Outlier detection based fault-detection algorithm for cloud computing

Outlier detection is becoming a recent area of research focus in data mining. In Cloud Computing, we use all resources as a service and these services should be very efficient, robust and corrective. Here we present FDACC (Fault Detection Algorithm for Cloud Computing) for faulty services using outl...

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Bibliographic Details
Published inInternational Conference for Convergence for Technology-2014 pp. 1 - 4
Main Authors Kumar, Manoj, Mathur, Robin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Cloud computing
Conferences
Fault detection
Fault detection algorithm
Fault tolerance
Fault tolerant systems
FDACC
FDS
Outlier Detection method
Virtualization
Online AccessGet full text
DOI10.1109/I2CT.2014.7092201

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Summary:Outlier detection is becoming a recent area of research focus in data mining. In Cloud Computing, we use all resources as a service and these services should be very efficient, robust and corrective. Here we present FDACC (Fault Detection Algorithm for Cloud Computing) for faulty services using outlier detection method that can help to detect accurate and novel faulty services without any knowledge. FDACC implemented on this framework that has three components- cloud nodes, FDS (Fault Detection System) and End User. FDS is connected with end user and n number of nodes in cloud. FDS is able to detect all non-working services as well as detect faulty services and machines in cloud environment.
DOI:10.1109/I2CT.2014.7092201