Modeling Information System Availability by using Bayesian Belief Network Approach

Semir Ibrahimovic, Nijaz Bajgoric
2016 Interdisciplinary Description of Complex Systems  
Modern information systems are expected to be always-on by providing services to end-users, regardless of time and location. This is particularly important for organizations and industries where information systems support real-time operations and mission-critical applications that need to be available on 24  7  365 basis. Examples of such entities include process industries, telecommunications, healthcare, energy, banking, electronic commerce and a variety of cloud services. This article
more » ... s. This article presents a modified Bayesian Belief Network model for predicting information system availability, introduced initially by Franke, U. and Johnson, P. (in article "Availability of enterprise IT systemsan expert-based Bayesian model". Software Quality Journal 20(2), 369-394, 2012) based on a thorough review of several dimensions of the information system availability, we proposed a modified set of determinants. The model is parameterized by using probability elicitation process with the participation of experts from the financial sector of Bosnia and Herzegovina. The model validation was performed using Monte-Carlo simulation. KEY WORDS information systems, business continuity, availability, Bayesian belief network, Monte-Carlo simulation CLASSIFICATION JEL: D83
doi:10.7906/indecs.14.2.2 fatcat:wypwkp6nqvhwfia6gxgjmz6wd4