Real Time Fault Detection System for Cloud Computing Using Unsupervised Outlier Detection Method

Abstract

Outlier detection is becoming a recent area of research focus in data mining. Existing system propose an efficient outlier detection concept DenOD based on unsupervised method for intrusion detection in cloud computing environment [1]. Unsupervised outlier detection plays an important role in different application domains. It can be used in intrusion detection, fault detection, fraud detection.One main reason behind the popularity of unsupervised method is, it doesn’t require any training data set.
In this project work we are using unsupervised outlier detection method for fault detection over cloud computing environment.As in cloud computing there several machine running at the server side, having many services for many users, cannot guarantee the error free service all the time. Therefore our proposed approach will be able to detect the fault at the machine and their services in order to offer the guaranteed to the consumers.