Reliability Of Information Systems Research Articles

ПОСТРОЕНИЕ СОСТАВНЫХ КРИТЕРИЕВ ДЛЯ ОПТИМИЗАЦИИ ТЕРМОВ И ОБОБЩЕННОГО ПОКАЗАТЕЛЯ БАЗ ЗНАНИЙ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ

The purpose of the research is to develop the concept of systematization of the knowledge base and solving problems of information cybersecurity of systems and when making search decisions based on the construction of a structured semantic content model of terms of a scientific and theoretical nature describing complex active systems. Research methods: statistical analysis, hypothesis testing methods, machine learning methods, reliability models, evaluation type models used in testing reliability indicators, parameters of behavioral systems. The result obtained: The result obtained: experimental results of the application of reliability evaluation models and consent criteria to different sizes of knowledge bases are discussed and the evaluation of the results of measuring the reliability index on these components, taking into account the failure rate, is given. The description of generalized algorithms for the functioning of evaluation and forecasting components, as well as their applicability to solving problems in the field of information security, is given. A general model of a spatial network is proposed, within the framework of which the subject carries out risk management by effectively, in one sense or another, distributing the homogeneous resource at his disposal between its nodes. For the implementation of decision-making, more optimistic criteria than the minimax criterion are recommended. Scientific novelty: consists in the development of mathematical models to maintain the logical and physical integrity of the knowledge bases of cybersystems using the desirability function and consent criteria. The basic requirements for ensuring reliable behavior and operability of an information system using oriented databases are highlighted and described. It is postulated that the best information system reliability is achieved through the use of automated monitoring systems using knowledge bases for continuous monitoring and periodic analysis of cybersystem objects with tracking the dynamics of changes in the event space.

SERVER PERFORMANCE TESTING TO ANALYZE ITS CONDITION

Performance testing of servers under load is a key stage in ensuring the reliability and optimal functionality of information systems. During the analysis of studies and publications in this area, it became obvious that performance testing is a critical step in ensuring the highest level of functionality and availability of information systems. Basic testing techniques, such as load testing, stress testing, throughput testing, allow you to measure the system's response to various types of load and predict its behavior in real use conditions. An overview of the techniques used to analyze and evaluate the performance of servers under real load conditions is carried out. The paper explores the various approaches and tools used to conduct such tests, including load testing, stress testing, and throughput testing. Evaluation of performance measurements and their analysis provide an opportunity to understand the response of the system to different types of load and to identify the limitations of its performance. The work highlights the importance and application of these techniques in today's IT environment and suggests ways to improve the effectiveness of performance testing to ensure stability and optimal server performance. The choice of technology stack for web software development has crystallized into (relatively) a few core technologies today. Accordingly, most vendors of automated tools have followed suit by providing the kind of support that their products provide. Common reasons why ineffective performance testing leads to inefficient applications have been discussed. You can summarize most of these reasons in one statement: Development and performance testing are still not given enough importance in the software development life cycle.

Influence of Docker technology on microservices architecture

In today's information society, where market dynamics and user requirements are constantly growing, software developers face the challenges of rapid development, maintaining high scalability, and ensuring the reliability of information systems. In this context, microservices architecture has become a popular approach that allows you to decompose software into small functional blocks called microservices. Recently, Docker has become one of the most popular technologies for containerizing applications. Docker provides the ability to isolate applications and their dependencies in containers that can be easily moved and deployed on a variety of environments, including local servers, cloud infrastructures, and container orchestrators such as Kubernetes. This article is an in-depth exploration of the impact of using Docker on the architectural aspects of microservice applications. It addresses the issues of scalability, reliability, performance, and provisioning in the context of using Docker in microservices deployment. The article also compares Docker with other containerization approaches and analyzes its impact on architectural decisions.

Development of a mathematical model of reliable structures of information-control systems

A mathematical model of the information system (IS) for monitoring the state of objects that may be exposed to extreme influences has been built. The system consists of n devices that work independently of each other. To construct the specified information system, which has the minimum permissible reliability of event recognition, a class of structures of the type «k with n» is considered. Formulas for determining the probabilistic characteristics of n parallel reserved sensors for structures of the «k with n» type were derived; the probability of these events was calculated; and plots of their distribution were constructed. The peculiarity of the derived formulas is that they can be implemented on logical elements with which one can build a physical decision support device. The number of sensors and their corresponding probabilities of correct detection of fire at the given majority values of fire probability were also determined; the cost indicators of the information system were defined. A method for improving the reliability of IS has been developed, based on the use of the optimal number of information sensor. The ratio of finding probabilistic states of IS for structures of the «k with n» type was obtained. Algorithms for calculating the probabilities of IS states, as well as an algorithm for determining the number of information sensors and the corresponding probabilities of fire detection, have been developed. The feature of these algorithms is that they make it possible to determine the optimal number of information sensors. An estimate of the effectiveness of IS indicators of the considered types of structures was found: the probability of correct detection, the probability of non-detection, and false alarm. The reported results can be used to select the optimal structure for recognizing dangerous flight situations: choosing the number of sensors corresponding to the high probability of correct detection and the minimum probabilities of non-detection and false alarms, taking into consideration the cost of sensors.

PN-BBN: A Petri Net-Based Bayesian Network for Anomalous Behavior Detection

Business process anomalous behavior detection reveals unexpected cases from event logs to ensure the trusted operation of information systems. Anomaly behavior is mainly identified through a log-to-model alignment analysis or numerical outlier detection. However, both approaches ignore the influence of probability distributions or activity relationships in process activities. Based on this concern, this paper incorporates the behavioral relationships characterized by the process model and the joint probability distribution of nodes related to suspected anomalous behaviors. Moreover, a Petri Net-Based Bayesian Network (PN-BBN) is proposed to detect anomalous behaviors based on the probabilistic inference of behavioral contexts. First, the process model is filtered based on the process structure of the process activities to identify the key regions where the suspected anomalous behaviors are located. Then, the behavioral profile of the activity is used to prune it to position the ineluctable paths that trigger these activities. Further, the model is used as the architecture for parameter learning to construct the PN-BBN. Based on this, anomaly scores are inferred based on the joint probabilities of activities related to suspected anomalous behaviors for anomaly detection under the constraints of control flow and probability distributions. Finally, PN-BBN is implemented based on the open-source frameworks PM4PY and PMGPY and evaluated from multiple metrics with synthetic and real process data. The experimental results demonstrate that PN-BBN effectively identifies anomalous process behaviors and improves the reliability of information systems.

Vector formation features of modern network attacks

The problems that arise when setting tasks for determining the vector of a network attack in a corporate information network are considered. The varieties of various techniques that simplify the construction of a network attack vector used in the analysis of the reliability of information systems are presented and characterized. The suitability for various procedures for determining vector parameters is considered. When constructing a network attack vector, the specificity of the manifestation of the time parameter was determined as a characteristic indicating a more effective way of spreading compromise. The formation of the vector is considered taking into account the specifics of the networks multilevel organization. The specifics of the simplified vector calculation model including procedures focused on various approaches are determined.

A Review of Contemporary Governance Challenges in Oman: Can Blockchain Technology Be Part of Sustainable Solutions?

Oman is considering adopting the latest e-governance technology, including Blockchain-based. While much research was conducted into the benefits and risks of Blockchain-based in information systems and finance fields, fewer researchers investigated the opportunities and risks associated with adopting Blockchain-based frameworks for governance and public administration, especially in highly bureaucratic, centralized rentier states, such as Oman. As the first phase of an exploratory sequential mixed-methods study, our purpose was to identify key governance problems in contemporary Oman and analyze each problem against evidence drawn from the relevant parts of the Blockchain-based and e-governance literature to evaluate the potential utility, risks and limitations associated with adopting block-chained e-governance solutions in the Sultanate. Our initial results indicate that there are advantages for states, such as Oman, from being an early mover into block-chained e-governance systems, including greater cost efficiency, drastically improved accuracy and reliability of information systems, transparency and accountability of public services, and an upgrade in the overall level of legitimacy and public trust in the institutions of governance. However, more research into the risks related to reconciling block-chained systems with the dynamics of labor, tax reforms and centralized authority in a rentier social contract is required.

Information Systems Reliability in Traditional Entropy and Novel Hierarchy

Abstract The continuous progress of computing technologies increases the need for improved methods and tools for assessing the performance of information systems in terms of reliability, conformance, and quality of service. This paper presents an extension of Information Theory by introducing a novel hierarchy concept as a complement to the traditional entropy approach. The methodology adjustments are applied to a simulative numerical example for assessing the reliability of systems with different complexity and performance behavior.

The Antecedents of Intention to Use Telemedicine

The Covid-19 pandemic has accelerated the adoption of technology in various sectors, one of which is the healthcare industry. Telemedicine users increased during the Covid-19 pandemic, but only 10% of Indonesia's population. This study aims to analyze the factors influencing the intention to use telemedicine. This research uses a descriptive quantitative method. The sampling technique used non-probability sampling with a voluntary sampling technique. Data analysis applied Structural Equation Modeling using LISREL version 8.8. Data were obtained from 225 respondents in Greater Jakarta and Greater Bandung from January to March 2022, but only 192 were included in the analysis. The results showed that the intention to use telemedicine was directly influenced by attitude (A) and indirectly influenced by interrelated variables such as trust (T), perceived ease of use (PEU), perceived usefulness (PU), information quality (IQ), service quality (SrQ), and system quality (SQ). Implications that telemedicine service providers can apply to increase the use of telemedicine are to create the best experience, user friendly, provide complete information, and increase the reliability of information systems.

Optimal data backup policies for information systems subject to sudden failure

PurposeWith the irresistible growth in digitization, data backup policies become essential more than ever for organizations seeking to improve reliability and availability of organizations' information systems. However, since backup operations do not come free, there is a need for a data-informed policy to decide how often and which type of backups should be taken. In this paper, the authors present a comprehensive mathematical framework to explore the design space for backup policies and to optimize backup type and interval in a given system. In the authors' framework, three separate cost factors related to the backup process are identified: backup cost, recovery cost and data loss cost. The objective function has a multi-criteria structure leading to a backup policy minimizing a weighed function of these factors. To formalize the cost and objective functions, the authors get help from renewal theory in reliability modeling. The authors' optimization framework also formulates mixed policies involving both full and incremental backups. Through numerical examples, the authors show how the authors' optimization framework could facilitate cost-saving backup policies.Design/methodology/approachThe methodology starts with designing different backup policies based on system parameters. Each constructed policy is optimized in terms of backup period using renewal theory. After selecting the best back-up policy, the results are demonstrated through numerical studies.FindingsData backup polices that are tailored to system parameters can result in significant gains for IT (Information Technology) systems. Collecting the necessary parameters to design intelligent backup policies can also help managers understand managers' systems better. Designed policies not only provides the frequency of back up operations, but also the type of backups.Originality/valueThe original contribution of this study is the explicit construction and determination of the best backup policies for IT systems that are prone to failure. By applying renewal theory in reliability, the authors present a mathematical framework for the joint optimization of backup cost factors, i.e. backup cost, recovery time cost and data loss cost.

Improving viral load testing using a quality improvement approach in Blantyre, Malawi.

BackgroundViral load (VL) testing coverage remains low particularly in resource limited countries despite recommendation by World Health Organization, and Malawi is no exception. A quality improvement (QI) approach was used to improve VL testing coverage from 27% to a target of 80% at an urban health facility in Malawi.MethodsA QI study employing a time-series quasi-experimental design with no comparison group was conducted at Chilomoni health centre in Blantyre from April 2020 to July 2020. A retrospective record review of all patient records (257) from 8 weeks before the study was conducted to determine baseline VL testing coverage. Root cause analysis of low VL testing coverage was done using fish-bone tool and factors prioritized using a Pareto-chart. Priority factors included inadequate capacity to update electronic medical records and competing tasks. Change ideas were identified and prioritized using an effort-impact matrix. Two change ideas; re-orienting ART providers on VL test order in EMR and dedicated ART provider to serve VL tested patients were implemented and tested in 5 Plan-Do-Study-Act (PDSA) cycles from the Model for Improvement (MFI), each lasting one week. The latter was tested, and adapted in 3 cycles, and eventually adopted for monitoring for another 5 weeks. VL testing coverage was tracked throughout the study using run charts and p-charts.ResultsVL testing coverage increased from 27% to 71% by the end of the study, with children aged 0 to 14 years having the lowest coverage throughout the study.ConclusionThe MFI as a QI approach improved VL testing coverage through implementation of contextualized change ideas. A reliable data system, leadership buy-in and commitment are important for sustained improvement. Future research should focus on evaluating sustainability of improved VL testing coverage at the health facility and assessing barriers to VL testing among the paediatric population.

A Framework for Integrating Green Highway Performance Data with the Carbon Footprint Calculator in Malaysia

Highway concessionaires in Malaysia spend considerable assets in collecting, analysing and controlling different forms of data during highway projects’ life cycle. Considering this massive investment, nowadays the data use and information system reliability is becoming the key concern in terms of delivering value to consumers as opposed to the amount generated. The data generated is extensive and heterogeneous. This paper provides a new paradigm for integrating green highway performance data with carbon footprint data for green highway assessment. This framework is used to improve the active use of data in the generation of information and to assist comprehensively in decision-making at all levels of management. The network approach used in this study is the main component for interlinking data with knowledge and decisions, identifying the parameters of data integration for green highway assessment, determining the criteria data for integration, and assessing the overall performance of data usage. Real-time green highway data scenarios are used to demonstrate the applicability of this framework. A new monitoring performance measure called the MyGHI-Dashboard is proposed to control green highway assessment processes and evaluate the level of data usage, which will serve as a green highway performance scorecard. Through data-driven insights, this new paradigm can be used as a benchmarking model by highway authorities to make efficient and accurate decisions. This study is expected to become the central reference to mitigate the challenge associated with the use of highway performance data in real-time for Malaysian highway development.

Проблема избыточности информации в информационно-измерительных системах

Data redundancy is a common approach to improve reliability of information and measurement systems. Design of information and measurement systems is an important step when the proper effect of data redundancy on accuracy of measurements needs to be established. This research involved studying of correlation of direct and indirect redundancy and accuracy of measurements.

ПОВЫШЕНИЕ ФУНКЦИОНАЛЬНОЙ НАДЕЖНОСТИ СИСТЕМ БИОМЕТРИЧЕСКОЙ ИДЕНТИФИКАЦИИ ПУТЕМ ВНЕСЕНИЯ ИЗБЫТОЧНОСТИ

The paper demonstrates a need to study the functional reliability of identification systems and the applicability of methods for ensuring the functional reliability of information systems for biometric identification systems. Methods of ensuring functional reliability of biometric identification systems via providing indicators of reliability of identification devices and introducing redundancy are considered. The applicability of the methods for biometric identification systems is investigated, its advantages and disadvantages are evaluated. Triple modular redundancy scheme has been developed for the program redundancy using N-version programming. An appropriate reliability scheme based on the principles of dual programming has been developed to implement the identification system with one additional redundant element. Based on the NIST statistics of face recognition algorithms for the developed reliability schemes the reliability indicators were evaluated and its advantages over a system consisting of a single non-redundant element have been shown. The proposed reliability schemes are consistent with the practice of ensuring the functional reliability of information systems and can be integrated into biometric identification systems that use biometric data as the main access identifier.

Analysis of The Quality of The Population And Civil Registration Service System In Ogan Ilir Regency Using Importance Performance Analysis Method (IPA)

To determine the quality of the Population Administration and Civil Registration Service website in Ogan Ilir Regency and to determine the level of user satisfaction in this study, the Importance Performance Analysis (IPA) method with a descriptive quantitative approach was used. The variable dimension for the questionnaire used is the E-GovQual (E-Government Quality) method which consists of 5 variables, namely ease of use, trust, reliability, content and appreance of information system, and citizen support distributed to 99 respondents. The IPA method itself has 3 stages of analysis, namely GAP analysis, conformity analysis, and Cartesian diagrams then the data is processed using IBM SPSS version 25. The results of this study indicate that the main priority in improvement is indicators no. 3 and 11. With gap analysis, 17 negative indicators are obtained. and 5 positive indicators which means that almost all attributes have not met user expectations. While the average value of the level of conformity is 97%, which means users are not satisfied with the performance of Admindukcapil services because the value of the level of conformity is <100%. Analysis, Service Quality, Importance Performance Analysis, E-Govqual.

Patient-Reported Outcomes Measurement Information System Mobility Computerized Adaptive Testing Maintains High Correlation and Low Test Burden Compared With Legacy Hip-Specific Instruments in Patients Undergoing Hip Arthroscopy for Femoroacetabular Impingement

To evaluate the reliability, construct validity, and responsiveness of the lower extremity-specific Patient-Reported Outcomes Measurement Information System (PROMIS) Mobility (MO) bank in patients who underwent hip arthroscopic surgery for femoroacetabular impingement. Patients who underwent primary hip arthroscopic surgery at a large academic musculoskeletal specialty center between November 2019 and November 2020 completed the following baseline and 6-month measures: PROMIS MO, PROMIS Pain Interference (PI), PROMIS Physical Function (PF), modified Harris Hip Score, International Hip Outcome Tool 33, visual analog scale, and Single Assessment Numeric Evaluation. Construct validity was evaluated using Spearman correlation coefficients. The number of questions until completion was recorded as a marker of test burden. The percentage of patients scoring at the extreme high (ceiling) or low (floor) for each measure was recorded to measure inclusivity. Responsiveness was tested by comparing differences between baseline and 6-month measures, controlling for age and sex, using generalized estimating equations. Magnitudes of responsiveness were assessed through the effect size (Cohen d). In this study, 660 patients (50% female patients) aged 32 ± 14 years were evaluated. PROMIS MO showed a strong correlation with PROMIS PF (r = 0.84, P<.001), the International Hip Outcome Tool 33 (r = 0.73, P < .001), PROMIS PI (r= -0.76, P < .001), and the modified Harris Hip Score (r = 0.73, P < .001). Neither PROMIS MO, PROMIS PI, nor PROMIS PF met the conventional criteria for floor or ceiling effects (≥15%). The mean number of questions answered (± standard deviation) was 4.7 ± 2.1 for PROMIS MO, 4.1 ± 0.6 for PROMIS PI, and 4.1 ± 0.6 for PROMIS PF. From baseline to 6 months, the PROMIS and legacy measures exhibited significant responsiveness (P < .05), with similar effect sizes between the patient-reported outcome measures. This longitudinal study reveals that in patients undergoing hip arthroscopy, PROMIS MO computerized adaptive testing maintains high correlation with legacy hip-specific instruments, significant responsiveness to change, and low test burden compared with legacy measures, with no ceiling or floor effects at 6-month postoperative follow-up. Level IV, retrospective case series.

Assessment of Reliability of the Transport Information Systems

In this paper is given the definition of e reliability of a transport information system, with features of transport information systems listed. Equations for calculating reliability indicators are given, as well. The developed hierarchical graph model for assessing the reliability of transport information systems and an algorithm for analyzing the graph model, which allows taking into account the specifics of the reliability of the operation of system elements at different levels of the hierarchy, are presented. Using the graph model and the graph model analysis algorithm, it is possible to reasonably predict the strategy for the creation and development of transport information systems.

Implementation of a combined algorithm designed for increasing the reliability of information systems

This paper considers the results of experimental studies of the previously presented algorithm designed for increasing the reliability level of information systems. The data on the organization and conduct of the studies is provided to clarify their meaning. Within the framework of the study conducted, the obtained experimental data of simulation modeling and the functioning data of existing information systems are compared. The hypothesis of homogeneity of the structure of information systems has been formed, thereby reconfiguring the presented algorithm into a model for the analysis of information systems. The results presented can be used in further research activities. The obtained data on the opportunity to predict the functioning of information systems can be used for economic planning.

Analysis of Adaptive Model Success of Integrated Financial Information System through User Satisfaction in Local Governments

This research is to anayze adaptive model success of integrated financial information system through user satisfaction in local governments. The population in this study were the parties managing the regional financial information system totaling 612 people. The sampling technique uses saturated samples. The processing of data used Smart Partial Least Squares (PLS) application for the SEM Methods. The results showed that: partially, the reliability of information systems, organizational support, benefits, user behavior, has an effect on user satisfaction with the government regeny/cities in North Sumatra; partially, the reliability of information systems, organizational support, benefits, user behavior, use of the intention to the local government in North Sumatra; the user satisfaction factor affects the intention to use; Partially, the reliability of information systems, organizational support, benefits, and user behavior affects user satisfaction and its impact on intention to use in local governments in North Sumatra.

The reliability of information systems in organisation as a source of competitive advantage

The reliability of information systems in organisation as a source of competitive advantage