Automated traces-based anomaly detection and root cause analysis in cloud platforms
M Soualhia, F Wuhib - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
Current cloud infrastructures and their applications are increasingly complex, with
confounding relationships among application elements and cloud infrastructure …
confounding relationships among application elements and cloud infrastructure …
Anomaly detection in nuclear power plant data using support vector data description
CK Maurya, D Toshniwal - Proceedings of the 2014 IEEE …, 2014 - ieeexplore.ieee.org
Anomaly detection has drawn a slew of attention in recent years, although term has been
known as outlier detection in statistics several decades ago. Everyday large volume of data …
known as outlier detection in statistics several decades ago. Everyday large volume of data …
Supporting Autonomic Management of Clouds: Service-Level-Agreement, Cloud Monitoring and Similarity Learning
RB Uriarte - 2015 - e-theses.imtlucca.it
Cloud computing has grown rapidly during the past few years and has become a
fundamental paradigm in the Information Technology (IT) area. Clouds enable dynamic …
fundamental paradigm in the Information Technology (IT) area. Clouds enable dynamic …
Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
H He, X Li, P Chen, J Chen, M Liu, L Wu - Journal of Cloud Computing, 2024 - Springer
Cloud environment is a virtual, online, and distributed computing environment that provides
users with large-scale services. And cloud monitoring plays an integral role in protecting …
users with large-scale services. And cloud monitoring plays an integral role in protecting …
Leveraging mapreduce and synchrophasors for real-time anomaly detection in the smart grid
SJ Matthews, AS Leger - IEEE Transactions on Emerging …, 2017 - ieeexplore.ieee.org
The rapid detection of anomalous behavior in SCADA systems such as the US power grid is
critical for system resiliency and operator response in cases of power fluctuations due to …
critical for system resiliency and operator response in cases of power fluctuations due to …
Practical autoencoder based anomaly detection by using vector reconstruction error
H Torabi, SL Mirtaheri, S Greco - Cybersecurity, 2023 - Springer
Nowadays, cloud computing provides easy access to a set of variable and configurable
computing resources based on user demand through the network. Cloud computing …
computing resources based on user demand through the network. Cloud computing …
auto-AID: A data mining framework for autonomic anomaly identification in networked computer systems
Networked computer systems continue to grow in scale and in the complexity of their
components and interactions. Component failures become norms instead of exceptions in …
components and interactions. Component failures become norms instead of exceptions in …
Proactive scheduling in cloud computing
R Kaur, G Kaur - Bulletin of Electrical Engineering and Informatics, 2017 - beei.org
Autonomic fault aware scheduling is a feature quite important for cloud computing and it is
related to adoption of workload variation. In this context, this paper proposes an fault aware …
related to adoption of workload variation. In this context, this paper proposes an fault aware …
A novel technique for {Long-Term} anomaly detection in the cloud
High availability and performance of a web service is key, amongst other factors, to the
overall user experience (which in turn directly impacts the bottom-line). Exogenic and/or …
overall user experience (which in turn directly impacts the bottom-line). Exogenic and/or …
Experience report: Anomaly detection of cloud application operations using log and cloud metric correlation analysis
Failure of application operations is one of the main causes of system-wide outages in cloud
environments. This particularly applies to DevOps operations, such as backup …
environments. This particularly applies to DevOps operations, such as backup …