Research of deployment models of cloud technologies for banking information systems
Baglai Roman ()
Additional contact information
Baglai Roman: Kyiv National University of Trade and Economics
Technology audit and production reserves, 3(41) 2018, 2018, vol. 3, issue 4(41), 47-52
The object of research is banking information technology (IT). One of the most problematic issues is the low efficiency of using hardware resources and, as a result, high costs and time spent on maintaining and developing banking information systems (IS). The use of cloud technologies, especially with the use of the public cloud deployment model, can greatly enhance the economic efficiency of banking IT. In addition, there is an increase in the availability, flexibility and scalability of banking IT, as well as the time to market, (TTM). In the course of the study, quantitative and qualitative indicators of the functioning of banking IS were used. An analysis of modern approaches to building a service-oriented architecture of banking IS based on cloud technologies was conducted in scope of the research. The article describes the architectural solution of information technologies for the introduction of automated banking IS taking into account the requirements of the National Bank of Ukraine and European regulators. The analysis of the main banking systems and the expediency of using different models of cloud technologies deployment are analyzed. The result obtained in quantitative parameters of the system load allows to find additional reserves for optimization of time processing of information and increase economic efficiency using the Public cloud. The greatest effect can be achieved by applying this model to the Core Banking System (CBS). In order to comply with the requirements and to take into account restrictions on the placement of client data, the article proposes a mechanism for depersonalization. This ensures the possibility of obtaining the most optimal values of indicators. Compared to similar well-known services, such as virtualization, it benefits because there is no need to purchase, or lease hardware, and the computing power can be scaled in a much wider range.
Keywords: bank architecture; cloud technology; banking information systems; Core Banking System (search for similar items in EconPapers)
JEL-codes: M15 (search for similar items in EconPapers)
References: View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:nos:syljne:6
Access Statistics for this article
More articles in Technology audit and production reserves, 3(41) 2018 from Socionet, Technology audit and production reserves
Bibliographic data for series maintained by Алина Макаренко ().