Distributed Information Systems Research Articles

МОДЕЛИРОВАНИЕ УГРОЗ БЕЗОПАСНОСТИ ИНФОРМАЦИИ В ТЕРРИТОРИАЛЬНО-РАСПРЕДЕЛЕННЫХ ИНФОРМАЦИОННЫХ СИСТЕМАХ

Introduction: in the design of information security systems importance is the modeling of security threats, which implies the definition of a list of software threats to the information system, on the basis of which decisions are made to neutralize actual threats. Today the number of urgent threats to information security is increasing, due to the complexity of the infrastructure, information processing technologies, and unprotected communication channels. In this regard, the goal is to simulate security threats in geographically distributed information systems. The analysis of foreign and Russian methodologies for threat modeling showed problems associated with a large amount of data for modeling, as well as expert methods. It has been established that to solve the problem posed use machine learning methods, the theory of adaptive fuzzy neural production systems with fuzzy inference algorithms and the use of Data Science technologies when processing large amounts of data. The paper uses such data protection methods as data protection tools, based on fuzzy neural security systems, it is proposed to determine the actual threats to information security. The proposed methodology is automated and hypothetically eliminates expert errors, increases the number of frequently used topical threats to information security, reduces financial costs for the purchase of information security tools, differs in that the process is automated, has low computational complexity, there is no need attracting highly qualified specialists, allows you to determine the list of actual threats in systems of various types and classes, can be adapted to work with databases. The practical significance lies in the automation of the process — the development of a computer program that implements the proposed methodology. Discussion: further research is advisable to continue determining the best parameters of adaptive fuzzy neural production systems and fuzzy inference algorithms.

Conceptual model of a data transmission network for a polymodal control system in critical state infrastructure

Approaches to modeling a data transmission network in a remotely controlled system for distributed critical state facilities are considered in the article. To solve the problem of increasing the efficiency of channel resource costs, a new analytical model of the information distribution system from the standpoint of teletraffic theory is proposed. The model describes the service of extraordinary calls with absolute priorities, failures and gradient reservation of the channel resource for messages of modalities with the characteristics of operators in the data transmission network of critical facilities.

Mathematical model for optimizing distributed information systems

An approach to optimizing distributed information systems is discussed in this paper. An argument explaining the demand for such distributed information systems nowadays is presented as well. The topic is crucial because it is impossible to find an optimal solution due to the curse of dimensionality of an NP-complete problem. The problem of data distribution by nodes of a distributed information system was defined. A mathematical model for optimizing distributed information systems was developed to solve the problem. In Stage 1 an analysis of criteria optimization of resource distribution among distributed information systems was carried out. The following definitions were established in this paper: information entity, attribute of the entity, distributed database. From the perspective of distributing entities among nodes a distributed information system was determined. As a result of describing elements of the mathematical model, a function of information flows was obtained. The function deals with data flows during distributed query execution. Including certain restrictions, such as the prohibition of hosting one entity on different nodes, the problem of distributing entities among nodes is presented. It is established that the problem of distributing resources is related to integer programming which, by itself, is concerned with optimizing distributed database structures, where the objective function indirectly depends on the variable of distribution and presence of restrictions.

Research on Cloud Architecture of Enterprise Distributed Business Information System Based on SOA

The current SOA-based Enterprise Distributed Business Information System has poor scalability and low utilization, in order to solve this problem, this article analyzes the possibility of integration between Cloud Computing and SOA after telling the similarities between the two. We proposed a SOA-based Cloud architecture model, and applied it to Enterprise Distributed Information Systems, and proposed SOA-based Enterprise Distributed Business Information System Cloud Architecture Conceptual Model and Operating Model. This scheme can well solve the problems of the current system, and can greatly improve the quality and efficiency of system development, and has guiding significance for the development direction of enterprise information systems.

USING THE RESOURCES OF A DISTRIBUTED INFORMATION SYSTEM FOR SOLVING APPLIED PROBLEMS

The process of designing and creating an integrated distributed information system for storing digitized works of scientists of research institutes of the academic city of Almaty, carried out within the framework of the grant project of the Ministry of Education and Science of the Republic of Kazakhstan AP05131806. The requirements for the storage of digital objects are defined. The system fully provides the necessary computing resources for ongoing research and educational processes, simplifying the prospect of its further development, and allows to build an advanced IT infrastructure for managing intellectual capital, an electronic library that is intended to store all books and scientific works of the Kazakhstan Engineering Technological University and research institutes of the Almaty academic city.

Забезпечення доступності інформації у центрі обробки даних військового призначення на основі балансу продуктивності системи

Informatization of the Armed Forces of Ukraine involves the creation of information infrastructure and implementation of elements of the Unified Automated Management System of the Armed Forces of Ukraine. Data Processing Centers (DPCs) should become the software and hardware basis and the main component of the information infrastructure of the Ministry of Defense of Ukraine. In this regard, the performance indicators of the data center, such as its capacity and response time are important. Among the many factors affected by these indicators, the availability of information is more important. Accessibility of information means the state in which users who have access rights to information can implement them without hindrance. Access rights include: the right to read, modify, store, copy, destroy information. The current practice of assessing the performance of a Distributed Data Center Information System (DDCI) has only indicative character. The most rational approach to obtaining calculations of DDCI is the use of prognostic models. Knowing the DDCI performance forecast, you can predict the behavior of the system in different operating conditions and ensuring the availability of information in Data Center. The aim of the article is to develop an approach to ensure the availability of information to the data center based on the assessment of the balance of system performance. Modeling a Distributed Information System by the key performance indicators confirms the truth of the proposed approach and allows you to clearly assess the relationship between key performance indicators, the balance of which is the basis for ensuring the availability of information.

Проектирование базы данных метеорологической информации для прогнозирования и кластеризации в microgrid-системе

To build Microgrid systems, it is necessary to obtain data from the meteorological service, process them and make decisions about which source of electricity is advisable to use at a given time of day, season, under current weather conditions. The aim of the study is to develop and create a distributed information system database for cluster analysis, processing and storage of incoming meteorological data, a weather forecasting algorithm based on the values of the selected indicators to further determine the type of alternative energy sources used based on the forecast. The article describes designed and implemented distributed information system for reading from the Internet, storing and further processing meteorological data for any region with the aim of forecasting for the effective use of renewable energy sources in Microgrid system. The project is implemented on the basis of a relational database Microsoft SQL Server. Each of the tables has fields that describe the weather conditions necessary to solve the task – to determine the source of electricity, the use of which is cost-effective in a given period of the year, time of day, geographical location and weather conditions. The application that operates with a database has been developed in C # according to the Windows Forms Application template. The distribution of temperature indicators is realized depending on the time of the conducted research for a certain period using cluster analysis. Forecasting weather data is performed using an autoregressive time series model. The user interface was created with Microsoft Visual Studio tools. All data processing is performed on the local server side.

INTRODUCTION OF DRUG MOVEMENT MONITORING IN BUSINESS PROCESSES OF PHARMACY ORGANIZATIONS

The purpose of this article is to provide an overview of current innovations in the field of monitoring the movement of drugs, since today the pharmaceutical industry is faced with the problem of high costs for the introduction of a drug tracking system throughout the entire circulation chain. The relevance of this topic is the introduction of digital technologies into the business processes of pharmacy and fragmentation of organizational responsibilities when working with the system of monitoring the movement of drugs. As methods of scientific research, an in-depth analysis of the scientific literature and a case study was used, which provides a comprehensive consideration of the distribution system of information on the movement of drugs and the subsequent determination of its practical value for the pharmaceutical industry. The pharmaceutical industry needs innovative technological solutions that allow the rational use of drug tracking systems. Due to the entry of new companies into the pharmaceutical market, there is a need to differentiate services for attracting and retaining customers, the drug monitoring system, if correctly implemented in business processes, can increase customer satisfaction by replacing several outdated pharmacy management systems with a single system. The result of the scientific work presented in the case study shows that from a practical point of view, drug movement monitoring provides tools for drug circulation entities to introduce innovations in information distribution systems using digital technologies. Consideration of the problem provides concepts for the competitive development of the fundamental sector. In the long term, data monitoring will help reduce the loss of pharmaceuticals in warehouses, increase the transparency of inventories in pharmacies, and reduce the number of counterfeit drugs.

Türkiye’de Banka ve Kredi Kartı Harcamalarının Reel Döviz Kuru Üzerindeki Etkisi: VAR Analizi ve Toda-Yamamoto Nedensellik Testi

Döviz kuru, özellikle küreselleşme eğiliminin artması ile birlikte makroekonomik alanda önemli bir belirleyici haline gelmiştir. Bu anlamda, döviz kurlarının oluşumunu ya da değişmesini etkileyen etmenleri belirleyip, bu doğrultuda döviz kuru politikaları izlemek son derece önemlidir. Bu çalışmanın amacı, banka ve kredi kartı harcama tutarı ile reel döviz kuru arasındaki ilişkiyi incelemektir. Bu bağlamda, kur üzerine yapılan çalışmaların bulgularına göre reel döviz kurunu en fazla etkileyen diğer bağımsız değişkenler de modele dâhil edilmiştir. Çalışmada; bağımsız değişken olarak enflasyon oranları (TÜFE, yıllık % değişim), Merkez Bankası brüt döviz rezervleri, M2 para arzı, işsizlik oranı, faiz oranı için vekil değişken olarak Türkiye Cumhuriyet Merkez Bankası (TCMB) ortalama fonlama maliyeti, banka ve kredi kartı harcama tutarı kullanılırken bağımlı değişken olarak ise TÜFE bazlı reel efektif döviz kuru kullanılmıştır. Verilerin tümü TCMB Elektronik Veri Dağıtım Sistemi’nden temin edilmiştir. Çalışmada 2014:3-2019:5 dönemini kapsayan aylık veriler kullanılmıştır. Çalışma, temel olarak zaman serisi analizine dayanmaktadır. Bu anlamda Genişletilmiş Dickey-Fuller testi kullanılarak değişkenlerin durağanlık dereceleri belirlenmiştir. Sonrasında, ARDL sınır testi analizi gerçekleştirilerek reel efektif döviz kuru ile modelde kullanılan bağımsız değişkenler arasında uzun dönemli ilişki olmadığı sonucuna varılmıştır. Ardından modelin uygun gecikme uzunluğu belirlenmiş ve modele VAR analizi uygulanmıştır. İlaveten, değişkenler arasındaki nedensellik ilişkisini analiz etmek için Toda-Yamamoto nedensellik testi kullanılmıştır. Çalışma sonucunda, kart harcamalarından döviz kuruna doğru tek yönlü bir ilişki saptanmıştır. Buna karşın; döviz kurundan kart harcamalarına doğru doğrudan bir nedensellik ilişkisi bulunamamıştır. Çalışmada ulaşılan sonuçlar, daha önce yapılan çalışmalar ile de tutarlıdır. Ayrıca bu çalışma, Türkiye’de banka ve kredi kartı harcama tutarı ile reel döviz kuru arasındaki ilişkiyi incelemesi bakımından daha önce yapılan çalışmalardan farklılaşmakta ve bu yönüyle literatüre katkı sağlamaktadır.

A Methodology of Constructing a Distributed Information System for Searching for Scientific and Technical Information Based on an Object Data Model

A methodology of organizing the search for scientific and technical information and the creation of an appropriate information retrieval system is considered. The methodological basis is the three-level hierarchical structure of ontologies. The first level forms the conceptual apparatus of the subject area, the second level details the terminology of a specific area of scientific knowledge. Ontologies of the third level are focused on a specific scientific direction, they allow one to structure objects and research methods, as well as the scientific result and practical value of a scientific publication. An object data model is used. The basics of the language of information queries are proposed.

ПІДХІД НЕЧІТКОЇ КЛАСТЕРИЗАЦІЇ В РОЗПОДІЛЕНИХ ІНФОРМАЦІЙНИХ СИСТЕМАХ АВІАЦІЙНИХ ДВИГУНІВ

The article is devoted to the development of systematic approaches for the construction of a distributed information system (DIS) of aviation gas turbine engines (GTE). It is determined that the use of CALS-technologies (Continuous Acquisition and Life-Cycle Support), which should ensure the competitiveness of products on the world market, is essential for the integration of the aircraft engine industry into the world community of developers and manufacturers. The relevance of the use of CALS-technologies is due to the fact that today, in accordance with market requirements, the world's leading companies have set deadlines for the creation of a new design of the civil aviation engine of the fifth and sixth generations. The block-modular principle of engine construction - mathematical models and software - with the satisfaction of the criteria of divergence, transformation, and convergence has been considered. For a simplified search of the optimal technology for building a distributed information system of an aviation engine, the use of a fuzzy clustering approach is proposed, which is a design method with finding new knowledge about the gas turbine engine with highly efficient performance. By identifying methods of knowledge analysis and basic methods of clustering, that are K-means, graph clustering algorithms, algorithms of the FOREL family, hierarchical clustering, Kohonen neural network, algorithms of the KRAB family, fuzzy mean algorithms, subtractive, the application clustering in distributed information systems of aviation engines have been determined. For the convenient implementation of the defined method, a set of data objects of the GTE information system, which are contained in the experimental files, are considered. According to the results of the fuzzy clustering procedure, the coordinates of the class centers, the belonging of each data set to the classes, the values of the objective function, which have an approximate character, and are used for preliminary structuring of the data, are fixed. After research, it was determined that the integration of clustering algorithms should help build a more accurate model of the gas turbine engine and increase its speed.

The interstellar communication relay

AbstractThe paper describes the architecture for a data repository and distribution system to be used in the case of a SETI detection event. This system is conceptually modelled after the Deep Space Network, although the hardware and infrastructure involved are different and substantially less expensive to operate. The system is designed to accommodate a large number of users from a variety of fields who wish to contribute to the analysis and comprehension effort that would follow the detection of an information-bearing signal.

DDS : A Solution to Network Centric Warfare

The Open Management Group Data Distribution Service ( OMG DDS ) is a standard for publish-subscribe data distribution systems which is emerging as a specification for data exchange. It is a type of Message Oriented Middleware ( MOM ) that provides various functionalities such as portability and interoperability across many DDS implementations. In this, we create models which are platform independent. One platform can be mapped to others. These platforms can be in different programming languages. The existing issues with this technology include its inability to support request-reply services, file transfer and transaction processing. These issues can be considered as research work for future. Nowadays, there is always a need to exchange data among several communication machines instead of just a single machine. DDS caters this need by allowing data to be sent and received in a distributed environment. While doing so, the various security issues related to data integrity and loss of data are also taken into consideration. In this paper, Data Distribution Service ( DDS ) has been implemented to be used in network centric warfare, in three programming languages i.e Java, C and C++ in order to allow for cross language communication without any loss of data on a standalone mode .Data can also be exchanged between several machines in a distributed environment.

Service quality evaluation of satellite data distribution system based on BP‐IPA

AbstractWith the remarkable advances in remote sensing technology, remote sensing data collected by satellites play an important role in many application domains, in particular the smart city. The service quality of satellite data distribution systems (SDDS) is vital for both administrators and end users. Therefore, it is of practical significance to fully understand the factors that affect the satellite data distribution service. Based on prior studies of e‐service quality evaluation and the characteristics of the satellite data, a multidimensional and multi‐level service quality evaluation model of the SDDS is proposed. A questionnaire was designed based on the proposed model to collect users' evaluation data. Backpropagation neural network was employed to examine whether and how factors in the proposed model affect the overall service quality. The results were interpreted using importance and performance analysis to assess the relationship between the keys of service quality of the SDDS and the overall service quality. Findings have important managerial implications for the quality management of the SDDS.

ФОРМУВАННЯ ПОЛІТИКИ ЦІНОУТВОРЕННЯ ДЛЯ ГОТЕЛЬНО-РЕСТОРАНИХ КОМПЛЕКСІВ ЗАСОБАМИ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ

The paper explores the tools of travel distribution information systems for decision-making concerning pricing of hotel and restaurant complex (HRC), the purpose of which is to use open data to form the optimal price of hotel rooms. The development of the tour program takes into account many factors (travel route, list of partner travel companies, list and composition of services provided during the tour, range of entertainment activities, etc.) developed for tourists using such information as systems Saber, AMADEUS, Galileo, Worldspan. By modeling pricing through the means of RStudio software tool for hotel and restaurant complexes using the open data of the Booking and g.port system, it was obtained that a better pricing forecast for the Zaliznyy Port HRC allows the resource g.port, which is more popular in this market segment due to more attractive financial conditions for the owners of HRC. Substantial price differentiation on Booking worsens the quality of the price forecasting. The coefficient of determination for pricing model on Booking is 33%, while on g.port is 71%. Among the main influencing factors that are statistically significant are the distance to the sea, the comfort of the room and the availability of a swimming pool. Estimated average room price with and without kitchen and confidence interval for the forecast price based on open data for Booking and g.port. Prepared recommendations for the formation of pricing taking into account statistically significant factors. Price of vacation package will decrease on 1,34 UAH if at the distance to the sea increase on 1 meter. Price of vacation package will increase on 1641 UAH if there are conditions in the room. Dummy variable (the presence of a swimming pool) will increase on about 966 UAH if hotel includes swimming pool. Average room price will be 9,537 UAH for a room with a kitchen and 6,228 UAH for a room without a kitchen. With a probability of 95% price confidence interval will vary from 7750 UAH up to 11636 UAH for g.port for a room with a kitchen and from 4979 UAH up to 7792 UAH for a room without a kitchen. Using Booking.com Analytics or other open data, we can access big data that reflect sales level in the hotel. This data can help to form the optimal price per room.

Information System of Roof Tiles Production and Distribution

Currently, leading companies, especially in the roof tile industry, are still using manual systems in the process of production and transactions data collection activities, which made many errors and loss of data occurred. To overcome this, production and distribution information systems which aims to help and facilitate performance in producing and selling are created. The methodology used in making goods delivery information systems is Descriptive qualitative method, Object method is used as the approach, and Prototype is used as system development. The tools used in this research are Use case diagram, Scenario Diagram, Activity Diagram, Sequence Diagram, Class Diagram, Deployment Diagram, and Component Diagram. The results of this research application are made in the form of production, ordering, payment and delivery processes. This research is expected to be able to assist in providing the required information quickly and accurately, as well as able to increase the company revenue.

Application of Web-Based in Product Distribution using Unified Modelling Language

Product distribution is an activity that facilitates the distribution of products from producers to consumers. The product distribution process using agents has accelerate and simplify the product to reach the consumers. The problem is how to deliver the information to the company with effective and effecient ways. The information contents like inventory stock, purchase order, delivery order and billing system. The purpose of research is to overcome problem of the company by provides the application on web based. We used the prototype method as system development and UML (Unified Modelling Language) as a blueprint design of applications. In this study, we used four diagrams like use-case diagram, class diagram, deployment diagram, and component diagram to figure out the design of application. The software testing step has used a black box method. The results of this research is an application that allows agents to order products to companies, manage the availability of products in warehouse, facilitates warehouse delivery of products, provides accurate financial transactions, and various reports as required. Product distribution information systems can improve the company performance and expand marketing of product by facilitating interaction between companies and agents.

Большие данные и цифровая экономика

In this paper, Big Data is considered as an "umbrella" term that combines various concepts, technologies and methods of data processing in distributed information systems that provide a qualitatively new useful information (new knowledge). The stages of "standard" research in the Big Data approach are described. A brief description of the Big Data ecosystem, which consists of several main categories, is given. Various projects and initiatives at the national and international levels are considered, as well as examples of the use of Big Data in business, economy, and society. As concrete examples of the construction and use of analytical platforms for Big Data, successful socio-economic research carried out by the authors as part of research teams at the Plekhanov Russian University of Economics is presented. The Big data metaphor is certainly successful, since it naturally connects a complex of concepts, technologies and methods of Big data with the economy by hinting at a connection with other well-known metaphors –"Big oil", "Big ore", etc.

SISTEM INFORMASI PENDISTRIBUSIAN BARANG PADA PT. SAMPURNA SUKSES UTAMA ACEH BESAR

Goods Distribution Information System is one of the data processing activities at PT. Sampurna Sukses Utama Aceh Besar, to get information about the distribution of goods to be more directed and easily obtained. In this study, the authors only discuss the problem of goods distribution and data management mechanisms of PT. Sampurna Sukses Utama Aceh Besar and designed the Information Distribution System for PT. Sampurna Sukses Utama Aceh Besar by using Visual BASIC.NET. The purpose of writing is to understand the problem of Information Systems Distribution of Goods at PT. Sampurna Sukses Utama Aceh Besar as well as making aids application on the Information System of Goods Distribution at PT. Sampurna Sukses Utama Aceh Besar uses Microsoft Visual BASIC.NET. Data collection needed in writing this report was obtained by two methods, namely a literature study relating to the literature of library books and other scientific works, field studies by carrying out interviews, and direct observation of objects related to this research. The Goods Distribution Information System is carried out by one of the administrative staff and is assisted by 2 (two) administrative, warehouse, and financial administration staff to record and input the distribution of goods. From the results of the study, it can be concluded that the Goods Distribution Information System has followed the procedure and uses a computer with Visual BASIC.NET programming language and Microsoft Access 2010 as its database.

Opportunities at the intersection of work and health: Developing the occupational data for health information model.

The study sought to develop an information model of data describing a person's work for use by health information technology (IT) systems to support clinical care, population health, and public health. Researchers from the National Institute for Occupational Safety and Health worked with stakeholders to define relationships and structure, vocabulary, and interoperability standards that would be useful and collectable in health IT systems. The Occupational Data for Health (ODH) information model illustrates relationships and attributes for a person's employment status, retirement dates, past and present jobs, usual work, and combat zone periods. Key data about the work of a household member that could be relevant to the health of a minor were also modeled. Existing occupation and industry classification systems were extended to create more detailed value sets that enable self-reporting and support patient care. An ODH code system, available in the Public Health Information Network Vocabulary Access and Distribution System, was established to identify the remaining value sets. ODH templates were prepared in all 3 Health Level 7 Internationalinteroperability standard formats. The ODH information model suggests data elements ready for use by health IT systems in the United States. As new data elements and values are better defined and refined by stakeholders and feedback is obtained through experience using ODH in clinical settings, the model will be updated. The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health.