A systematic review on anomaly detection for cloud computing environments
T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …
the field of cloud computing in several different ways: from the detection of various types of …
SLA management for big data analytical applications in clouds: A taxonomy study
Recent years have witnessed the booming of big data analytical applications (BDAAs). This
trend provides unrivaled opportunities to reveal the latent patterns and correlations …
trend provides unrivaled opportunities to reveal the latent patterns and correlations …
Anomaly detection in cloud computing using knowledge graph embedding and machine learning mechanisms
The orchestration of cloud computing infrastructures is challenging, considering the number,
heterogeneity and dynamicity of the involved resources, along with the highly distributed …
heterogeneity and dynamicity of the involved resources, along with the highly distributed …
Anomaly detection and diagnosis for container-based microservices with performance monitoring
Q Du, T Xie, Y He - Algorithms and Architectures for Parallel Processing …, 2018 - Springer
With emerging container technologies, such as Docker, microservices-based applications
can be developed and deployed in cloud environment much agiler. The dependability of …
can be developed and deployed in cloud environment much agiler. The dependability of …
Dla: Detecting and localizing anomalies in containerized microservice architectures using markov models
Container-based microservice architectures are emerging as a new approach for building
distributed applications as a collection of independent services that works together. As a …
distributed applications as a collection of independent services that works together. As a …
Real-time analysis of multiple root causes for anomalies assisted by digital twin in NFV environment
W Wang, L Tang, C Wang… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Network Function Virtualization (NFV) is a promising paradigm that enables the employment
of novel service types with lower deployment cost and faster time-to-value, but it introduces …
of novel service types with lower deployment cost and faster time-to-value, but it introduces …
Anomaly Detection in Microservice-Based Systems
Currently, distributed software systems have evolved at an unprecedented pace. Modern
software-quality requirements are high and require significant staff support and effort. This …
software-quality requirements are high and require significant staff support and effort. This …
Enhancing Database Security: A Machine Learning Approach to Anomaly Detection in NoSQL Systems
JP Singh - International Journal of Information and …, 2023 - publications.dlpress.org
This paper explores the integration of machine learning, specifically recurrent neural
networks (RNNs), for automated anomaly detection within NoSQL databases. It addresses …
networks (RNNs), for automated anomaly detection within NoSQL databases. It addresses …
AI for DevSecOps: A Landscape and Future Opportunities
DevOps has emerged as one of the most rapidly evolving software development paradigms.
With the growing concerns surrounding security in software systems, the DevSecOps …
With the growing concerns surrounding security in software systems, the DevSecOps …
A framework of virtual war room and matrix sketch-based streaming anomaly detection for microservice systems
Recently, microservice has been a popular architecture to construct cloud-native systems.
This novel architecture brings agility and accelerates the software development process …
This novel architecture brings agility and accelerates the software development process …