Paris, France France
July 18, 2012 to July 20, 2012
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.
Analytical models, Servers, Atmospheric modeling, Process control, Business continuity, Data models
Ulrich Winkler, Wasif Gilani, Alex Guitman, Alan Marshall, "Models and Methodology for Automated Business Continuity Analysis", ICECCS, 2012, Engineering of Complex Computer Systems, IEEE International Conference on, Engineering of Complex Computer Systems, IEEE International Conference on 2012, pp. 57-64, doi:10.1109/ICECCS.2012.24