Adaptive anomaly detection in cloud using robust and scalable principal component analysis

B Agrawal, T Wiktorski, C Rong - 2016 15th international …, 2016 - ieeexplore.ieee.org
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 …

Adaptive real‐time anomaly detection in cloud infrastructures

B Agrawal, T Wiktorski, C Rong - … and Computation: Practice …, 2017 - Wiley Online Library
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 …

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 …

Exploring time and frequency domains for accurate and automated anomaly detection in cloud computing systems

Q Guan, S Fu, N DeBardeleben… - 2013 IEEE 19th Pacific …, 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 …

PBAD: Perception-based anomaly detection system for cloud datacenters

J Kim, HS Kim - 2015 IEEE 8th international conference on …, 2015 - ieeexplore.ieee.org
Detection of anomalies in large Cloud infrastructure is challenging. Understanding
operational behavior of Cloud is extremely difficult due to the heterogeneity of different …

Driftinsight: detecting anomalous behaviors in large-scale cloud platform

FJ Meng, X Zhang, P Chen… - 2017 IEEE 10th …, 2017 - ieeexplore.ieee.org
Detecting anomalous behaviors of cloud platforms is one of critical tasks for cloud providers.
Every anomalous behavior potentially causes incidents, especially some unaware and/or …

PCAD: cloud performance anomaly detection with data packet counts

K Wang, HS Kim - 2017 IEEE International Conference on …, 2017 - ieeexplore.ieee.org
Cloud applications run on numerous servers and network elements. Complexity and
heterogeneity of these elements make evaluation of application performance very …

Anomaly detection in the cloud using data density

SN Shirazi, S Simpson, A Gouglidis… - 2016 IEEE 9th …, 2016 - ieeexplore.ieee.org
Cloud computing is now extremely popular because of its use of elastic resources to provide
optimized, cost-effective and on-demand services. However, clouds may be subject to …

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 …

A supervised deep learning framework for proactive anomaly detection in cloud workloads

S Gupta, N Muthiyan, S Kumar… - 2017 14th IEEE India …, 2017 - ieeexplore.ieee.org
Cloud environment is highly prone to failures due to its distributed nature and inherent
complexity. Proactive identification of failures aids the service providers to avert these …