10 citations · 19 across the 8 of their papers we have counts for
7 papers · 1 filter
A layered architecture for log analysis in complex IT systems
Thorsten Wittkopp
In the evolving IT landscape, stability and reliability of systems are essential, yet their growing complexity challenges DevOps teams in implementation and maintenance. Log analys…
LogRCA: Log-based Root Cause Analysis for Distributed Services
Thorsten Wittkopp, Philipp Wiesner, Odej Kao
To assist IT service developers and operators in managing their increasingly complex service landscapes, there is a growing effort to leverage artificial intelligence in operations…
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis
Thorsten Wittkopp, Alexander Acker, Odej Kao
The realm of AIOps is transforming IT landscapes with the power of AI and ML. Despite the challenge of limited labeled data, supervised models show promise, emphasizing the importa…
A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp, Alexander Acker, Sasho Nedelkoski +4
Anomaly detection becomes increasingly important for the dependability and serviceability of IT services. As log lines record events during the execution of IT services, they are a…
Decentralized Federated Learning Preserves Model and Data Privacy
Thorsten Wittkopp, Alexander Acker
The increasing complexity of IT systems requires solutions, that support operations in case of failure. Therefore, Artificial Intelligence for System Operations (AIOps) is a field…
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker +5
Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between the research areas of machine learning, big data, strea…