan Geldenhuys, Benjamin J. J. Pfister, Dominik Scheinert, Lauritz Thamsen, Odej Kao:
Khaos: Dynamically Optimizing Checkpointing for Dependable Distributed Stream Processing. FedCSIS 2022: 553-561 - [c200]Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao:
A2Log: Attentive Augmented Log Anomaly Detection. HICSS 2022: 1-10 - [c199]Soeren Becker, Tobias Pfandzelter, Nils Japke
, David Bermbach, Odej Kao:
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. IC2E 2022: 1-7 - [c198]Markus Toll, Ilja Behnke, Odej Kao:
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. IC2E 2022: 8-14 - [c197]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. IC2E 2022: 58-66 - [c196]Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao:
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. IC2E 2022: 150-159 - [c195]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. ICDM (Workshops) 2022: 1095-1101 - [c194]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. ICFEC 2022: 88-93 - [c193]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. ICWS 2022: 198-207 - [c192]Houkun Zhu, Helena Ebel, Dominik Scheinert, Florian Schmidt, Jens Altenkirch, Odej Kao:
Scalable and Data-driven Decision Support in the Maintenance, Repair, and Overhaul Process. IEEM 2022: 344-348 - [c191]Jonathan Bader, Fabian Lehmann
, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao:
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. IPCCC 2022: 269-274 - [c190]Christoph Blumschein
, Ilja Behnke, Lauritz Thamsen, Odej Kao:
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. ISORC 2022: 1-8 - [c189]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
QuLog: data-driven approach for log instruction quality assessment. ICPC 2022: 275-286 - [c188]Jonathan Bader, Fabian Lehmann
, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao:
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. SSDBM 2022: 1:1-1:12 - [i50]Soeren Becker, Dominik Scheinert, Florian Schmidt, Odej Kao:
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams. CoRR abs/2203.05362 (2022) - [i49]Daniel Habenicht, Kevin Kreutz, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Odej Kao:
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks. CoRR abs/2203.14801 (2022) - [i48]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao:
Data-Driven Approach for Log Instruction Quality Assessment. CoRR abs/2204.02618 (2022) - [i47]Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. CoRR abs/2204.02636 (2022) - [i46]Christoph Blumschein, Ilja Behnke, Lauritz Thamsen, Odej Kao:
Differentiating Network Flows for Priority-Aware Scheduling of Incoming Packets in Real-Time IoT Systems. CoRR abs/2204.08846 (2022) - [i45]Philipp Wiesner, Dominik Scheinert, Thorsten Wittkopp, Lauritz Thamsen, Odej Kao:
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads. CoRR abs/2205.02895 (2022) - [i44]Jonathan Bader, Fabian Lehmann, Lauritz Thamsen, Jonathan Will, Ulf Leser, Odej Kao:
Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters. CoRR abs/2205.11181 (2022) - [i43]Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Jonathan Bader, Odej Kao:
Collaborative Cluster Configuration for Distributed Data-Parallel Processing: A Research Overview. CoRR abs/2206.00429 (2022) - [i42]Morgan K. Geldenhuys, Dominik Scheinert, Odej Kao, Lauritz Thamsen:
Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads. CoRR abs/2206.09679 (2022) - [i41]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Get Your Memory Right: The Crispy Resource Allocation Assistant for Large-Scale Data Processing. CoRR abs/2206.13852 (2022) - [i40]Jasmin Bogatinovski, Gjorgji Madjarov, Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Leveraging Log Instructions in Log-based Anomaly Detection. CoRR abs/2207.03206 (2022) - [i39]Houkun Zhu, Dominik Scheinert, Lauritz Thamsen, Kain Kordian Gontarska, Odej Kao:
Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning. CoRR abs/2207.09298 (2022) - [i38]Soeren Becker, Tobias Pfandzelter, Nils Japke, David Bermbach, Odej Kao:
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. CoRR abs/2208.05862 (2022) - [i37]Jonathan Bader, Fabian Lehmann
, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao:
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. CoRR abs/2208.07905 (2022) - [i36]Markus Toll, Ilja Behnke, Odej Kao:
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. CoRR abs/2208.09270 (2022) - [i35]Jonathan Bader, Kevin Styp-Rekowski, Leon Doehler, Soeren Becker, Odej Kao:
Macaw: The Machine Learning Magnetometer Calibration Workflow. CoRR abs/2210.08897 (2022) - [i34]Jonathan Will, Lauritz Thamsen, Jonathan Bader, Dominik Scheinert, Odej Kao:
Ruya: Memory-Aware Iterative Optimization of Cluster Configurations for Big Data Processing. CoRR abs/2211.04240 (2022) - [i33]Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll, Odej Kao:
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things. CoRR abs/2211.07619 (2022) - [i32]Dominik Scheinert, Soeren Becker, Jonathan Bader, Lauritz Thamsen, Jonathan Will, Odej Kao:
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics. CoRR abs/2211.08227 (2022) - [i31]Jonathan Bader, Nicolas Zunker, Soeren Becker, Odej Kao:
Leveraging Reinforcement Learning for Task Resource Allocation in Scientific Workflows. CoRR abs/2211.12076 (2022) - [i30]Jonathan Bader, Joel Witzke, Soeren Becker, Ansgar Lößer, Fabian Lehmann, Leon Doehler, Anh Duc Vu, Odej Kao:
Towards Advanced Monitoring for Scientific Workflows. CoRR abs/2211.12744 (2022) - [i29]Dominik Scheinert, Babak Sistani Zadeh Aghdam, Soeren Becker, Odej Kao, Lauritz Thamsen:
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments. CoRR abs/2211.13729 (2022) - [i28]Jasmin Bogatinovski, Qiao Yu, Jorge Cardoso, Odej Kao:
First CE Matters: On the Importance of Long Term Properties on Memory Failure Prediction. CoRR abs/2212.10441 (2022) - 2021
- [j15]Lauritz Thamsen
, Jossekin Beilharz, Vinh Thuy Tran, Sasho Nedelkoski, Odej Kao:
Mary, Hugo, and Hugo*: Learning to schedule distributed data-parallel processing jobs on shared clusters. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j14]Ulf Leser, Marcus Hilbrich
, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert
, Kerstin Ritter
, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich:
The Collaborative Research Center FONDA. Datenbank-Spektrum 21(3): 255-260 (2021) - [c187]Li Wu
, Johan Tordsson, Erik Elmroth, Odej Kao:
Causal Inference Techniques for Microservice Performance Diagnosis: Evaluation and Guiding Recommendations. ACSOS 2021: 21-30 - [c186]Soeren Becker, Florian Schmidt, Lauritz Thamsen, Ana Juan Ferrer, Odej Kao:
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks. ACSOS 2021: 41-50 - [c185]Jonathan Bader, Lauritz Thamsen, Svetlana Kulagina, Jonathan Will, Henning Meyerhenke, Odej Kao:
Tarema: Adaptive Resource Allocation for Scalable Scientific Workflows in Heterogeneous Clusters. IEEE BigData 2021: 65-75 - [c184]Kevin Styp-Rekowski, Claudia Stolle, Ingo Michaelis
, Odej Kao:
Calibration of the GRACE-FO Satellite Platform Magnetometers and Co-Estimation of Intrinsic Time Shift in Data. IEEE BigData 2021: 5283-5290 - [c183]Ana Juan Ferrer, Sören Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao:
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms. CCGRID 2021: 634-641 - [c182]Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao:
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER 2021: 261-270 - [c181]Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao:
C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds. IC2E 2021: 43-52 - [c180]Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Odej Kao:
A Taxonomy of Anomalies in Log Data. ICSOC Workshops 2021: 153-164 - [c179]Soeren Becker, Florian Schmidt, Odej Kao:
EdgePier: P2P-based Container Image Distribution in Edge Computing Environments. IPCCC 2021: 1-8 - [c178]Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao:
Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC 2021: 1-8 - [e1]Hakim Hacid
, Odej Kao, Massimo Mecella
, Naouel Moha, Hye-young Paik
:
Service-Oriented Computing - 19th International Conference, ICSOC 2021, Virtual Event, November 22-25, 2021, Proceedings. Lecture Notes in Computer Science 13121, Springer 2021, ISBN 978-3-030-91430-1 [contents] - [i27]Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao:
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR abs/2101.06054 (2021) - [i26]Kevin Styp-Rekowski, Florian Schmidt, Odej Kao:
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series. CoRR abs/2101.10037 (2021) - [i25]Sabtain Ahmad, Kevin Styp-Rekowski, Sasho Nedelkoski, Odej Kao:
Autoencoder-based Condition Monitoring and Anomaly Detection Method for Rotating Machines. CoRR abs/2101.11539 (2021) - [i24]Ilja Behnke, Lukas Pirl, Lauritz Thamsen, Robert Danicki, Andreas Polze, Odej Kao:
Interrupting Real-Time IoT Tasks: How Bad Can It Be to Connect Your Critical Embedded System to the Internet? CoRR abs/2102.05559 (2021) - [i23]Morgan Geldenhuys, Lauritz Thamsen, Kain Kordian Gontarska, Felix Lorenz, Odej Kao:
Effectively Testing System Configurations of Critical IoT Analytics Pipelines. CoRR abs/2102.06094 (2021) - [i22]Morgan Geldenhuys, Lauritz Thamsen, Odej Kao:
Chiron: Optimizing Fault Tolerance in QoS-aware Distributed Stream Processing Jobs. CoRR abs/2102.06170 (2021) - [i21]