FIST GEOINFORMATION SYSTEM MODEL USING FOG COMPUTING IN DESTABILIZATION

Autor: V. V. Gryzunov
Jazyk: ruština
Rok vydání: 2021
Předmět:
Zdroj: Вестник Дагестанского государственного технического университета: Технические науки, Vol 48, Iss 1, Pp 76-89 (2021)
Druh dokumentu: article
ISSN: 2073-6185
2542-095X
DOI: 10.21822/2073-6185-2021-48-1-76-89
Popis: Objective. The objective of the study is to develop a model of a geoinformation system functioning in destabilization, as well as indicators that assess the ability of a geoinformation system to perform its functions in destabilization. Methods. Geographic information systems are becoming an integral part of almost all information and decision-making systems. The research methods are based on a deterministic or stochastic model of destabilization, but the geographic information system is characterized by a non-stochastic model. Results. It is shown that any task exists in the geoinformation system in the form of consumption of four types of performance: computers, storage devices, communication channels, input/output devices. Based on this, a model of the geoinformation system (FIST – Full Infrastructure of Sources Toolkit) was developed, which allows evaluating the "margin of safety" of the geoinformation system, expressed in the available performance of all four types. The model considers elements of different degrees of mobility and performance and is suitable for describing classical, cloud, and fog geoinformation systems. An example of the model operation in destabilization is given. A theorem on the independence of events of solving problems for any directed graph is formulated and proved. Based on the model, integral and differential efficiency indicators are proposed. The integrated indicator characterizes the share of tasks solved over a time interval; the differential indicator characterizes the "performance margin." Conclusion. The developed model and performance indicators can be used to design new and evaluate existing geographic information systems.
Databáze: Directory of Open Access Journals