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 …
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 …
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 …
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 …
Efficient and accurate anomaly identification using reduced metric space in utility clouds
The online detection of anomalies is a vital element of operations in utility clouds. Detection
should function for different levels of abstraction including hardware and software, and for …
should function for different levels of abstraction including hardware and software, and for …
Aad: Adaptive anomaly detection system for cloud computing infrastructures
Cloud computing has become increasingly popular by obviating the need for users to own
and maintain complex computing infrastructure. However, due to their inherent complexity …
and maintain complex computing infrastructure. 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 …
Online detection of utility cloud anomalies using metric distributions
C Wang, V Talwar, K Schwan… - 2010 IEEE Network …, 2010 - ieeexplore.ieee.org
The online detection of anomalies is a vital element of operations in data centers and in
utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with the …
utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with the …
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 …
An anomaly detection framework for autonomic management of compute cloud systems
In large-scale compute cloud systems, component failures become norms instead of
exceptions. Failure occurrence as well as its impact on system performance and operation …
exceptions. Failure occurrence as well as its impact on system performance and operation …