Abstract
The main purpose of this paper is to assess the system reliability of electronic transaction data transmissions made by commercial banks in terms of stochastic flow network. System reliability is defined as the probability of demand satisfaction and it can be used to measure quality of service. In this paper, we study the system reliability of data transmission from the headquarters of a commercial bank to its multiple branches. The network structure of the bank and the probability of successful data transmission are obtained through the collection of real data. The system reliability, calculated using the minimal path method and the recursive sum of disjoint products algorithm, provides banking managers with a view to comprehend the current state of the entire system. Besides, the system reliability can be used not only as a measurement of quality of service, but also an improvement reference of the system by adopting sensitivity analysis.
Highlights
“The safest building of 99.999% reliability is ruined by a 0.001% small fire—True reason for breakdown of Facebook and Yahoo on February 25.” This is the cover title of the 1320th Taiwan Business Week [1]
Modern commercial banks provide diversified services, which focus on electronic transaction platforms that are safe, quick, convenient, and simple and are not constrained by time and distance
The probability that the system can transmit a specified demand is defined as system reliability (SR), which is a performance indicator used for measuring data transmission in service level agreement (SLA) [3, 5,6,7]
Summary
“The safest building of 99.999% reliability is ruined by a 0.001% small fire—True reason for breakdown of Facebook and Yahoo on February 25.” This is the cover title of the 1320th Taiwan Business Week [1]. The network-switching center passed TruSecure certification, a small fire caused a failure in the power supply, internet, safety, fire control, and air-conditioning areas of the building This breakdown lasted 17 hours and several businesses, including commercial banks performing network transactions, were seriously affected. Before evaluating the SR, it is necessary to first ascertain the state of system Practical systems, such as internet, traffic, and power systems, can be constructed as a network consisting of nodes and edges. In these situations, each edge and node in the network may have a certain transmission capacity, and this is typically referred to as a data-flow network. A computer network characterized by such edges and nodes has stochastic capacities, making it a typical SFN
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