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Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
With increasingly more computation being shifted to the edge of the network, monitoring of critical infrastructures, such as intermediate processing nodes in autonomous driving, is further complicated due to the typically resource-constrained environments.
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics
Choosing a good resource configuration for big data analytics applications can be challenging, especially in cloud environments.
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Enabled by the increasing availability of sensor data monitored from production machinery, condition monitoring and predictive maintenance methods are key pillars for an efficient and robust manufacturing production cycle in the Industrial Internet of Things.
Towards AIOps in Edge Computing Environments
Edge computing was introduced as a technical enabler for the demanding requirements of new network technologies like 5G.
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Finally, all this will result in faster adoption of AIOps, further increase the interest in this research field and contribute to bridging the gap towards fully-autonomous operating IT systems.
