Microservice Approach Research Articles

Enhancing Monitoring Performance: A Microservices Approach to Monitoring with Spyware Techniques and Prediction Models.

In today's digital landscape, organizations face significant challenges, including sensitive data leaks and the proliferation of hate speech, both of which can lead to severe consequences such as financial losses, reputational damage, and psychological impacts on employees. This work considers a comprehensive solution using a microservices architecture to monitor computer usage within organizations effectively. The approach incorporates spyware techniques to capture data from employee computers and a web application for alert management. The system detects data leaks, suspicious behaviors, and hate speech through efficient data capture and predictive modeling. Therefore, this paper presents a comparative performance analysis between Spring Boot and Quarkus, focusing on objective metrics and quantitative statistics. By utilizing recognized tools and benchmarks in the computer science community, the study provides an in-depth understanding of the performance differences between these two platforms. The implementation of Quarkus over Spring Boot demonstrated substantial improvements: memory usage was reduced by up to 80% and CPU usage by 95%, and system uptime decreased by 119%. This solution offers a robust framework for enhancing organizational security and mitigating potential threats through proactive monitoring and predictive analysis while also guiding developers and software architects in making informed technological choices.

Exploiting Container-Based Microservices forReliable Smart Mobility Applications

Smart mobility is emerging, addressing heterogeneous scenarios with high impact on technology infrastructures, solutions, and people. Safety and availability are mandatory, forcing the design of new reliable services for localization, health monitoring of the user, maintenance of vehicle, and protection of the environment. This paper proposes a container-based microservice approach to the edge computing in IoT smart mobility scenarios. Since smart mobility backends must manage a large heterogeneity of applications, the proposed approach is promising with respect to the classical solutions (based on "monolithic hardware+software" devices), from the point of view of flexibility, upgradability, security, scalability, and reliability. A demo use case, based on industry-grade hardware and Docker, has been realized and multiple implementations of the same services have been executed in parallel, showing strong independence between them. Moreover, average delays of less than 10 ms are obtained, confirming the usability in several smart mobility (and smart city) applications.

Features of the Implementation of Micro-Interfaces in Information Systems

Microservices are a software development technique, or variant of the service-oriented architecture structural style, that organizes an application as a collection of loosely coupled services. The purpose of the work is to study the methodology for the design and implementation of information systems using micro-interfaces in order to improve the quality and speed of their development and facilitate their use. The article proposes a method of transforming the software system architecture from monolithic to microservice architecture. A brief review of existing architecture reengineering research has been provided and the advantages of a microservice approach have been identified. At the second stage, a transition to a modular architecture with the allocation of functionality into separate modules has been proposed. An experiment with a typical external single page application demonstrates the performance of the proposed algorithm.

Context-Aware System for Information Flow Management in Factories of the Future

The trends of the 21st century are challenging the traditional production process due to the reduction in the life cycle of products and the demand for more complex products in greater quantities. Industry 4.0 (I4.0) was introduced in 2011 and it is recognized as the fourth industrial revolution, with the aim of improving manufacturing processes and increasing the competitiveness of industry. I4.0 uses technological concepts such as Cyber-Physical Systems, Internet of Things and Cloud Computing to create services, reduce costs and increase productivity. In addition, concepts such as Smart Factories are emerging, which use context awareness to assist people and optimize tasks based on data from the physical and virtual world. This article explores and applies the capabilities of context-aware applications in industry, with a focus on production lines. In specific, this paper proposes a context-aware application based on a microservices approach, intended for integration into a context-aware information system, with specific application in the area of manufacturing. The manuscript presents a detailed architecture for structuring the application, explaining components, functions and contributions. The discussion covers development technologies, integration and communication between the application and other services, as well as experimental findings, which demonstrate the applicability and advantages of the proposed solution.

Microservices Approach for Cloud-Based Healthcare Solutions

Microservices Approach for Cloud-Based Healthcare Solutions

Detecting Structured Query Language Injections in Web Microservices Using Machine Learning

Structured Query Language (SQL) injections pose a constant threat to web services, highlighting the need for efficient detection to address this vulnerability. This study compares machine learning algorithms for detecting SQL injections in web microservices trained using a public dataset of 22,764 records. Additionally, a software architecture based on the microservices approach was implemented, in which trained models and the web application were deployed to validate requests and detect attacks. A literature review was conducted to identify types of SQL injections and machine learning algorithms. The results of random forest, decision tree, and support vector machine were compared for detecting SQL injections. The findings show that random forest outperforms with a precision and accuracy of 99%, a recall of 97%, and an F1 score of 98%. In contrast, decision tree achieved a precision of 92%, a recall of 86%, and an F1 score of 97%. Support Vector Machine (SVM) presented an accuracy, precision, and F1 score of 98%, with a recall of 97%.

Revolutionizing Frontend Development: Embracing Micro UI Architecture with Cloud Integration

Purpose: The primary aim of this study is to dissect and highlight the ongoing transformative shift in frontend development practices, predominantly spurred by the adoption of Micro UI architecture and its synergistic integration with cloud services. This transformation is poised to address critical challenges in scalability, modularity, and development efficiency that currently beset web application development. By investigating the theoretical underpinnings and practical applications of Micro UI architecture in tandem with cloud technologies, the study elucidates its potential to revolutionize frontend development, enhance team dynamics, and elevate application performance. Methodology: This article adopts a comprehensive approach to explore the theoretical foundations and practical implications of Micro UI architecture and cloud integration in frontend development. The methodology encompasses a comparative analysis with the microservices approach in backend development, detailed case studies on the implementation of Micro UI with cloud services, and an empirical examination of its effects on development processes and application performance. Through this multifaceted methodology, the article aims to provide a holistic understanding of Micro UI architecture’s role in modern web development. Findings: The findings reveal that Micro UI architecture, characterized by its decoupled, component-based strategy, significantly contributes to simplifying the complexities inherent in modern web development. This architectural approach, when combined with the expansive capabilities of cloud computing, facilitates the development of more resilient, scalable, and performant frontend applications. Additionally, the study finds that this convergence enhances development efficiency, fosters better team collaboration, and promotes a more agile development environment. The integration with cloud services further ensures a seamless and robust user experience globally, underscoring the transformative potential of embracing Micro UI architecture in frontend development. Unique Contribution to Theory, Policy, and Practice: The article makes a unique contribution to the theoretical framework of frontend development by systematically articulating the concept of Micro UI architecture and delineating its integration with cloud technologies. On a practical level, it offers actionable insights and guidelines for development teams and organizations looking to adopt this innovative approach. Policy-wise, it suggests frameworks for standardizing practices and protocols in deploying Micro UI components and integrating cloud services. Recommendations include the adoption of Micro UI architecture as a standard practice in frontend development, the development of best practices for its integration with cloud services, and the encouragement of collaborative efforts across teams to leverage the full potential of this transformative approach. By doing so, the study paves the way for a new era of frontend development that is more scalable, efficient, and conducive to innovation.

Challenges in Adopting and Sustaining Microservice-based Software Development

MS (microservice) has become the latest buzzword in software development. The MS approach to software development offers an alternative to the conventional monolith style. While benefits of MS-based development over monolith style are clear, industry experts agree that neither style provides an absolute advantage in all situations. Proponents contend that an MS approach to software development more readily facilitates mapping organizational changes manifesting from a more dynamic business environment to corresponding IT/IS (information technology/information systems) changes. This article identifies key challenges from the initial decision to adopt MSs to the ongoing task of sustaining the new paradigm over the long haul. It aims to provide insights to those considering MS-based software development.

Software Architecture Between Monolithic and Microservices Approach

Software Architecture Between Monolithic and Microservices Approach

MusicTalk: A Microservice Approach for Musical Instrument Recognition

MusicTalk: A Microservice Approach for Musical Instrument Recognition

METHOD OF CONVERTING THE MONOLITHIC ARCHITECTURE OF A FRONT-END APPLICATION TO MICROFRONTENDS

Web systems have existed for a long time and quite a lot of them have been created. Modern development uses new microservice architectural to improve performance, portability, and other important characteristics. This necessitates the transformation of legacy systems from a monolithic architecture to a microservices one. Such a process is complex and costly, so improving the methods for converting old systems to a new platform is relevant. This research aims to develop a method of applying microfrontends approach for monolithic single page applications (SPA). The article proposes a method of transforming the software system architecture from monolithic to microservice architecture (MSA). Since the client part of the system is considered, the term microfrontend is proposed, as an analog of microservers in the server part of the software systems. A brief review of existing architecture reengineering research is made and the advantages of a microservice approach are identified. The proposed three-stage method differs from the methods by the selection of an additional stage of conversion, which allows to gently change the connections between parts of the monolithic application, which were implemented in the initial monolithic architecture. The first stage is reverse engineering, it is proposed to shift the focus from the search for outdated code to the functional analysis of the program as such. The second stage, a transition to a modular architecture with the allocation of functionality into separate modules is proposed. At the end of the third stage, we have several separate programs (microinterfaces) that are connected to the main program. An experiment with a typical external SPA demonstrates the operation of the proposed algorithm. The system obtained as a result of the transformation is compared with the original one according to the following measurable parameters: production builds building time, size of the main bundle, and first page average load time. All comparisons showed the advantages of the system obtained as a result of the conversion. As a result, the architecture transformation algorithm allows you to obtain a guaranteed better result, taking into account the limitations of the interface SPA, which were not considered by the authors of previous articles.

A general and modular framework for dark web analysis

The dark web, often linked with illegal activities, can be monitored with different solutions. However, these tools are typically purpose-specific and designed for unique use cases. In this study, we propose a flexible and scalable framework that facilitates the easy integration of new workflows for dark web analysis. The design is based on the control, logic and operations layers, supplemented by a tools module, logs management, asynchronous message-based communication and a database. The implementation maps the features into a microservice approach, utilizing the open-source technologies Docker Swarm, Kafka, ELK Stack (Elastic Search, Logstash and Kibana), and PostgreSQL. A workflow to scrape web elements of Tor onion services is deployed and validated, demonstrating considerable framework performance despite the time-consuming task of navigating the dark web. Over 16 h, the framework collected over half million onion domains (84,371 unique ones) and made 78,555 accesses to them.

One-gateway system in managing campus information system using microservices architecture

Universitas Muslim Indonesia (UMI) has developed several applications for managing the campus's digital information and management systems, both internally and externally. However, several applications were previously created in the development of information system applications at UMI. However, these applications were not well-suited for long-term use due to their complexity and lack of integration. Therefore, UMI aims to create a fully integrated and well-managed campus information system by implementing the concept of microservices. The microservices approach involves dividing large applications into smaller interconnected components. This approach facilitates the management of application systems and enables better integration. Moreover, the microservices approach simplifies system maintenance for application developers, as each application is separated into smaller components

MICROGEN IMPLEMENTATION FOR BUILDING ONLINE LEARNING MANAGEMENT SYSTEM WITH MICROSERVICES AND GRAPHQL GENERATOR APPROACH

In an era of education marked by digital transformation, developing a Learning Management System (LMS) can be a challenge that requires an innovative approach. This study proposes a solution by combining the Microgen concept, Microservices approach and GraphQL generator in the development of a revolutionary LMS Pradita. Thanks to this advanced integration, this research succeeded in designing a database schema with MgSchema visualization, enabling adaptive data manipulation with Microgen functions and simplifying development, developing a responsive interface through the GraphQL generator. Thus, this research not only discusses the intricacies of LMS development, but also provides valuable guidance for developers to face the challenges of modern and cutting-edge education.

Implementasi Model Service-Oriented Architecture (SOA) dalam Perancangan Sistem Informasi UMKM

This research focuses on developing a Small and Medium Enterprises (SMEs) Information System architecture using the Service-Oriented Architecture (SOA) and microservices approach. This study successfully integrated SME system services and functionalities encompassing accounting management, financial management, product analysis, stock management, invoicing, and taxation services within an SOA structure. Adopting the principles of microservices, each service was able to isolate information and ensure consistency within its scope. Using CI/CD, service mesh, and the Kubernetes platform facilitated efficient and secure code delivery and effective inter-service communication management. This research demonstrates the importance of service-oriented architecture and microservices in building a modular, flexible, and customizable SME information system that can reuse resources and reduce dependency on back-end applications. As a result, the system produced can be easily adapted and enhanced to meet changing policy and business needs.

DESIGN AND DEVELOPMENT OF BACKEND APPLICATION FOR THESIS MANAGEMENT SYSTEM USING MICROSERVICE ARCHITECTURE AND RESTFUL API

A thesis is a scientific work completed by students with the aim of developing the knowledge gained during the lecture period. Students at Universitas Trunojoyo Madura (UTM), Faculty of Engineering, particularly Informatics Engineering, carry out their theses manually and on paper. Thesis Management System (TMS) is software designed to help with the thesis execution process by reducing paper usage and increasing time efficiency. Monolithic system development can disrupt the service process if improvements are being made to the system. Therefore, in this research, a Thesis Management System (TMS) will be built using a microservice approach to make it easier to maintain and develop the system, for example, system scalability. As a means of communication between services, TMS is designed and developed using the REST API. TMS has undergone system performance testing to verify that it performs well under certain conditions. The results show that the number of requests increases the performance response time, CPU usage, and memory consumption, with an average resource usage of each service based on a response time of 61.64 ms, CPU usage of 8.64%, and memory usage of 89.47 Mb. As the number of requests on the service increases, so does resource usage in each service, but this has no effect on device performance because the increase is so low.

Digital Twin is a complex of microservices

Industry 4.0 is an actively developing concept, of which the concept of the Digital Twin is becoming a part. The digital twin is a complex cyber-physical system that consists of many components. One of the main tasks in the construction of a twin is to organize the interaction of the parts of the twin with each other. Previously, an approach called the enterprise service bus was used, but over the years of its use it became clear that it is not suitable for constantly evolving and growing systems. The digital twin is just such a system and therefore it is required to use a different approach, called microservice. If we imagine the parts of the twin as a set of microservices, then it will be possible to create a system suitable for constant evolution and replacement of its parts. This approach was used to solve the problem of building a prototype digital twin of methanol production. The solution of this problem showed the possibility of using a microservice approach.

A Micro-Service Approach to Cloud Native RAN for 5G and Beyond

A Micro-Service Approach to Cloud Native RAN for 5G and Beyond

A Microservice-based Software Architecture for Improving the Availability of Dental Health Records

In order to keep accessible, the patient care information recorded by a dental provider, a software architecture must be designed to allow availability among the different providers.
 In this research, a software architecture based on the Microservices approach is designed to enable the availability of dental medical records. The quality attributes and functional requirements were identified to design the architecture, determining that it should be composed of 4 Microservices, Patient, Dental Medical Record, Odontogram and Dental Service Provider; each microservice implements its database, the secure communication between the microservices and the clients is done through an API Gateway of HTTP resources and an authentication token.
 To evaluate the software architecture, a prototype was developed in which each component was deployed in containers using the Microsoft Azure App Service. On this prototype load tests were performed to evaluate Availability and Performance determining that up to 21 dental records per second can be available with 100% availability, and if the demand of requests increases the architecture scales automatically.

Разработка архитектуры рекомендательной системы по выбору онлайн-курсов

The article provides a rationale for the relevance of developing a recommender system in the field of e-learning. The main approaches to building a recommender system are analyzed: collaborative, content and hybrid filtering. The main objects of the recommender system for choosing online courses are presented: the student, training modules (online courses), elements of knowledge that the user can receive at the end of the training. In algorithmic support, methods for creating recommender systems, such as machine learning, neural networks, genetic algorithms, are considered. Problems in the methods of building recommender systems have been identified: sparseness; cold start; scalability; searching for elements that are most likely to be preferred by the user from a common set of elements. The main problem of recommender systems is to obtain an accurate and high-quality recommendation for the selection of educational objects in accordance with user preferences. It is concluded that it is necessary to build an architecture of a recommender system, including a model of an individual learning trajectory. Filtration of educational objects occurs with the help of a genetic algorithm. The expediency of using a microservice approach to create a web application is determined. The functional tasks of the developed system are highlighted, such as data collection, analysis of user requests, the formation of educational objects using an individual learning trajectory and the issuance of recommendations for choosing online courses. An algorithm for the functioning of the recommender system, a scheme for the operation of the recommender system, as well as information support for the operation of this system have been developed. A general approach to the development of a universal recommender system that can be integrated into the client's service is proposed. The purpose of developing a recommender system for choosing online courses is to provide students with the most appropriate learning objects (sequence of objects) to study in accordance with the characteristics of the student and fragments of knowledge (competencies).