Configuration Management System Research Articles

Design of intelligent decision support system for supply chain sustainability assessment

The objective of this research is to develop an intelligent decision support system (IDSS) that can aid decision-makers in enhancing the performance and sustainability of the sugarcane agroindustry's supply chain. A case study focusing on a sugarcane agroindustry supply chain was proposed. The IDSS was developed using the waterfall approach, which follows the system development life cycle (SDLC) and employed an object-oriented programming technique. The outcome of this study is a prototype of the IDSS, consisting of a database, model base, and knowledge-based management system configuration. To evaluate the sustainability of the supply chain, a fuzzy inference system and an adaptive fuzzy inference system algorithm were utilized. Through verification and validation, it was determined that the IDSS prototype has the potential to be implemented in real-world scenarios, as long as certain assumptions related to the model are taken into consideration.

Analysis and optimization of abnormal furnace pressure in a CFB boiler

An induced draft fan frequency converter fault during the operation of a CFB unit, the furnace pressure fluctuates greatly in the process of the fan switching from frequency conversion mode to power frequency mode automatically. By mean of analyzing the reasons of the abnormal event, corresponding improvement measures were put forward and the experience and lessons were also summarized. It provides a reference for preventing the occurrence of such events and dealing with similar events quickly for thermal professionals. Meanwhile, thermal workers could be reminded to pay attention to distributed control system (DCS) configuration management and the test work after configuration.

Software Configuration Management in Software Product Lines: Results of a Systematic Mapping Study

Software product lines (SPL) are used in industry to achieve more efficient software development. However, efficient configuration management system is crucial for the success of any SPL. Very few approaches are found on software configuration management (SCM) in SPL. This study aims at surveying existing research on SCM in SPL in order to identify useful approaches and needs for future research. A systematic mapping study was conducted to find as much literature as possible between 2010-2020, and the twenty three papers found were classified according to context, research and contribution type. Most research effort is spent on product variability (87%) with contributions such as proposed tools and models (70%), sketched out in detail but not yet evaluated, i.e. solution proposals (63.33%). According to the results found, more validation and evaluation research of the SCM is needed to provide a better foundation for SPL.

Design and Achieve of Management System for Optimal Allocation of Municipal Resources

In order to achieve the informational and intelligent management of the municipal resources, this article uses platforms like IntelJ IDEA development tools and MySQL database, with the use of spring framework and B/S architecture, develops a municipal resource optimization configuration management system. In this system, MyBaits finishes the management of the data. The grey models and exponential smoothing algorithms have done the prediction part of the demand for the municipal resources corresponding to the flow of people and vehicles. The municipal department can perceive the demand for resources through this forecasting function and then allocate the corresponding municipal resources in advance. The development of this system can simplify the work process of municipal departments when there is a demand to manage the resources. It is of great significance to improve the working efficiency and the resources utilization rate of the municipal departments.

Queueing Information Management of Primary Care Delivery With E-Visits

The goal of this work is to investigate the system configuration and information management of primary care delivery with electronic visits (e-visits). We consider a medical institution employing primary care physicians and other clinicians that offer office visits (in-person) and e-visits (through secure messaging from patient portals), and where different queue-joining behaviors: denoted as the mixed strategy, the duplication strategy and the threshold strategy are adopted by flexible patients based on different system configurations. Different queueing models are developed to capture flexible patients' queue-joining behaviors according to queueing information provision. In particular, we develop the equilibrium behavior of a dual server system where state information is available for one of the servers and the flexible patient exhibits a utility-maximizing behavior, which extends the literature on the analysis of queueing systems with strategic customers. The duplication strategy with deletion offers the least expected waiting time for the patients, and the threshold strategy provides the next best performance which is superior to the mixed strategy, which demonstrates the value of information. IEEE

Comparison of selected configuration management systems in Linux

The purpose of this article is to compare selected configuration management systems on Linux. These systems had to meet the condition of integration with Linux. The two of the most popular systems were chosen which are Puppet and Ansible. The comparison was based on a simple system configuration using these two systems in several aspects: installation, file and folder management, package management, user management, configuration of the Apache server and Firewall. Through this comparison, it was possible to determine which system is more suitable for a novice Linux system administrator.

Financial Data Center Configuration Management System Based on Random Forest Algorithm and Few-Shot Learning.

To form a unified configuration and information management platform, FCCMS (financial center configuration management system) will integrate and sort information based on various configuration data and relationships as well as integrate processes and permissions. However, the most serious issue that data centers are currently facing is how to effectively manage these infrastructures. For various infrastructures, the data center currently uses a decentralized operation and maintenance management model. When an infrastructure fails due to inexperienced configuration management, this mode is not conducive to quickly locating and resolving the problem. A detection method of RFCO (random forest algorithm based on clustering optimization) is proposed, and an appropriate tree is selected from RF to integrate, so as to achieve the best effect. In this paper, the target matching algorithm based on FSL (few-shot learning) is deeply studied, and the target detection model is applied to the target matching and positioning task by using the ML method. The performance of the algorithm is tested by experiments on relevant datasets to verify the effectiveness of the algorithm in various scenarios.

Optimal power system design and energy management for more electric aircrafts

Recent developments in fuel cell (FC) and battery energy storage technologies bring a promising perspective for improving the economy and endurance of electric aircraft. However, aircraft power system configuration and power distribution strategies should be reasonably designed to enable this benefit. This paper is the first attempt to investigate the optimal energy storage system sizing and power distribution strategies for electric aircraft with hybrid FC and battery propulsion systems. First, a novel integrated energy management and parameter sizing (IEMPS) framework is established to co-design aircraft hardware and control algorithms. Under the IEMPS framework, a new real-time power distribution algorithm with a flexible ratio is established to facilitate integrated parameter optimization, which can adapt to different power system configurations. Based on the comprehensive analysis of hydrogen economy, FC aging cost, and aircraft stability, a multi-objective parameter optimization model is established to decide the size of aircraft energy storage systems and hyper-parameters in the power controller. The X-57 Maxwell, an experimental electric aircraft designed by NASA, is employed to verify the developed methods. This work provides a novel power system configuration, sizing, and power management method for future commercial aircraft design, and it can further promote the aviation electrification process.

Моделирование операционных, программных и технических систем в проектах РФФИ

A wide range of issues of theory and practice in the development of large-scale software and hybrid software intensive systems, including operating systems, is considered. Issues of configuration management, modeling and verification of such systems, construction of ontological models of subject areas related to application and system software are touched upon. Such multilateral consideration is necessary to ensure reliability, security and elastic development during the multi-year period of operation of infrastructural and mission-critical systems. The paper is based on the materials of studies carried out within the two RFBR projects. In addition to recent results, the authors pay attention to the history of the development of research in the relevant areas in the Soviet Union.

Obtaining a Neural Network Mathematical Model That Takes Into Account Various Power Supply Schemes

Gas turbine units are widely used as a drive for a synchronous generator in a gas turbine power plant. The main problem here lies in the fact that the control systems of such gas turbine plants are transferred practically unchanged from their aviation counterparts. This situation leads to inefficient operation of the gas turbine power plant, which affects the quality of electricity generation. To solve this problem, it is necessary to improve the control algorithms for the automatic control systems of gas turbine plants. When solving this problem, gas turbine plants should be considered in interaction with other subsystems and units; for gas turbine power plants, this is, first of all, an electric generator and the electric power system as a whole. Setting up a control system is one of the most costly stages of their production, both in terms of finance and time. Especially time-consuming operations are non-automated manual configuration management system for developmental and operational testing. Therefore, it is proposed to use a software-modeling complex, on the basis of which it is possible to obtain a neural network mathematical model of a gas turbine power plant and conduct its tests.

UCDiff: Difference Detection in Use Case Models of Healthcare System

Development of large-scale healthcare software projects essentially need the efficient management of the created software artifacts during software development process. In such projects different versions of an artifact are created at different times. Traditional software configuration management systems, such as Git, Subversion (SVN), etc., are designed for later phases of software development, which mainly handle the source code document. These systems are unable to perform difference detection and version management tasks on models such as unified modeling language diagrams. UML use case model is used for capturing functional requirements at analyses phase. Different versions of the use case model are created during analyses phase. This paper addresses the detection of differences between two versions of a use case model. In order to perform difference detection, we need to perform three main tasks, i. e., extract the contents of the model, comparison of models and difference representation. Most of the existing approaches in literature of model comparison deal with UML class diagrams. To the best of our knowledge, so far no appropriate approach addresses difference computation of use case model. Existing approaches are not applicable on use case model due to different semantics of use case model. In this research, the concept of model-based software configuration management (SCM) for use case difference detection is proposed. The use case models are created in an open source tool, starUML. The proposed difference algorithm is applied on intermediate tree structure representation of models. As a case study, different versions of a patient appointment healthcare system is used to evaluate different evaluation parameters, such as accuracy, domain independence, high conceptual level and tool independence.

UCDiff: Difference Detection in Use Case Models of Healthcare System

Development of large-scale healthcare software projects essentially need the efficient management of the created software artifacts during software development process. In such projects different versions of an artifact are created at different times. Traditional software configuration management systems, such as Git, Subversion (SVN), etc., are designed for later phases of software development, which mainly handle the source code document. These systems are unable to perform difference detection and version management tasks on models such as unified modeling language diagrams. UML use case model is used for capturing functional requirements at analyses phase. Different versions of the use case model are created during analyses phase. This paper addresses the detection of differences between two versions of a use case model. In order to perform difference detection, we need to perform three main tasks, i. e., extract the contents of the model, comparison of models and difference representation. Most of the existing approaches in literature of model comparison deal with UML class diagrams. To the best of our knowledge, so far no appropriate approach addresses difference computation of use case model. Existing approaches are not applicable on use case model due to different semantics of use case model. In this research, the concept of model-based software configuration management (SCM) for use case difference detection is proposed. The use case models are created in an open source tool, starUML. The proposed difference algorithm is applied on intermediate tree structure representation of models. As a case study, different versions of a patient appointment healthcare system is used to evaluate different evaluation parameters, such as accuracy, domain independence, high conceptual level and tool independence.

Study on Typical Design Basis Conditions of HPR1000 With Nuclear Safety Analysis Code ATHLET

The third-generation nuclear power plant Hua-long Pressurized Reactor (HPR1000) is developed based on the experience of Chinese commercial Nuclear Power Plant (NPP) designs, construction, operation and maintenance. It improves the concept of defense in depth and strengthens severe accident prevention and mitigation strategies. The HPR1000 has implemented a number of active and passive innovative safety systems and accident management procedures for design basis conditions, e.g., the employment of Medium Pressure Rapid Cooldown (MCD) and Atmospheric Steam Dump System (ASDS) for the activation of Middle Head Safety Injection (MHSI), the application of Secondary Passive Residual Heat Removal System (SPRHR) for the residual heat removal. In the article, calculations are carried out for HPR1000 nuclear power plant with nuclear system safety analysis code ATHLET (Analysis of Thermal-Hydraulics of Leaks and Transient) 3.1 [1]. By means of conservative deterministic safety analysis approach, transient analyses concerning selected typical design basis conditions, i.e., Large Break Loss-Of-Coolant Accident (LB-LOCA), Small Break Loss-Of-Coolant Accident (SB-LOCA), Steam Generator Tube Rupture accident (SGTR) and Feed water Line Break (FLB) are performed. The ATHLET results are also compared with the results performed by CGN (China General Nuclear) developed code LOCUST with similar assumptions. The comparisons indicate that, although some discrepancies are detected, the trends of system responses predicted by the two codes are generally in agreement with each other for different accident scenarios. The results also demonstrate that the acceptance criteria for each accident can be met with significant safety margin. Thus, the effectiveness of safety system configuration and accident management procedures is guaranteed.

Data System Configuration and Organizing and Management Technologies of Information System

Based upon the synopsis of data system and information system, this paper puts forward the data system configuration of information system and execution process of data organizing and management, and sets forth a series of related technologies, such as data warehouse construction technology, data governance technology, data training and learning technology, data syncretization and analysis technology, and data subscription and distribution technology, and moreover, the effectiveness analysis is carried out with a performance comparison between the prototype and the existed system of data organizing and management. This will benefit the further evolution of information system and the continual improvement of data engineering.

Container Image Access Control Architecture to Protect Applications

A container platform allows various applications to be deployed or run after installation. A user can download or execute a container image with the required application. To apply the configuration management system, a container image uses a union filesystem composed of multiple layers. To provide stability, important application files must be protected from unauthorized access. However, the container image used for distributing an application does not have its own protection function, and it is not protected by the container platform. The access control function provided by the operating system cannot protect the applications because the container environment is not considered. In this study, a container image access control architecture is proposed that can ensure a safe application operating environment by denying unauthorized direct access to container images. The proposed architecture enforces the access control function after the container image is downloaded, denying unauthorized access to the container image layer directory. Because the access control function is provided at the kernel level, there is a security advantage that users cannot bypass. To verify this approach, the functions and performance were determined empirically according to the proposed architecture. Functional verification confirmed that the proposed architecture denies unauthorized access to the container base image and allows access only to authorized users. It was also confirmed that the proposed architecture ensures the performance of the container platform in the same way as before, and that the proposed container image access control architecture is sufficiently effective.

SELF-ADAPTIVE MODEL BASED ON GOAL-ORIENTED REQUIREMENTS ENGINEERING FOR HANDLING SERVICE VARIABILITY

Service system is currently facing environmental complexity problems, such as the need of a distributed, heterogeneous, decentralized, and interdependent system which operatesdynamically and unpredictably. This condition requires the service system to have an ability to adapt in order to realize sustainable functions. The success of service adaptation is determined by its ability to handle variability at runtime. The purpose of this research is to realize service flexibility through variability modeling, which is an extension of previous work to enrich the adaptability view. The methodology was developed through the monitor-analyse-plan-execute-knowledge control loops approach integrated into the adaptive service (service level) element within the adaptive enterprise service system metamodel based on goal-oriented requirements engineering. Service adaptation scenario was prepared through proactive and reactive adaptation mechanisms. For evaluation, the model was applied to the case of a configuration management system. The experimental results showed that the model is able to adapt to runtime variability and accomodates the growth of the service component items shown by the description of the system scalability. The proposed model has a better alternative design in analyzing variability with a total response that can be applicable in normal operations and overload. It also meets the expected level (level-5: adapting) of the adaptive capability maturity model as a standard for assessment of a service system adaptation.

Модель и методика маскирования адресации корреспондентов в киберпространстве

Regulators charge to counter information security threats against the structural and functional characteristics of the information system to ensure the information security requirements. These requirements include information system structure and composition, information technologies and functioning characteristics, physical and logical, functional and technological interconnections between information system segments. They order false components of information system emulation as a basic step of protection, as well as information technologies hiding, information system configuration management and its switching to predetermined configuration that provides a protection. However that steps are not included into basic set and they protection aims are reached with compensative assets, formalizing and implementing inhibitory orders and set of organizational and technical measures on threat source. The purpose of research – to disclose and to state main ways of search of new technical solutions for structure masking of distributed information systems in cyberspace implementing masking traffic taking into account the requirements for the timeliness of information exchange. The method of research – operations research in the face of uncertainty, the application of the theory of Markov processes and Kolmogorov equation for solving the problem of increasing the efficiency of masking exchange. The result of research – finding the probabilistic and temporal characteristics of the functioning process of the data transmission network when applying technical solutions for information systems masking in cyberspace. The results obtained make it possible to explicitly implement protection measures aimed at forming persistent false stereotypes among violators about information systems and control processes implemented with their help.

Configuration Management of information systems in Peruvian Goverment organizations

Having a well-defined control of the change processes in the configuration management in the software development life cycle, before and after being put into production environment, implies an effort of development personnel and an additional cost in the maintenance system. The objective of this paper is to establish the guidelines to regulate the activities and tasks during the process of development and maintenance of software-based systems in order to control the changes, integrity and traceability of its configuration, for this purpose it is taken as a reference the peruvian technical standards NTP-ISO/IEC 12207: 2016 for Software and systems engineering, NTPISO/IEC 27001: 2014 for Information security management systems and the methodology MÉTRICA version 3 for the systematization of life cycle of the software activities. The proposal defines the roles and responsibilities, the activities of each thread and the use of control templates, the validation of the was achieved through the analysis of three software systems with results that show that there is a better organization in the development, maintenance, control of the versions of the elements and the percentage of error in the configuration.

Configuration Management of information systems in Peruvian Goverment organizations

Having a well-defined control of the change processes in the configuration management in the software development life cycle, before and after being put into production environment, implies an effort of development personnel and an additional cost in the maintenance system. The objective of this paper is to establish the guidelines to regulate the activities and tasks during the process of development and maintenance of software-based systems in order to control the changes, integrity and traceability of its configuration, for this purpose it is taken as a reference the peruvian technical standards NTP-ISO/IEC 12207: 2016 for Software and systems engineering, NTPISO/IEC 27001: 2014 for Information security management systems and the methodology MÉTRICA version 3 for the systematization of life cycle of the software activities. The proposal defines the roles and responsibilities, the activities of each thread and the use of control templates, the validation of the was achieved through the analysis of three software systems with results that show that there is a better organization in the development, maintenance, control of the versions of the elements and the percentage of error in the configuration.

Remote Management of Boundary Protection Devices with Information Restrictions

Boundary Protection Devices (BPDs) are used by US Government mission partners to regulate the flow of information across networks of differing security levels. BPDs provide several critical functions, including preventing unauthorized sharing, sanitizing information, and preventing cyber attacks. Their application in national security and critical infrastructure environments (e.g., military missions, nuclear power plants, clean water distribution systems) calls for a comprehensive load monitoring system that provides resilience and scalability, as well as an automated and vendor neutral configuration management system that can efficiently respond to security threats at machine speed. Their design as one-way traffic control systems, however, presents challenges for dynamic load adaptation techniques that require access to application server performance metrics across network boundaries. Moreover, the structured review and approval process that regulates their configuration and use presents two significant challenges: (1) Adaptation techniques that alter the configuration of BPDs must be predictable, understandable, and pre-approved by administrators, and (2) Software can be installed on BPDs only after completing a stringent accreditation process. These challenges often lead to manual configuration management practices, which are inefficient or ineffective in many cases. The Hammerhead prototype, developed as part of the SHARC project, addresses these challenges using knowledge representation, a rule-oriented adaptation bundle format, and an extensible, open-source constraint solver.