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ORCIDOdej 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 - [i72]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) - [i71]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) - [i70]Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso, Odej Kao:
On Software Ageing Indicators in OpenStack. CoRR abs/2404.16446 (2024) - [i69]Thorsten Wittkopp, Philipp Wiesner, Odej Kao:
LogRCA: Log-based Root Cause Analysis for Distributed Services. CoRR abs/2405.13599 (2024) - [i68]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) - [i67]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) - [i66]Jonathan Bader, Ansgar Lößer, Lauritz Thamsen, Björn Scheuermann, Odej Kao:
KS+: Predicting Workflow Task Memory Usage Over Time. CoRR abs/2408.12290 (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]