Availability of enterprise IT systems: an expert-based Bayesian framework

Ensuring the availability of enterprise IT systems is a challenging task. The factors that can bring systems down are numerous, and their impact on various system architectures is difficult to predict. At the same time, maintaining high availability is crucial in many applications, ranging from cont...

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Vydáno v:Software quality journal Ročník 20; číslo 2; s. 369 - 394
Hlavní autoři: Franke, Ulrik, Johnson, Pontus, König, Johan, Marcks von Würtemberg, Liv
Médium: Journal Article
Jazyk:angličtina
Vydáno: Boston Springer US 01.06.2012
Springer Nature B.V
Témata:
Architecture
Availability
Bayesian analysis
Bayesian networks
Blocking
Compilers
Computer networks
Computer Science
Cost estimates
Data Structures and Information Theory
Decision analysis
Downtime
Electric power
Electricity distribution
Electronic trading systems
Electronics
Expert elicitation
Fault tolerance
High availability
Information systems
Information technology
Infrastructure
Interpreters
Mathematical models
Noisy-OR
Operating Systems
Programming Languages
Software development
Software Engineering/Programming and Operating Systems
Software quality
Software reliability
Stock exchanges
Studies
Systems availability
Systems availability
Noisy-OR
Bayesian networks
High availability
Expert elicitation
Downtime
ISSN:0963-9314, 1573-1367, 1573-1367
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Shrnutí:Ensuring the availability of enterprise IT systems is a challenging task. The factors that can bring systems down are numerous, and their impact on various system architectures is difficult to predict. At the same time, maintaining high availability is crucial in many applications, ranging from control systems in the electric power grid, over electronic trading systems on the stock market to specialized command and control systems for military and civilian purposes. This paper describes a Bayesian decision support model, designed to help enterprise IT system decision-makers evaluate the consequences of their decisions by analyzing various scenarios. The model is based on expert elicitation from 50 experts on IT systems availability, obtained through an electronic survey. The Bayesian model uses a leaky Noisy-OR method to weigh together the expert opinions on 16 factors affecting systems availability. Using this model, the effect of changes to a system can be estimated beforehand, providing decision support for improvement of enterprise IT systems availability. The Bayesian model thus obtained is then integrated within a standard, reliability block diagram-style, mathematical model for assessing availability on the architecture level. In this model, the IT systems play the role of building blocks. The overall assessment framework thus addresses measures to ensure high availability both on the level of individual systems and on the level of the entire enterprise architecture. Examples are presented to illustrate how the framework can be used by practitioners aiming to ensure high availability.
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ISSN:0963-9314
1573-1367
1573-1367
DOI:10.1007/s11219-011-9141-z