Alexander Acker

According to our database, Alexander Acker authored at least 30 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis.

Thorsten Wittkopp, Alexander Acker, Odej Kao

Proceedings of the IEEE International Conference on Data Mining, 2023

PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning.

Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

2022

Data-Driven Approach for Log Instruction Quality Assessment.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao

CoRR, 2022

QuLog: data-driven approach for log instruction quality assessment.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

A2Log: Attentive Augmented Log Anomaly Detection.

Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Anomaly symptom recognition in distributed IT systems.

Alexander Acker

PhD thesis, 2021

Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies.

Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao

CoRR, 2021

Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models.

Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao

CoRR, 2021

Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper.

Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao

CoRR, 2021

Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation.

Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao

Proceedings of the IEEE International Performance, 2021

LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision.

Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts.

Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems.

Li Wu, Johan Tordsson, Alexander Acker, Odej Kao

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Self-supervised Log Parsing.

Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Decentralized Federated Learning Preserves Model and Data Privacy.

Thorsten Wittkopp, Alexander Acker

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services.

Dominik Scheinert, Alexander Acker

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs.

Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

AI-Governance and Levels of Automation for AIOps-supported System Administration.

Anton Gulenko, Alexander Acker, Odej Kao, Feng Liu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction.

Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

Towards AIOps in Edge Computing Environments.

Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Bitflow: An In Situ Stream Processing Framework.

Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao

Proceedings of the 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2020

2019

Graph-based Feature Selection Filter Utilizing Maximal Cliques.

Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring.

Marcel Wallschläger, Alexander Acker, Odej Kao

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima.

Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao

Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services.

Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution.

Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Alexander Acker, Odej Kao

Proceedings of the 7th IEEE International Conference on Cloud Networking, 2018

Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima.

Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems.

Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao

Proceedings of the 2018 IEEE International Conference on Cloud Computing Technology and Science, 2018

Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering.

Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams.

Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017