Service-oriented Architecture Research Articles

Development of a Service-Oriented Interoperability Framework: The Botswana E-Government System Case Study

Efficient information exchange between government entities and citizens is crucial for effective governmental service delivery. However, e-government systems in developing countries like Botswana face challenges due to a lack of communication and integration among these systems. This case study addresses the interoperability challenges in Botswana's e-government systems by exploring and documenting the development of the e-government service-oriented interoperability framework (e-GSOIF). This framework integrates various technological and methodological approaches to improve service delivery and efficiency. It incorporates service-oriented architecture (SOA), event-driven architecture (EDA), ontologies, a refined software development lifecycle methodology, and the interoperability practical implementation support (IPIS) approach. The study pinpoints key factors impacting e-government system implementation and interoperability in Botswana through interviews, questionnaires, and observation. It also identifies essential technical components for E-Government Interoperability. The e-GSOIF framework is evaluated against the original IPIS framework using exploratory factor analysis and compatibility assessment with predefined functionality criteria, demonstrating its superiority. This paper targets government officials, IT specialists, researchers, and students interested in e-government services interoperability. It offers insights into advancing the landscape of e-government service delivery through an effective interoperability framework.

Conceptual service architecture to synchronise research data management services using machine-actionable data management plans

Researchers of all disciplines produce, share, and reuse data as part of everyday research. Most funders require them to manage and document their data using data management plans (DMPs). DMPs are often static documents that researchers create by answering questions in predefined templates at the beginning of the research and, therefore, may become outdated and obsolete as the project progresses. It is essential to keep the DMP up to date at all stages of the research lifecycle since numerous stakeholders and various services participate in data management that depend on information from them. In this paper, we propose a conceptual service architecture that uses machine-actionable data management plans to automate the exchange and synchronization of information between different semi-automated research data management (RDM) services acting on behalf of different stakeholders. To solve the stated problem, we analyze typical use cases in which the DMPs change and formulate requirements based on which we developed the conceptual architecture. We depict the designed architecture through a set of views, namely physical, development, logical, and process, using UML and BPMN representation that describe the processes required to synchronize DMP information among multiple services. We instantiate it by implementing a service that connects a data repository and a DMP tool. Thus, we evaluate to what extent the defined processes help in keeping DMP contents up to date and which criteria must be fulfilled to keep them highly automated. The result of the paper feeds into a larger discussion on streamlining interconnectivity and machine-actionability across planning, tracking, and assessing research phases. It also facilitates consensus building on enhancing the Research Data Alliance’s recommendation for machine-actionable DMPs.

Подход к внедрению систем поддержки принятия врачебных решений на принципах сервис-ориентированной архитектуры с использованием сервисов цифровой медицинской экосистемы.

Despite the potential effectiveness demonstrated in individual medical organizations, medical decision support systems (DSSMS) have not been widely used in Russia. Based on the provisions of the National Strategy for the Development of Artificial Intelligence for the period up to 2030, approved by the Decree of the President of the Russian Federation, the article formulates the goal of the national plan for the development of artificial intelligence in medicine, identifies the key factors necessary to achieve this goal, as well as tasks that need to be solved to ensure the creation and widespread implementation of effective artificial intelligence. It is proposed to use the principles of service-oriented architecture (SOA) for the implementation of DSS in the digital medical ecosystem, which should contribute to achieving the stated goal. The article describes the key features and benefits of using SOA in the medical ecosystem. A model for the deployment of SPD in the medical ecosystem based on the principles of SOA with justification of key architectural solutions is described. As an example, the architecture of the DSS is described for assessing the patient’s health status at the outpatient stage from the point of view of services and their management. The possibilities and disadvantages of the proposed model for the implementation of the DSS are discussed.

A Secure Data Sharing Model Utilizing Attribute-Based Signcryption in Blockchain Technology.

With the rapid development of the Internet of Things (IoT), the scope of personal data sharing has significantly increased, enhancing convenience in daily life and optimizing resource management. However, this also poses challenges related to data privacy breaches and holdership threats. Typically, blockchain technology and cloud storage provide effective solutions. Nevertheless, the centralized storage architecture of traditional cloud servers is susceptible to single points of failure, potentially leading to system outages. To achieve secure data sharing, access control, and verification auditing, we propose a data security sharing scheme based on blockchain technology and attribute-based encryption, applied within the InterPlanetary File System (IPFS). This scheme employs multi-agent systems and attribute-based signcryption algorithms to process data, thereby enhancing privacy protection and verifying data holdership. The encrypted data are then stored in the distributed IPFS, with the returned hash values and access control policies uploaded to smart contracts, facilitating automated fine-grained access control services. Finally, blockchain data auditing is performed to ensure data integrity and accuracy. The results indicate that this scheme is practical and effective compared to existing solutions.

Models and methods for forming service packages for solving of the problem of designing services in information systems of providers

Today, in the telecommunications industry, service is one of the fundamental concepts. Building a service architecture is a key stage in the service life cycle. Information systems of telecommunications providers are designed, implemented and supported by IT companies based on the End-to-End model. This requires the IT company to solve a number of complex problems. In these conditions, building a service architecture, implementing and providing a service are divided into subproblems. Solutions to subproblems must be integrated to determine the coordinated activities of both the IT company and the provider. In this case, it is necessary to take into account the goals of IT companies, providers and their customers in such a way that it is beneficial to all parties. One of such subproblems is the formation of service packages that the IT company offers to providers. The article proposes formal models for the subproblem of forming service packages that allow taking into account the interests of the IT company and providers. These are multi-criteria nonlinear mathematical programming models. To solve the subproblem of forming service packages, a two-stage algorithm and a modified version of the guided genetic algorithm are proposed. The use of these methods allows us to take into account the interests of the IT company and providers. Also, such important factors that affect the formation of packages as the base price of the service, service dependency, discount system, resource and other constraints of the IT company and providers are taken into account. The two-stage algorithm at the first stage uses classical algorithms for solving the knapsack problem, and at the second stage implements a compromise scheme to improve the solution. The second of the proposed methods uses three types of tools in combination. The first tool controls the convergence of the genetic algorithm. The second tool determines the choice of the best solutions taking into account the features of the multi-criteria problem. The third tool allows to obtain the best solutions to the optimization problem with the simultaneous choice of a discount strategy. Experimental studies have confirmed the effectiveness of the proposed methods. Their ability to form the basis of the technology of forming service packages as a component of the platform for supporting the life cycle of services is also confirmed.

Algorithmic Business Process Optimization: Empowering Operational Excellence with Service-Oriented Architecture (SOA) and Microservices

Algorithmic Business Process Optimization: Empowering Operational Excellence with Service-Oriented Architecture (SOA) and Microservices

Tinjauan Etika Bisnis Islam Dan Fiqih Muamalah Terhadap Praktik Jasa Keperantaraan Dalam Jual Beli Cabai Besar

Brokerage services have experienced growth and development in the business world in society. Business actors, especially large chili farmers, are increasingly relying on intermediary services to facilitate the sale of their crops so that their income can be disbursed more quickly. The aim of this research is to explain the review of Islamic business ethics and muamalah fiqh on the practice of delivery services in buying and selling large chilies in Tegalan Village, Kandat District, Kediri Regency. This research uses a descriptive qualitative approach. Obtaining data through observation, interviews, and documentation is finally analyzed using data reduction, data presentation, and conclusions. Checking the validity of the data uses extended participation techniques, persistence or regularity of observations, and data triangulation. Research findings show that the review of Islamic business ethics which includes unity (tauḫid), equilibrium/balance (al-'adl), free will (free will), and responsibility (responsibility) has not been fully fulfilled in this practice. Furthermore, this practice is partly by the pillars and requirements of muamalah fiqh, namely aqid and ma'qud alaih, but what is not appropriate is related to maudhu' al-aqid and sighat of the contract. The practice of intermediary services in buying and selling large chilies in Tegalan Village, Kandat District, Kediri Regency, involves two transaction schemes. The basic difference between these schemes: there is an additional transaction in the second scheme, namely that the service provider provides capital loans to farmers. This practice uses a samsarah contract, where the intermediary who sells the farmer's chili does not bear the risk but instead charges operational costs to the farmer. These operational costs are not explained in detail to farmers and the prices agreed between intermediaries and market traders are not communicated to farmers.

Intelligent Logistics Warehousing Strategy Based on 5G Network and Cloud Computing in the Era of Big Data

ABSTRACTBased on the resource base of “cloud computing,” a super big data storage center was built to exchange data between companies, units, departments and businesses, management, customers and personnel, so as to ensure the timely and accurate reception of all aspects of information. Using radio frequency identification technology, barcode technology, GPS/GIS (Global Positioning System/Geographic Information System) technology, mobile communication technology, and 5G (5th Generation Mobile Communication Technology) network technology, a new business model was realized. At the same time, SOA (Service Oriented Architecture) structure was adopted to combine decentralized business and SOA architecture in the form of loose coupling, and dynamic binding was adopted to realize dynamic access of cloud logistics warehousing platform. Massive data were collected, analyzed, and preprocessed through big data technology and logistics facilities. Real‐time data transmission was realized through 5G network. At the same time, scene acquisition, modeling, analysis, control, feedback, and other technologies were applied to the logistics system to realize the intellectualization of logistics warehousing services. The receiving and sending business process of B2C (Business‐to‐Consumer) e‐commerce enterprises based on “cloud logistics warehousing” is to take the terminal shipper as the seller and the terminal consignee as the buyer. By integrating the information of all links in the logistics process into the “cloud” platform, various stakeholders can conduct information, capital, and other transactions on this platform, thus ensuring the quality of customer logistics services. The advantage of recognized logistics cloud warehouse is that its application value accounts for 43.1%. The scheme proposed in this paper can shorten the storage time of the warehouse, thus speeding up the operation of the warehouse; it can ensure the quality of each link, thus reducing the operating costs of the warehouse; it can increase the use space of the warehouse and save the manpower of the warehouse; it can improve the operation efficiency of the warehouse, thus improving the economic benefits.

Kafka and Evolution of messaging systems: Impact and adaptability for Middleware

In the evolving landscape of software development, messaging systems play a critical role in ensuring seamless communication between distributed systems. Java Messaging Systems, particularly Java Message Service (JMS), have been pivotal in enabling reliable and asynchronous communication between applications. Over the years, Message Queues (MQ) like IBM MQ and Apache ActiveMQ have built upon JMS principles, further enhancing their robustness. The advent of Apache Kafka marked a revolutionary shift, addressing limitations of traditional MQ systems and redefining how modern applications handle data streams. This paper explores the evolution of messaging systems, with a focus on MQ and Kafka, and examines their impact on Service-Oriented Architecture (SOA) and integration. Keywords: JMS, Messaging systems, MQ, RabbitMQ, SOA, Middleware, Kafka, ActiveMQ

Encryption and Security Enhanced Middleware SOA Solutions for High-Security Applications

This paper examines the security enhancements for middleware layer that play a crucial role in protecting information. In the digital age, the integration of security measures with software architecture is paramount, especially for industries such as banking, healthcare, and high-security applications. These sectors handle sensitive data that requires robust protection from cyber threats. The Service-Oriented Architecture (SOA) is a widely adopted architectural pattern that facilitates the design of modular, interoperable systems. However, to address the escalating risks associated with cybercrime and data breaches, traditional SOA solutions must evolve by incorporating encryption and other advanced security measures. This paper explores how encryption and security- enhanced middleware enhances the overall security for these high-stakes industries. Keywords: SOA, OIC, Webservices, XML, TLS, SSL, Encryption, Data encryption, Encryption at rest. SAML, SSO, Application Security

Design of a Software-Defined Artillery System Architecture

Abstract The rapid development of software-defined technology aligns closely with future trends in artillery system architectures. This paper analyzes these trends and the technical requirements for future artillery development, proposing a software-defined artillery system architecture to meet the need for flexibility and rapid advancement. The proposed architecture features a layered design, standardized interfaces, generalized hardware, software-defined functions, and resource virtualization. By employing a service-oriented software architecture, this system facilitates dynamic adjustment and expansion of artillery functions, thereby shortening the equipment development cycle and improving system flexibility and scalability. Consequently, this architecture can significantly enhance the operational effectiveness and adaptability of artillery systems in complex battlefield environments.

МЕТОДОЛОГІЯ ВПРОВАДЖЕННЯ ІНФОРМАЦІЙНИХ СИСТЕМ ІЗ ВИКОРИСТАННЯМ МІКРОІНТЕРФЕЙСІВ ДЛЯ ПІДВИЩЕННЯ ЯКОСТІ ТА ШВИДКОСТІ ЇХ РОЗРОБКИ

Abstract: Microservices represent a software development approach, a variation of service-oriented architecture, that structures an application as a collection of loosely connected services. The aim of this work is to explore the design and implementation methodology for information systems using micro-interfaces to enhance development quality and speed while simplifying their usage. This work proposes a method for transitioning from a monolithic software architecture to a microservice architecture. A brief review of existing research on architecture reengineering is provided, and the advantages of adopting a microservice approach are highlighted. An experiment with a typical external single-page application illustrates the comparison of the effectiveness and performance of the proposed architectures. The potential future direction of micro-frontend architecture development in combination with WebAssembly is examined, and the advantages and disadvantages of this technology integration are analyzed. Keywords: architecture, interface, micro-interface, microservices, monolithic structure, software applications, WebAssembly.

МЕТОДОЛОГІЯ ВПРОВАДЖЕННЯ ІНФОРМАЦІЙНИХ СИСТЕМ ІЗ ВИКОРИСТАННЯМ МІКРОІНТЕРФЕЙСІВ ДЛЯ ПІДВИЩЕННЯ ЯКОСТІ ТА ШВИДКОСТІ ЇХ РОЗРОБКИ

Abstract: Microservices represent a software development approach, a variation of service-oriented architecture, that structures an application as a collection of loosely connected services. The aim of this work is to explore the design and implementation methodology for information systems using micro-interfaces to enhance development quality and speed while simplifying their usage. This work proposes a method for transitioning from a monolithic software architecture to a microservice architecture. A brief review of existing research on architecture reengineering is provided, and the advantages of adopting a microservice approach are highlighted. An experiment with a typical external single-page application illustrates the comparison of the effectiveness and performance of the proposed architectures. The potential future direction of micro-frontend architecture development in combination with WebAssembly is examined, and the advantages and disadvantages of this technology integration are analyzed. Keywords: architecture, interface, micro-interface, microservices, monolithic structure, software applications, WebAssembly.

Modular Web-based Learning Model to Address Underdeveloped ICT Infrastructure for Smart E-learning Education System

Advancements in Information and Communication Technology (ICT) enhance learning and instructional practices, generating chances for novel techniques and tools while simultaneously transforming the learning model. Historically, smart education models mostly consisted of qualitative investigations that delineated the conceptual structure and its implications for the Smart E-learning Education System (SEES). While these theoretically organized SEES can enhance student learning, facilitate peer and instructor communication, and improve teaching practices—thereby aiding in the comprehension of the status of learners and needs and offering real-time synchronous/asynchronous guidance—many qualitative investigations conducted in the past lack empirical evidence to substantiate the prioritization of E-Learning scheduling. This research first examined the technological barriers to implementing the SEES in developing nations. As a result, the suggested framework for the SEES based on underdeveloped ICT has been introduced. The system utilizes an integrated online/offline Web-Based Learning Model (WLM) incorporating a Service-oriented Architecture (SA) architecture to create SEES. The online mode is enabled for a WLM when an internet connection is accessible. The offline variant of the system is provided in a packed format and is used when Internet access is unavailable in an isolated classroom. A working example was launched to get input from learners and instructors across diverse educational levels. The trial installation and survey results confirm the viability and benefits of the suggested system.

Save A Life Maps-Traffic Clearance System for Emergency Services

ABSTRACT The Save a Life (SAL) Maps addresses the challenge of traffic congestion affecting emergency services and provides swift response during life-critical situations. A path clearance algorithm is integrated into an application, which identifies the most optimal routes enabling emergency services to navigate efficiently. The algorithm incorporates a mechanism that uses micro services to facilitate path clearance for emergency services, provide fastest routes, assist general public in accessing emergency services, and notify the traffic police during high traffic congestion to assist by manually clearing out the path. Docker is employed to containerize the micro services, allowing for efficient deployment and management on the Google Kubernetes Engine platform. This micro services-based algorithm achieves enhanced efficiency, optimal resource utilization, real-time decision-making, scalability, adaptability and offers a reliable solution which highlight the importance of adopting path clearance algorithms and micro services architecture for ambulances enabling a more agile and responsive system.

Design of a microservices-based architecture for residential energy efficiency monitoring

With the significant advancement of electrical infrastructure in the context of smart buildings and smart homes, the need arises to overcome the limitations of the traditional energy efficiency control system based on service-oriented architecture (SOA). To address these challenges, this study proposes a distributed architecture based on microservices, with the main objective of improving the performance and stability of these systems. This proposal seeks to enable end users to effectively monitor and control their electrical devices while effectively integrating them into a wide network of power systems. The proposed architecture relies on a series of cloud services that enable better performance and control in energy efficiency management, highlighting key features of microservices such as fault tolerance, performance, and scalability. Using a structural methodology centered on pre-existing components and an iterative approach, a versatile and scalable architecture was designed that addresses current challenges in energy efficiency management. The results show a significant impact on key performance indicators such as demand response, energy savings, and power quality, highlighting the resilience and scalability of the proposed architecture. The conclusions highlight the importance of energy efficiency in reducing the environmental impact and costs associated with electric power, suggesting future improvements in data access and the implementation of advanced machine learning algorithms.

Computer Networking and Cloud-Based Learning/Teaching Environment Using Virtual Labs Tools: A Review and Future Aspirations

Physical laboratories for practical classrooms in computer networks can be prohibitively expensive, as well as requiring regular hardware/software upgrades. With Netkit and similar software, network laboratories can be set up in a computer lab, but the setup is complicated and each student still needs their own computer. Thanks to the Cloud-based infrastructure, Netkit is now available in pre-configured Amazon elastic compute Cloud (EC2) instances. This research reviews and introduces educational computer networks. Furthermore, a web interface is used to allow remote access to numerous lab scripts instantiated on the Cloud. This study also describes how to use the Cloud to set up and access Netkit, which is open-source and free, but only supports Linux computers. By hosting Netkit in the Cloud, where it can be accessed from any Internet-connected device regardless of the user’s device or operating system (OS), we have made Netkit portable. It was shown how the Cloud architecture of Amazon web services (AWS) holds NetKit-capable virtual machines that instructors and students can create on demand. This eliminates the need to set up specialised labs and enables students to gain practical experience with the principles presented in seminars on computer networks from any Internet-connected computer. Two other Cloud selling advantages are scalability and on-demand pricing. The horizontal elasticity of the Cloud service allows the system to be replicated to serve a much greater demand from users, so we need not worry about its physical configuration/structure. In addition, there is no need to worry about being charged for time not used. Finally, this research provides perspectives, obstacles and open issues that could present useful information for researchers in future studies.

Optimization of datacenter selection through a genetic algorithm-driven service broker policy

Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating the genetic algorithm with service broker policy to assist cloud services in identifying the most suitable datacenters for specific userbases. The effectiveness of our proposed genetic algorithm was rigorously evaluated through experiments conducted on CloudAnalyst platform. The results clearly indicate that our proposed algorithm surpasses existing service broker policies and previous research works done in this field in terms of reducing response time and data processing time. The results analysis validates its efficacy and potential for enhancing cloud service performance and reducing the cost of overall cloud infrastructure.

Comprehensive Analysis of Cloud Computing Performance Factors: Investigating the Impact of Response Time, Load Balancing and Service Broker Policies on Cloud Service Efficiency Using CloudSim Simulation

Cloud performance refers to the efficiency and effectiveness with which a cloud system operates delivering hosted services over the internet. As cloud computing continues to offer flexibility, scalability and computational power monitoring and improving cloud performance is essential. Performance optimization is influenced by factors such as load balancing and service broker policies which impact system response times and overall user experience. This paper provides an in-depth review of key publications and real-time cloud performance tools identifying critical performance factors that affect cloud efficiency. Notably, response time emerged as a fundamental metric for cloud service quality. Using CloudSim simulation we examine cloud performance evaluation criteria and experimentally assess the impact of response time dependencies on broker policies, load balancing techniques and data center distribution. This study offers a framework for understanding cloud performance evaluation and highlights strategies to enhance user experience in diverse cloud environments.

Computing Unit and Data Migration Strategy under Limited Resources: Taking Train Operation Control System as an Example

There are conflicts between the increasingly complex operational requirements and the slow rate of system platform upgrading, especially in the industry of railway transit-signaling systems. We attempted to address this problem by establishing a model for migrating computing units and data under resource-constrained conditions in this paper. By decomposing and reallocating application functions, optimizing the use of CPU, memory, and network bandwidth, a hierarchical structure of computing units is proposed. The architecture divides the system into layers and components to facilitate resource management. Then, a migration strategy is proposed, which mainly focuses on moving components and data from less critical paths to critical paths and ultimately optimizing the utilization of computing resources. Specifically, the test results suggest that the method can reduce the overall CPU utilization by 27%, memory usage by 6.8%, and network bandwidth occupation by 35%. The practical value of this study lies in providing a theoretical model and implementation method for optimizing resource allocation in scenarios where there is a gap between resource and computing requirements in fixed-resource service architectures. The strategy is compatible for distributed computing architectures and cloud/cloud–edge-computing architectures.