Bao et al., 2020
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| Rezaeipanah et al. | Providing a new approach to increase fault tolerance in cloud computing using fuzzy logic | |
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| Bashar | Autonomic scaling of cloud computing resources using BN-based prediction models | |
| Samir | A controller architecture for anomaly detection, root cause analysis and self-adaptation for cluster architectures | |
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| Dou et al. | Pc 2 a: predicting collective contextual anomalies via lstm with deep generative model | |
| Bogojeska et al. | Classifying server behavior and predicting impact of modernization actions | |
| Hong et al. | Machine learning based sla-aware vnf anomaly detection for virtual network management | |
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| Benmakrelouf et al. | Abnormal behavior detection using resource level to service level metrics mapping in virtualized systems | |
| Tuli et al. | DRAGON: Decentralized fault tolerance in edge federations | |
| CN117455458A (en) | Automatic operation and maintenance method, device, equipment and storage medium | |
| Abro et al. | Artificial intelligence enabled effective fault prediction techniques in cloud computing environment for improving resource optimization | |
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| Molan et al. | Graafe: Graph anomaly anticipation framework for exascale hpc systems | |
| Thanh Bui et al. | Virtual machines migration game approach for multi‐tier application in infrastructure as a service cloud computing | |
| Bao et al. | Failure Prediction with Hierarchical Approach in Private Cloud | |
| Hani et al. | Support vector regression for service level agreement violation prediction | |
| Teggi et al. | AIOPs based Predictive Alerting for System Stability in IT Environment | |
| Ismaeel et al. | Real-time energy-conserving vm-provisioning framework for cloud-data centers | |
| Alkasem et al. | Utility cloud: a novel approach for diagnosis and self-healing based on the uncertainty in anomalous metrics | |
| CN117076050A (en) | Anomaly detection method for power slice architecture based on federated adversarial learning |