Adaptive anomaly identification by exploring metric subspace in cloud computing infrastructures

Q Guan, S Fu - 2013 IEEE 32nd International Symposium on …, 2013 - ieeexplore.ieee.org
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 …

Aad: Adaptive anomaly detection system for cloud computing infrastructures

HS Pannu, J Liu, S Fu - 2012 IEEE 31st Symposium on …, 2012 - ieeexplore.ieee.org
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 …

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 …

A self-evolving anomaly detection framework for developing highly dependable utility clouds

HS Pannu, J Liu, S Fu - 2012 IEEE Global Communications …, 2012 - ieeexplore.ieee.org
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 …

An anomaly detection framework for autonomic management of compute cloud systems

D Smith, Q Guan, S Fu - 2010 IEEE 34th Annual Computer …, 2010 - ieeexplore.ieee.org
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 …

A hybrid anomaly detection framework in cloud computing using one-class and two-class support vector machines

S Fu, J Liu, H Pannu - Advanced Data Mining and Applications: 8th …, 2012 - Springer
Modern production utility clouds contain thousands of computing and storage servers. Such
a scale combined with ever-growing system complexity of their components and …

Experience report: Anomaly detection of cloud application operations using log and cloud metric correlation analysis

M Farshchi, JG Schneider, I Weber… - 2015 IEEE 26th …, 2015 - ieeexplore.ieee.org
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 …

An lof-based adaptive anomaly detection scheme for cloud computing

T Huang, Y Zhu, Q Zhang, Y Zhu… - 2013 IEEE 37th …, 2013 - ieeexplore.ieee.org
One of the most attractive things about cloud computing from the perspective of business
people is that it provides an effective means to outsource IT. The behaviors of business …

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 …

Detecting abnormal machine characteristics in cloud infrastructures

K Bhaduri, K Das, BL Matthews - 2011 IEEE 11th International …, 2011 - ieeexplore.ieee.org
In the cloud computing environment resources are accessed as services rather than as a
product. Monitoring this system for performance is crucial because of typical pay-per-use …