This paper presents a concept, developed and tested by the authors, of a virtualisation environment enabling the protection of aggregated data through the use of high availability (HA) of IT systems. The presented solution allows securing the central database system and virtualised server machines by using a scalable environment consisting of physical servers and disk arrays. The authors of this paper focus on ensuring the continuity of system operation and on minimising the risk of failures related to the availability of the operational data analysis system.
The following article deals with the topic of Rail Traffic Control systems, focusing on the aspects of registration and acquisition of operational data. In the first part of the text, the authors focused on describing what SRK systems are, and how they can be modernized in order to increase security. At the beginning of the study, the authors presented a railway transport called "High Speed railways". The KDP had a big influence on the development of SRK systems. In the further part of the article, the authors focused on the possibility of recording operating data of individual systems and presented the ETCS system, which is a European project aimed at standardizing systems for Railway Traffic Control.
This article discusses the issues of operating data in national and European Rail Traffic Control systems, i.e. in the ERTMS / ETCS and SRK systems. The article presents the possibilities and limitations of ERTMS systems. General principles of system implementation are also given, as well as specific functional levels of the Rail Traffic Control System are presented. The article describes and presents operational data related directly to the railway systems, which are based on the standard described in document E-1758. The article draws attention to the complexity of Rail Traffic Control processes, as well as the fact that it is necessary to modernize solutions that in the coming years will be a real challenge for the railway industry..
The following article shows how to use large data sets using logistic data using radio frequency identification (RFID) technology. First of all, the so-called RFID-Cuboids processors are introduced to create a data warehouse so that logistics data managed via RFID technology can be highly integrated in terms of specific logic and operations. Second, the tables are used to combine r data to increase information quality and reduce the data set volume.
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