Title :
Models and Methodology for Automated Business Continuity Analysis
Author :
Winkler, U. ; Gilani, W. ; Guitman, A. ; Marshall, A.
Abstract :
Businesses and enterprises depend more than ever on IT service systems. Business processes are vulnerable to disruptions caused by failures in IT systems. Business Continuity Management addresses this problem and tries to identify and determine strategies and responses to overcome or mitigate possible business disruptions. In this paper we introduce a novel Business Continuity Model for IT systems and a Statistical Process Control based approach to perform an automated Business Impact Analysis.
Keywords :
business data processing; statistical process control; IT service systems; automated business continuity analysis; automated business impact analysis; business continuity management; enterprises; statistical process control based approach; Analytical models; Atmospheric modeling; Business continuity; Data models; Process control; Servers;
Conference_Titel :
Engineering of Complex Computer Systems (ICECCS), 2012 17th International Conference on
Conference_Location :
Paris
Print_ISBN :
978-1-4673-2156-3
