Distributed Information Systems Research Articles

Adoption of Quantum Computing in Economic Analysis: Potential and Challenges in Distributed Information Systems

INTRODUCTION: Quantum computing technology has become a center of attention in various scientific disciplines, including economic analysis. The adoption of quantum computing in economic analysis offers tremendous potential to improve the processing of complex economic data and provide deep insights. However, the use of quantum technology in the context of distributed information systems also raises several challenges, including data security and the limitations of quantum technology. OBJECTIVE: This research aims to investigate the implications of adopting quantum computing in economic analysis, with a focus on distributed information systems. METHODS: This research was carried out using a descriptive qualitative approach, with data derived from the results of relevant research and previous studies. The collected data will be processed and analyzed to gain a deeper understanding of the adoption of quantum computing in economic analysis in distributed information systems. RESULTS: This research then finds that the adoption of quantum computing in economic analysis has the potential to increase efficiency, accuracy, and depth of economic insight. However, limitations of current quantum technologies, including quantum errors, limited scale of operations, and data security issues, limit their applications. In the long term, research and development will be key to overcoming these obstacles and maximizing the potential of this technology in economic analysis. CONCLUSION: The long-term implications include increased economic competitiveness and significant changes in the way economic decision-making is carried out, assuming that ethical and regulatory issues are also carefully considered.

Cloud Key-Value Storage

The paper represents all the stages of designing, architecting, and developing cloud-based key-value storage. This work aims to bring new approaches to distributed data systems. The authors focus on the security and productivity of the project as well as security and maintainability. The authors have studied the use of hash tables in a multi-threaded environment. Architectural approaches and tools have been described. The general structure of the key-value storage server has been presented. The server algorithm has been presented. Our research delves into the intricate nuances of utilizing hash tables in a multi-threaded environment, shedding light on the intricacies and challenges of managing concurrent access to key-value data structures. The authors have explored the trade-offs between lock-free designs and traditional locking approaches.

Повышение производительности и отказоустойчивости схемотехнических САПР на основе методов диакоптики и автоматизации управления мультитенатными компонентами

An approach to building automated control of multi-tenant components of information systems is described. The main advantages of using discretizing multi-tenant shells for building distributed information systems are reflected and justified. Methods for managing the infrastructure of a distributed system as a code are given. Technologies and their settings for automating management at different stages of the life cycle of a software system built on the basis of discretizing multi-tenant shells are presented. The solution to the problem of dual use of the process manager in a container based on the Linux operating system in a manual and automated version in the context of managing life cycle stages using the CI / CD approach is described. A technique for modeling weakly coupled electronic circuits based on the technology of calculating large electronic circuits in parts is proposed, by selecting weakly coupled subcircuits between which there are no inductive connections and the condition for the concentration of control and controlled variable dependent sources within a separate subcircuit is met. It is shown that the implementation of the diacoptic approach to modeling large loosely coupled circuits significantly increases the productivity of the computational process, which is especially important in the development of distributed computer-aided design systems. It is proposed to build and transform the description of the simulated circuit to use generalized signal graphs that display the equations of the circuit in a generalized cause-and-effect form.

Geographic Information System for Customer Distribution in PT. Dinamika Lubsindo Utama Using the Haversine Algorithm

This research was conducted because the distribution of customers who do not have accurate location information results in couriers who will deliver products often traveling long distances to get to the location of customers who make orders because they repeat routes that have been taken previously. The research problem formulation revolves around implementing the Haversine algorithm for calculating the distance between the courier's location and the customer's order location. Additionally, it focuses on designing and constructing a geographic information system for customer distribution, utilizing the Android-based Haversine algorithm. The research method used is Research & Development where researchers will collect information first and develop the system to be built. For system development, the Waterfall method is used. To calculate the distance from the courier's location to the customer's ordering location, the Haversine algorithm is used. From this research, the results obtained are a geographic information system that will provide information on customers who ordered on that day as well as the distance from the courier's location to the location of the customer who made the order using the Android-based Haversine algorithm. The conclusion of this research is that the geographic information system that is built will be able to assist couriers in delivering products to customers who make orders that day. Because the system will sort the customer's location from closest to furthest so that the courier will not repeat the route he has previously taken, making it more effective.

Ensuring security in distributed information systems: major aspects

Ensuring the security of distributed information systems is a critical task since these systems are used primarily to process and store large amounts of sensitive information such as financial data, medical records, personal data, etc. Information in the world is one of the most important resources of society, and without its protection, new information technologies can violate the private life of people and activities of various organizations. In the era of Big Data, the problem of protecting sensitive data is even more aggravated. And this is despite the large global security spending that organizations and companies around the world incur, including in order to meet the requirements of relevant laws and other regulations governing the activities of companies in modern conditions. To solve it, it is necessary to use a combination of legislative, organizational measures and software and hardware. Therefore, in the current situation, taking into account: (a) the current state of development of technologies of distributed information systems and its fleeting nature; (b) scientific and practical achievements in the field of information security; (c) the qualifications of attackers who are constantly improving the capabilities of malicious influence; (d) provisions and recommendations of various regulations-legal acts, information systems specialists in many cases, in order to ensure the reliable safe functioning of the latter, need appropriate knowledge of security issues. That is, knowledge of current modern methods, techniques and means of ensuring security. This paper is precisely aimed at providing such knowledge. It concisely presents a fairly wide range of issues related to the security of distributed information systems.

Ultra reliability and massive connectivity provision in integrated internet of military things (IoMT) based on tactical datalink

One of the major challenges arising in internet of military things (IoMT) is accommodating massive connectivity while providing guaranteed quality of service (QoS) in terms of ultra-high reliability. In this regard, this paper presents a class of code-domain nonorthogonal multiple accesses (NOMAs) for uplink ultra reliable networking of massive IoMT based on tactical datalink such as Link-16 and joint tactical information distribution system (JTIDS). In the considered scenario, a satellite equipped with Nr antennas servers K devices including vehicles, drones, ships, sensors, handset radios, etc. Nonorthogonal coded modulation, a special form of multiple input multiple output (MIMO)-NOMA is proposed. The discussion starts with evaluating the output signal to interference-plus-noise (SINR) of receiver filter, leading to the unveiling of a closed-form expression for overloading systems as the number of users is significantly larger than the number of devices admitted such that massive connectivity is rendered. The expression allows for the development of simple yet successful interference suppression based on power allocation and phase shaping techniques that maximizes the sum rate since it is equivalent to fixed-point programming as can be proved. The proposed design is exemplified by nonlinear modulation schemes such as minimum shift keying (MSK) and Gaussian MSK (GMSK), two pivotal modulation formats in IoMT standards such as Link-16 and JITDS. Numerical results show that near capacity performance is offered. Fortunately, the performance is obtained using simple forward error corrections (FECs) of higher coding rate than existing schemes do, while the transmit power is reduced by 6 dB. The proposed design finds wide applications not only in IoMT but also in deep space communications, where ultra reliability and massive connectivity is a keen concern.

Development of a methodology for the protection of artificial intelligence systems in distributed information systems

This article is devoted to the methodology for the construction of artificial intelligent systems for information security tasks. It is planned to protect the artificial intelligence itself and the information that this device will process. The task is large-scale in its magnitude and the author of this text will try to present not just a concept, but rather an idea of how to achieve the goal of this result. By the result we will understand the final construction of a secure AI created for the organization of information security.

Adoption of blockchain as an open accounting information system in Vietnam: A triple-entry accounting approach

Blockchain technology has emerged as an indispensable force driving economic development across various sectors in Vietnam. However, prior research in the realm of blockchain technology has predominantly focused on areas such as logistics, journalism, and banking, neglecting the pivotal domains of accounting and auditing. Recognizing this theoretical gap and the significant role played by accounting and auditing in economic systems, this paper endeavors to augment our understanding of blockchain technology through the lens of a novel "triple-entry accounting method." Additionally, it seeks to assess the level of acceptance of this potentially transformative innovation within the Vietnamese business landscape. Blockchain, renowned for its decentralized architecture and distributed data system, represents a fundamental departure from conventional accounting practices. It functions as an open accounting information system, wherein data is distributed among multiple computers with identical copies, devoid of central administration but validated by a network of participants. Drawing upon responses from a sample of 225 participants and employing statistical analysis with SPSS, this study investigates attitudes and intentions regarding the adoption of blockchain technology in the field of accounting in Vietnam. The results of this analysis reveal a positive correlation between four variables-perceived usefulness, perceived ease of use, comparability, and complexity-and the attitude toward blockchain application, further positively influencing the intention to use it. However, the variable of Perceived Risk does not exhibit statistical significance. These findings underscore the necessity of establishing intelligent accounting procedures through blockchain adoption and underscore the importance of understanding factors influencing attitudes and intentions to enhance the widespread acceptance of this innovation in the Vietnamese business context.

A Possibilistic Information Fusion-Based Unsupervised Feature Selection Method Using Information Quality Measures

The main goal of most information quality (IQ)-based measures is to combine data provided by multiple information sources to enhance the quality of information essential for decision makers to perform their tasks. However, there is few work to fuse multi-source information from the perspective of possibility distribution (PD) and use IQ as the evaluation criteria for feature selection. The PD is one of important concepts in possibility theory, which is a generally acknowledged method for describing a kind of uncertain knowledge. In this paper, we propose a novel representation model of possibility distributions based on fuzzy multisets, namely, a possibility distribution information system (PDIS). Then, several IQ measures are defined in the PDIS, including Gini entropy, compatibility, conflict, credibility and separability degrees. In view of this, a minimal-separability-minimal-uncertainty-based unsupervised feature selection algorithm (UmSMU) is designed. The proposed UmSMU can sufficiently fuse multiple possibilistic information. Meanwhile, the selected features maintain as much information as possible while minimizing the uncertainty of information. The experimental results show that the proposed algorithm performs well, especially when it comes to selecting fewer features and improving performance.

RANCANG BANGUN APLIKASI PENGADAAN BARANG DISTRIBUSI PADA PT FAMOUS CHICKEN DENGAN MENGGUNAKAN METODE DISTRIBUTOR REQUIREMENT PLANNING (DRP)

<span class="fontstyle0">The need for fast, precise and accurate information is absolute in this fast-paced era. The delay in presenting the required information will cause the information to become irrelevant for its users. Thus, a good system must be able to provide timely information, with accurate and precise data in the processing process.Goods Distribution Information System Through Transporter at PT Super Famous Chicken departs from the company's vision, mission and goals. Namely to be a Goods Distribution Information System through a Transporter at PT Super Famous Chicken that has quality in providing services to the community. Various ways to improve the quality of goods distribution services have been taken, among others by applying the distribution data archiving method which will conduct further studies more efficiently, simplify the transaction data processing, improve the overall quality of resources, and improve the company's accreditation status.This information system will further simplify the processes mentioned above by utilizing data communication network information technology. So that the processing of existing data will be faster and more accurate, and eliminate duplication of data that arises between existing sections.</span> <br /><br />

Web GIS of Tourism: Voyage and Forecast

Web GIS is a kind of distributed information system, which consists of a client and a server, where the server is the GIS server and the client is a web application, desktop application, or mobile application. With the rapid development of technology, increasingly mature GIS technology has been applied in various fields, one of which is tourism. By using a web GIS, reviews related to a tourism object, and tourist locations in a particular area can be easily presented on a website. By utilizing this geographic information system, the potential of tourist attractions and public facilities can be mapped to the maximum, so that tourists can find a place more efficiently and not take long. This study aims to find out the further study the tourism GIS web research over the last 3 years. This study uses the Systematic Literature Review (SLR) method where the search for the required papers comes from an electronic database obtained using the Vos Viewer and Publish or Perish software

Energy Consumption Minimization of Rotary-Wing UAVs for Data Distribution

In this letter, we investigate a rotary-wing unmanned aerial vehicle (UAV)-supported data distribution system. Specifically, a UAV transmits data to a group of ground users, aiming to minimize the UAV energy consumption via trajectory optimization. To cope with the non-convex optimization problem that involves continuous time variables, we first consider a benchmark “hovering-to-communicate” scheme where the UAV sequentially visits a series of hovering positions to transmit data. In this case, the formulated problem can be transformed into the traveling salesman problem and solved. Next, we consider a generalized “flying-to-communicate” scheme where the UAV sends data to ground users while flying. In this case, the formulated problem can be reduced to a tractable form with a finite number of variables via trajectory discretization, whose approximately optimal solution is derived by successive convex approximation technique. Simulation results demonstrate that the proposed algorithm can effectively reduce the UAV energy consumption.

TIME OPTIMIZATION OF PROCESS OF DATA CONSISTENCY IN NOSQL

It is emphasized that the performance of a distributed information system depends on many factors, including the size and structure of the database, the hardware used, the number of replicas and their geographical location. A conclusion was made about the perspective of the concept of non-relational NoSQL databases and it was concluded that it was proposed for efficient storage and provision of quick access to large volumes of information, the so-called Big Data, which cannot be achieved using traditional relational database management systems. The essence of the concept of “NoSQL database” is revealed and the currently existing difficulties in using large systems are named. In NoSQL databases, multiple replication (copying) of a record is used to ensure high fault tolerance. But there is a significant drawback for them, because these systems do not support the mode of conducting transactions and blocking, so there is a problem of data reconciliation. It is emphasized that NoSQL databases mainly use two methods of placing and updating the time of the data consistency process in NoSQL: according to the principle of “master-slave” and “ring”. A model of strong data reconciliation in NoSQL is described and an example of time optimization for the healthcare system is considered. It has been established that even with large values of the intensity of receiving requests for reading λ, the waiting time does not exceed 3 ms. However, when performing analytical queries, this time can increase, so with large N and high intensity of incoming read requests, this time can reach 7 ms.

DRUG DISTRIBUTION INFORMATION SYSTEM AT PT. ANUGERAH PHARMINDO LESTARI JAKARTA BASED ON JAVA NETBEANS

Drug Distribution Information System (DDIS) implemented at PT. Pharmindo Lestari Jakarta has changed the way companies manage and distribute pharmaceutical products. Developed using NetBeans' Java platform, the system has won numerous awards for its seamless integration and ease of use. DDIS provides real-time information on inventory levels, product expiration dates and sales data, enabling companies to make informed decisions about procurement and distribution activities. It also offers various features such as order tracking, billing and invoicing, which have greatly increased the efficiency of the company's operations. One of the main benefits of DDIS is its ability to integrate with other systems such as accounting software, which has eliminated the need for manual data entry and reduced the risk of errors. The system also provides comprehensive reporting capabilities, enabling companies to analyze sales trends, identify potential bottlenecks, and make informed decisions about resource allocation.

Data Acquisition for Condition Monitoring in Tactical Vehicles: On-Board Computer Development

This paper outlines the development of an onboard computer prototype for data registration, storage, transformation, and analysis. The system is intended for health and use monitoring systems in military tactical vehicles according to the North Atlantic Treaty Organization Standard Agreement for designing vehicle systems using an open architecture. The processor includes a data processing pipeline with three main modules. The first module captures the data received from sensor sources and vehicle network buses, performs a data fusion, and saves the data in a local database or sends them to a remote system for further analysis and fleet management. The second module provides filtering, translation, and interpretation for fault detection; this module will be completed in the future with a condition analysis module. The third module is a communication module for web serving data and data distribution systems according to the standards for interoperability. This development will allow us to analyze the driving performance for efficiency, which helps us to know the vehicle’s condition; the development will also help us deliver information for better tactical decisions in mission systems. This development has been implemented using open software, allowing us to measure the amount of data registered and filter only the relevant data for mission systems, which avoids communication bottlenecks. The on-board pre-analysis will help to conduct condition-based maintenance approaches and fault forecasting using the on-board uploaded fault models, which are trained off-board using the collected data.

Principles of a unified open personalized computer-integrated learning environment for the Junior Academy of Sciences of Ukraine

This study aims to determine the conceptual foundations of a unified personalized open computer-integrated learning environment for the Junior Academy of Sciences of Ukraine (JASU). The research tasks include identifying priority directions for developing students' research competence, analyzing the innovative activities of JASU in implementing cloud-based ICT (Information and Communication Technology), and defining the objectives and structure of the "Learning Interaction Support Server" software complex as the basis for a unified personalized open computer-integrated learning environment for JASU. The research object focuses on the process of developing students' research competence within JASU, while the subject encompasses the concept of a unified personalized open computer-integrated learning environment for JASU based on network ICT services.Research methods employed in this study involve analyzing regulatory documents, scientific publications, articles, monographs, conference proceedings, and seminars. Additionally, an analysis of the extracurricular education system and the structure and activities of JASU was conducted.The research findings entail identifying priority directions for fostering innovative thinking and culture, designing an acmeological educational space considering the innovative development of education, personal demands, societal and state needs. Furthermore, the innovative activities of JASU were examined, and models for developing students' research competence within JASU were proposed. The implementation of cloud technologies, as the most promising innovative direction for the development of network ICT services, was discussed. Moreover, the tasks and structure of the "Learning Interaction Support Server" software complex—an adaptive distributed information and knowledge management system and personalized networked virtual electronic platforms for educational actors—were determined.The main conclusions and recommendations highlight that the creation of a unified personalized open computer-integrated learning environment for JASU will ensure the presence of all educational process participants, regardless of time and location. It will also promote the development and effective utilization of managed educational information resources, including personalized databases for students and educators. Ultimately, the motivation and productivity of scientific research will be significantly enhanced.

ORGANIZATION OF EDUCATIONAL ACTIVITIES IN THE CONTEXT OF BLENDED LEARNING FOR FUTURE TELECOMMUNICATIONS SPECIALISTS

The article is devoted to the issue of organizing educational activities in the conditions of blended learning for future telecommunications specialists in teaching the disciplines “Switching and Information Distribution Systems” and “Telecommunication and Information Networks”. Due to the pandemic and the Russian invasion of Ukraine, distance and blended learning has become one of the leading trends in education, providing continuous and high-quality education. The author analyzed the experience of Ukrainian researchers in the use of blended learning and ICT tools in higher education institutions. The author describes digital tools and learning platforms used by teachers in the disciplines “Switching and Information Distribution Systems” and “Telecommunication and Information Networks” at the Kyiv Professional College of Communications. The materials in the areas of study of future telecommunications specialists are described in detail. The advantages of using the workbook in teaching the discipline “Telecommunication and Information Networks” are presented. As a result of the survey, which was attended by 50 students majoring in Telecommunications and Radio Engineering, the following advantages of blended learning were identified: flexibility of the process; increased academic performance of students; gaining knowledge in different ways; combination of distance and traditional learning. In an open question, students were asked to indicate what, in their opinion, needs to be changed or improved to improve the blended learning process; the answers were analyzed by the author and singled out into separate positions.

BALANCE: Bayesian Linear Attribution for Root Cause Localization

Root Cause Analysis (RCA) plays an indispensable role in distributed data system maintenance and operations, as it bridges the gap between fault detection and system recovery. Existing works mainly study multidimensional localization or graph-based root cause localization. This paper opens up the possibilities of exploiting the recently developed framework of explainable AI (XAI) for the purpose of RCA. In particular, we propose BALANCE (BAyesian Linear AttributioN for root CausE localization), which formulates the problem of RCA through the lens of attribution in XAI and seeks to explain the anomalies in the target KPIs by the behavior of the candidate root causes. BALANCE consists of three innovative components. First, we propose a Bayesian multicollinear feature selection (BMFS) model to predict the target KPIs given the candidate root causes in a forward manner while promoting sparsity and concurrently paying attention to the correlation between the candidate root causes. Second, we introduce attribution analysis to compute the attribution score for each candidate in a backward manner. Third, we merge the estimated root causes related to each KPI if there are multiple KPIs. We extensively evaluate the proposed BALANCE method on one synthesis dataset as well as three real-world RCA tasks, that is, bad SQL localization, container fault localization, and fault type diagnosis for Exathlon. Results show that BALANCE outperforms the state-of-the-art (SOTA) methods in terms of accuracy with the least amount of running time, and achieves at least 6% notably higher accuracy than SOTA methods for real tasks. BALANCE has been deployed to production to tackle real-world RCA problems, and the online results further advocate its usage for real-time diagnosis in distributed data systems.

Blockchain-Based Security Configuration Management for ICT Systems

The world has become increasingly dependent on large-scale and distributed information and communication technology (ICT) infrastructures and systems in sectors such as energy, transport, banking, healthcare, water supply, and digital services, while their protection is considered of paramount importance and has already drawn remarkable attention from governments and key industry players. Establishing common approaches by leveraging existing frameworks and cyber security practices for improving the security postures of those systems is one of the major objectives for ensuring an adequate level of protection and avoiding the detrimental effects of disruptions on society and citizens. Configuration management (CM) is one of those common practices for establishing and maintaining the integrity and consistency of a system and its elements with regard to the function, performance, and status of technical and physical attributes, and it contributes to a desirable security posture throughout the lifecycle of a system. This study addresses the importance of CM, and while considering the corresponding frameworks, standards, and best practices, it proposes a permissioned blockchain-based approach, that inherits the benefits of the blockchain technology and ensures the integrity of the systems’ configuration across the complete lifecycle management of its products and services as an underlying model for mapping and integrating CM functions. Furthermore, this study briefly presents the benefits and challenges of the application of permissioned blockchain models and proposes a smart-contract-based role-based access control mechanism, in addition to presenting an operating concept based on brief but real-life lifecycle requirements of organizational configuration management.

A Domain-Specific Accelerator for Ultralow Latency Market Data Distribution System

Ultralow latency parsing of financial data is gaining significance in the high-frequency trading of the security exchange market. Hardware-aided systems exhibit superior improvement of latency over traditional software solutions, but flexibility may suffer when processing the financial protocol. This article presents a domain-specific accelerator for the market data distribution system, which integrates a financial information exchange adapted for streaming (FAST) decoder, a 10-Gbps network interface, and a high-speed PCIe host interface into a single field programmable gate array (FPGA) acceleration card. The proposed FAST decoder adopts the finite state machines-coordinated sequence mapping table to achieve run-time reconfigurability over fine-grained FPGA programming, and 16 fields can be decoded simultaneously in a pipelined manner, resulting in a decoding latency of only 33 ns. Evaluated on the Xilinx Alveo U200 acceleration card, this work improves the latency of decoding a FAST message by 26%–72% than state-of-the-art FPGA designs, and outperforms the software baseline by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$&gt;27\times$</tex-math></inline-formula> in terms of latency covering both decoding and communication.