Alexander Acker

49 papers A* 1A 3B 1C 5Misc 1Journal 21Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads. ICPE Companion Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Soeren Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026	J	`jnl`	Beyond Microservices: Testing Web-Scale RCA Methods on GPU-Driven LLM Workloads. CoRR Dominik Scheinert, Alexander Acker, Thorsten Wittkopp, Sören Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2026	J	`jnl`	Distributed LLM Pretraining During Renewable Curtailment Windows: A Feasibility Study. CoRR Philipp Wiesner, Sören Becker, Brett Cornick, Dominik Scheinert, Alexander Acker, Odej Kao
2025	J	`jnl`	Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions. CoRR Justus Flerlage, Alexander Acker, Odej Kao
2025	J	`jnl`	Distributed Low-Communication Training with Decoupled Momentum Optimization. CoRR Sasho Nedelkoski, Alexander Acker, Odej Kao, Sören Becker, Dominik Scheinert
2025	—	`conf`	From Intentions to Actions: Workflow Generation with LLMs for Robots. FLLM Justus Flerlage, Alexander Acker, Dominik Scheinert, Soeren Becker, Hamza Yous, Karnakar Reddy, Ibrahim Farhat, Hakim Hacid, Odej Kao
2025	J	`jnl`	What happens when nanochat meets DiLoCo? CoRR Alexander Acker, Sören Becker, Sasho Nedelkoski, Dominik Scheinert, Odej Kao, Philipp Wiesner
2023	—	`conf`	PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. HICSS Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023	J	`jnl`	PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning. CoRR Thorsten Wittkopp, Dominik Scheinert, Philipp Wiesner, Alexander Acker, Odej Kao
2023	—	`conf`	Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. ICDM (Workshops) Thorsten Wittkopp, Alexander Acker, Odej Kao
2023	J	`jnl`	Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis. CoRR Thorsten Wittkopp, Alexander Acker, Odej Kao
2022	—	`conf`	A2Log: Attentive Augmented Log Anomaly Detection. HICSS Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2022	J	`jnl`	Data-Driven Approach for Log Instruction Quality Assessment. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
2022	A	`conf`	QuLog: data-driven approach for log instruction quality assessment. ICPC Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Jorge Cardoso, Odej Kao
2021	J	`jnl`	A2Log: Attentive Augmented Log Anomaly Detection. CoRR Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski, Jasmin Bogatinovski, Dominik Scheinert, Wu Fan, Odej Kao
2021	—	`—`	Anomaly symptom recognition in distributed IT systems. Alexander Acker
2021	J	`jnl`	Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper. CoRR Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker, Florian Schmidt, Thorsten Wittkopp, Soeren Becker, Jorge Cardoso, Odej Kao
2021	C	`conf`	Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CLUSTER Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021	J	`jnl`	Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts. CoRR Dominik Scheinert, Lauritz Thamsen, Houkun Zhu, Jonathan Will, Alexander Acker, Thorsten Wittkopp, Odej Kao
2021	J	`jnl`	Decentralized Federated Learning Preserves Model and Data Privacy. CoRR Thorsten Wittkopp, Alexander Acker
2021	C	`conf`	Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. IPCCC Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021	J	`jnl`	Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation. CoRR Dominik Scheinert, Houkun Zhu, Lauritz Thamsen, Morgan K. Geldenhuys, Jonathan Will, Alexander Acker, Odej Kao
2021	J	`jnl`	Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies. CoRR Dominik Scheinert, Alexander Acker, Lauritz Thamsen, Morgan K. Geldenhuys, Odej Kao
2021	A	`conf`	LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. ICSOC Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021	J	`jnl`	LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision. CoRR Thorsten Wittkopp, Philipp Wiesner, Dominik Scheinert, Alexander Acker
2021	J	`jnl`	Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models. CoRR Harold Ott, Jasmin Bogatinovski, Alexander Acker, Sasho Nedelkoski, Odej Kao
2021	J	`jnl`	TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. CoRR Dominik Scheinert, Alexander Acker
2021	J	`jnl`	Towards AIOps in Edge Computing Environments. CoRR Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
2020	B	`conf`	AI-Governance and Levels of Automation for AIOps-supported System Administration. ICCCN Anton Gulenko, Alexander Acker, Odej Kao, Feng Liu
2020	—	`conf`	Bitflow: An In Situ Stream Processing Framework. ACSOS Companion Anton Gulenko, Alexander Acker, Florian Schmidt, Sören Becker, Odej Kao
2020	—	`conf`	Decentralized Federated Learning Preserves Model and Data Privacy. ICSOC Workshops Thorsten Wittkopp, Alexander Acker
2020	Misc	`conf`	MicroRAS: Automatic Recovery in the Absence of Historical Failure Data for Microservice Systems. UCC Li Wu, Johan Tordsson, Alexander Acker, Odej Kao
2020	A*	`conf`	Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. ICDM Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	J	`jnl`	Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs. CoRR Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	J	`jnl`	Self-Supervised Log Parsing. CoRR Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	—	`conf`	Self-supervised Log Parsing. ECML/PKDD (4) Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, Odej Kao
2020	C	`conf`	Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. FedCSIS Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
2020	J	`jnl`	Superiority of Simplicity: A Lightweight Model for Network Device Workload Prediction. CoRR Alexander Acker, Thorsten Wittkopp, Sasho Nedelkoski, Jasmin Bogatinovski, Odej Kao
2020	—	`conf`	TELESTO: A Graph Neural Network Model for Anomaly Classification in Cloud Services. ICSOC Workshops Dominik Scheinert, Alexander Acker
2020	—	`conf`	Towards AIOps in Edge Computing Environments. IEEE BigData Soeren Becker, Florian Schmidt, Anton Gulenko, Alexander Acker, Odej Kao
2019	—	`conf`	Graph-based Feature Selection Filter Utilizing Maximal Cliques. SNAMS Daniel Thilo Schroeder, Kevin Styp-Rekowski, Florian Schmidt, Alexander Acker, Odej Kao
2019	—	`conf`	Silent Consensus: Probabilistic Packet Sampling for Lightweight Network Monitoring. ICCSA (1) Marcel Wallschläger, Alexander Acker, Odej Kao
2018	—	`conf`	Anomaly Detection for Black Box Services in Edge Clouds Using Packet Size Distribution. CloudNet Marcel Wallschläger, Anton Gulenko, Florian Schmidt, Alexander Acker, Odej Kao
2018	—	`conf`	Detecting Anomalous Behavior of Black-Box Services Modeled with Distance-Based Online Clustering. IEEE CLOUD Anton Gulenko, Florian Schmidt, Alexander Acker, Marcel Wallschläger, Odej Kao, Feng Liu
2018	A	`conf`	IFTM - Unsupervised Anomaly Detection for Virtualized Network Function Services. ICWS Florian Schmidt, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Vincent Hennig, Feng Liu, Odej Kao
2018	C	`conf`	Online Density Grid Pattern Analysis to Classify Anomalies in Cloud and NFV Systems. CloudCom Alexander Acker, Florian Schmidt, Anton Gulenko, Odej Kao
2018	—	`conf`	Unsupervised Anomaly Event Detection for Cloud Monitoring Using Online Arima. UCC Companion Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
2018	C	`conf`	Unsupervised Anomaly Event Detection for VNF Service Monitoring Using Multivariate Online Arima. CloudCom Florian Schmidt, Florian Suri-Payer, Anton Gulenko, Marcel Wallschläger, Alexander Acker, Odej Kao
2017	—	`conf`	Patient-individual morphological anomaly detection in multi-lead electrocardiography data streams. IEEE BigData Alexander Acker, Florian Schmidt, Anton Gulenko, Reinhard Kietzmann, Odej Kao