A hybrid anomaly detection framework in cloud computing using one-class and two-class support vector machines
Modern production utility clouds contain thousands of computing and storage servers. Such
a scale combined with ever-growing system complexity of their components and …
a scale combined with ever-growing system complexity of their components and …
A self-evolving anomaly detection framework for developing highly dependable utility clouds
Utility clouds continue to grow in scale and in the complexity of their components and
interactions, which introduces a key challenge to failure and resource management for …
interactions, which introduces a key challenge to failure and resource management for …
Adaptive anomaly identification by exploring metric subspace in cloud computing infrastructures
Cloud computing has become increasingly popular by obviating the need for users to own
and maintain complex computing infrastructures. However, due to their inherent complexity …
and maintain complex computing infrastructures. However, due to their inherent complexity …
Exploring time and frequency domains for accurate and automated anomaly detection in cloud computing systems
Cloud computing has become increasingly popular by obviating the need for users to own
and maintain complex computing infrastructures. However, due to their inherent complexity …
and maintain complex computing infrastructures. However, due to their inherent complexity …
Performance metric selection for autonomic anomaly detection on cloud computing systems
S Fu - 2011 IEEE Global Telecommunications Conference …, 2011 - ieeexplore.ieee.org
With ever-growing complexity and dynamicity of cloud computing systems, dependability
assurance has become a major concern in system design and management. In this paper …
assurance has become a major concern in system design and management. In this paper …
Adaptive real‐time anomaly detection in cloud infrastructures
Cloud computing has become increasingly popular, which has led many individuals and
organizations towards cloud storage systems. This move is motivated by benefits such as …
organizations towards cloud storage systems. This move is motivated by benefits such as …
DAC‐Hmm: detecting anomaly in cloud systems with hidden Markov models
B Hong, F Peng, B Deng, Y Hu… - … : Practice and Experience, 2015 - Wiley Online Library
Cloud computing has rapidly been adopted in recent years by freeing users from the low‐
level task of setting up the hardware and managing the system software. Anomaly detection …
level task of setting up the hardware and managing the system software. Anomaly detection …
Toward autonomic cloud: Automatic anomaly detection and resolution
R Ahad, E Chan, A Santos - 2015 International conference on …, 2015 - ieeexplore.ieee.org
In this paper we describe an approach to implement an autonomic cloud. Our approach is
based on our belief that if a computing system can automatically detect and correct …
based on our belief that if a computing system can automatically detect and correct …
Adaptive anomaly detection in cloud using robust and scalable principal component analysis
This paper proposes a novel and scalable model for automatic anomaly detection on a large
system such as a cloud. Anomaly detection issues early warning of unusual behavior in …
system such as a cloud. Anomaly detection issues early warning of unusual behavior in …
[PDF][PDF] A Comparative Study of Deep Neural Networks and Support Vector Machines for Unsupervised Anomaly Detection in Cloud Computing Environments
T Arjunan - International Journal for Research in Applied Science …, 2024 - researchgate.net
Cloud computing is now ubiquitous and provides convenient access to computing resources
on demand. Cloud environments are complex and prone to faults, which can have a …
on demand. Cloud environments are complex and prone to faults, which can have a …