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Abstract:
This paper surveys the contributions and applications of mathematical forecast models in the field of banking data networks. The most important models (mathematical forecast models, queueing models and benchmark models) will be described will be described, used and confirmed by computer simulations of real queues usually found in the banking computing systems. The focus of this paper will be the mathematical forecast models. These are based on the probabilities theory and mathematical statistics, and some direct applications in the IT industry will be pointed out. The goal is to provide sufficient information to computer performance analysts who are interested in using the mathematical forecast to model a network of banking computer systems using the right simulation model applied in real-life scenarios, e.g. overcoming the negative impacts of the European banking regulations while moving towards green computing.
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