Alexander Acker

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 41

Top Topics

Network Monitoring

Anomaly Detection

Top Venues

ICSOC Workshops

Publications

Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR (2023)
Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS (2023)
Thorsten Wittkopp, Alexander Acker, Odej Kao
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR (2023)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
Data-Driven Approach for Log Instruction Quality Assessment. CoRR (2022)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. HICSS (2022)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
QuLog: data-driven approach for log instruction quality assessment. ICPC (2022)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR (2021)
Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
Towards AIOps in Edge Computing Environments. CoRR (2021)
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Sören Becker, Jorge Cardoso, Odej Kao
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR (2021)
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. CoRR (2021)
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
A2Log: Attentive Augmented Log Anomaly Detection. CoRR (2021)
Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR (2021)
Thorsten Wittkopp, Alexander Acker
Decentralized Federated Learning Preserves Model and Data Privacy. CoRR (2021)
Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR (2021)
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)
Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC (2021)
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)
Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR (2021)
Dominik Scheinert, Alexander Acker
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. CoRR (2021)
Thorsten Wittkopp, Alexander Acker
Decentralized Federated Learning Preserves Model and Data Privacy. ICSOC Workshops (2020)
Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao
Bitflow: An In Situ Stream Processing Framework. ACSOS Companion (2020)
Sören Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
Towards AIOps in Edge Computing Environments. IEEE BigData (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS (2020)
Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Supervised Log Parsing. CoRR (2020)
Li Wu, Johan Tordsson, Alexander Acker, Odej Kao
MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems. UCC (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR (2020)
Dominik Scheinert, Alexander Acker
TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. ICSOC Workshops (2020)
Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
Self-supervised Log Parsing. ECML/PKDD (4) (2020)
Anton Gulenko, Alexander Acker, Odej Kao, Feng Liu
AI-Governance and Levels of Automation for AIOps-supported System Administration. ICCCN (2020)
Marcel Wallschläger, Alexander Acker, Odej Kao
Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring. ICCSA (1) (2019)
Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao
Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS (2019)
Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Alexander Acker, Odej Kao
Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. CloudNet (2018)
Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. UCC Companion (2018)
Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao
Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. CloudCom (2018)
Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao
IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. ICWS (2018)
Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. CloudCom (2018)
Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu
Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. IEEE CLOUD (2018)
Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao
Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. IEEE BigData (2017)