Clustering EDP (Error Detection Program) Errors from Cloud Data Centres using Data Mining

Abstract

Cloud computing emerging as a vital resource of every business firm in the world, as a result there is a tremendous usage and movement of data from the cloud data centres to client on 24x7. This phenomenon generates many types of errors or faults at various stages of cloud computing process. The errors or faults are identified and resolved using EDP (Error Detection Program) part 1[14] and stored in simple text file using many attributes for further processing [15]. In this paper author proposing a mechanism to import the errors from the simple text file using python script and an automated SQL query will now export the data into a table in the MySQL data base. All the errors are stored as per the priority generated by a SQL query. In the next paper author applies various data mining techniques such as clustering, classification, forecasting on MySQL database to alert the various cloud administrators to prevent the errors or faults.