31 citations · 407 across the 77 of their papers we have counts for
15 papers · 1 filter
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…
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study
Qiao Yu, Wengui Zhang, Jorge Cardoso +1
In large-scale datacenters, memory failure is a common cause of server crashes, with Uncorrectable Errors (UEs) being a major indicator of Dual Inline Memory Module (DIMM) defects.…
Predicting Dynamic Memory Requirements for Scientific Workflow Tasks
Jonathan Bader, Nils Diedrich, Lauritz Thamsen +1
With the increasing amount of data available to scientists in disciplines as diverse as bioinformatics, physics, and remote sensing, scientific workflow systems are becoming increa…
Offloading Real-Time Tasks in IIoT Environments under Consideration of Networking Uncertainties
Ilja Behnke, Philipp Wiesner, Paul Voelker +1
Offloading is a popular way to overcome the resource and power constraints of networked embedded devices, which are increasingly found in industrial environments. It involves movin…
Carbon-Awareness in CI/CD
Henrik Claßen, Jonas Thierfeldt, Julian Tochman-Szewc +2
While the environmental impact of digitalization is becoming more and more evident, the climate crisis has become a major issue for society. For instance, data centers alone accoun…
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning
Jiawen Xu, Claas Grohnfeldt, Odej Kao
In most works on deep incremental learning research, it is assumed that novel samples are pre-identified for neural network retraining. However, practical deep classifiers often mi…