Challenges of Capacity Modelling in Complex IT Architectures

As internal cloud, and cloud technologies widespread among companies, the responsibility of providing reliable IT infrastructure and adequate capacities became the top priority for companies. While internal clouds and related technologies creates the flexibility for customer, limited IT resources arise problems for providing capacities, that has impact on IT service quality. The presented research addressing this problem, and seeks creating models describing the relationship between IT service quality and background infrastructure capacity usage with two distinct methodologies, in a complex cloud-like environment of a financial institution. The research was analysed a pilot area of a widely used electronic banking service. As multivariate statistical modelling and hypothesis testing had limited results in phase 1, but in phase 2 further modelling opportunities were explored, a model based neural networks were developed. The research analyses the limitations of pure statistical analysis in cloud-like environments, but concludes to the usability of alternative methods.