This paper surveys the contributions and applications of queueing theory in the field of banking data networks. We start by highlighting the history of IT and banks and we continue by providing information regarding the main prudential regulations on the banking area as Basel Accords and green IT regulations, that on one side generate more computing needs and on the other side promote conscientious use of the existing IT systems.
Continuing with a background of the network technologies used in Economics, the focus will be on the queueing theory, describing and giving an overview of the most important queueing models used in economical informatics. While the queueing theory is characterized by its practical, intuitive and subtle attributes, the queueing models are described by a set of 3 factors: an input process, a service process and a physical configuration of the queue or the queueing discipline.
The Erlang B and C mathematical definitions of formulas for a specific number of s servers, at the λ arrival rate, and the τ average service time will be described, used and confirmed by computer simulations of real queues usually found in the banking computing systems.
The goal is to provide sufficient information to computer performance analysts who are interested in using the queueing theory 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.