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08/22/2023
Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics
Selecting the right resources for big data analytics jobs is hard becaus...
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01/25/2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
Due to the complexity of modern IT services, failures can be manifold, o...
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05/05/2022
Cucumber: Renewable-Aware Admission Control for Delay-Tolerant Cloud and Edge Workloads
The growing electricity demand of cloud and edge computing increases ope...
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11/26/2021
A Taxonomy of Anomalies in Log Data
Log data anomaly detection is a core component in the area of artificial...
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11/16/2021
On the Potential of Execution Traces for Batch Processing Workload Optimization in Public Clouds
With the growing amount of data, data processing workloads and the manag...
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11/02/2021
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
With increasing scale and complexity of cloud operations, automated dete...
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09/20/2021
A2Log: Attentive Augmented Log Anomaly Detection
Anomaly detection becomes increasingly important for the dependability a...
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07/29/2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Distributed dataflow systems enable the use of clusters for scalable dat...
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02/01/2021
Decentralized Federated Learning Preserves Model and Data Privacy
The increasing complexity of IT systems requires solutions, that support...
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01/15/2021
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Artificial Intelligence for IT Operations (AIOps) is an emerging interdi...
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07/07/2020