Service-oriented Architecture Research Articles

Implementation of Service Oriented Architecture in Mobile Applications to Improve System Flexibility, Interoperability, and Scalability

This research aims to apply Service Oriented Architecture (SOA) to mobile applications to improve the flexibility, interoperability, and scalability of the system. SOA is an approach that enables better integration between different components in an application architecture. Mobile applications, as an integral part of everyday life, require high flexibility and adaptability to changing user needs. The research method used involves application requirements analysis, SOA architecture design, and implementation on an existing mobile application. Through the implementation of SOA, resource management and service distribution become more efficient, making it easy to add or change features without affecting the entire system. Test results show improved application performance and responsiveness, along with the ability to easily integrate services from multiple sources. In addition, the SOA architecture provides flexibility in the development and maintenance of mobile applications, accelerating the development process and minimizing the impact of changes. This research contributes to the development of mobile applications by introducing the SOA approach as an architectural foundation. The implementation of SOA in mobile applications is expected to guide developers in creating systems that are more resilient, adaptive, and easy to integrate with rapidly evolving software environments.

Two-Layer Edge Intelligence for Task Offloading and Computing Capacity Allocation with UAV Assistance in Vehicular Networks.

With the exponential growth of wireless devices and the demand for real-time processing, traditional server architectures face challenges in meeting the ever-increasing computational requirements. This paper proposes a collaborative edge computing framework to offload and process tasks efficiently in such environments. By equipping a moving unmanned aerial vehicle (UAV) as the mobile edge computing (MEC) server, the proposed architecture aims to release the burden on roadside units (RSUs) servers. Specifically, we propose a two-layer edge intelligence scheme to allocate network computing resources. The first layer intelligently offloads and allocates tasks generated by wireless devices in the vehicular system, and the second layer utilizes the partially observable stochastic game (POSG), solved by duelling deep Q-learning, to allocate the computing resources of each processing node (PN) to different tasks. Meanwhile, we propose a weighted position optimization algorithm for the UAV movement in the system to facilitate task offloading and task processing. Simulation results demonstrate the improved performance by applying the proposed scheme.

Good practices in designing a communication channel architecture for secure async flexible distributed collaboration

Abstract In this paper we present a set of good practices in the design of a security-centric architecture for a Communication Channel that can be used to secure a Loosely-Coupled distributed platform, over unreliable communication mediums. The proposed practices are derived from designing a complete architecture that is modular and designed to support principles of Service Oriented Architecture (SOA) and the common functional requirements of a wide range of applications, including cybersecurity, smart power grids and industrial Internet of Things (IoT). The architecture was developed and implemented as part of the BIECO project, and is based around open standards such as Open Platform Communications United Architecture (OPC-UA). The key feature of the architecture is that it enables secure asynchronous near-real-time communication between a large number of nodes in a multimodal setup, without the need of any Service to know its place within the tool-chain. Based on our experience with building this system and based on the good results obtained, we are presenting a list of lessons learnt, recommendations for better communication channel modules within loosely coupled distributed systems.

The Rise of Fintech: A Performance Analysis of Retail Mobile Stock Trading Platforms in India

The financial landscape in India is undergoing a significant transformation propelled by the rise of fintech solutions, notably mobile stock trading apps. These platforms have revolutionized the investment sector by eliminating traditional barriers and providing users with real-time market data, streamlined trading processes, and cost-effective brokerage services. The widespread adoption of mobile trading apps has resulted in a substantial surge in demat accounts and trading volumes, enhancing market liquidity and accessibility for a broader demographic. However, this rapid expansion underscores the importance of implementing robust regulatory measures to protect investors and uphold market integrity. As the fintech industry continues to evolve, it is imperative for stakeholders to prioritize financial literacy initiatives, responsible investing practices, and technological advancements to sustain growth and promote inclusive wealth creation. By leveraging innovative technologies and fostering a culture of informed investing, mobile trading apps have the potential to drive financial inclusion and empower individuals across diverse socioeconomic backgrounds to participate actively in the financial markets. Keywords: fintech, mobile trading apps, financial inclusion, regulatory measures, market integrity

A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation

Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform’s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps.

Software and Architecture Orchestration for Process Control in Industry 4.0 Enabled by Cyber-Physical Systems Technologies

In the context of Industry 4.0, this paper explores the vital role of advanced technologies, including Cyber–Physical Systems (CPS), Big Data, Internet of Things (IoT), digital twins, and Artificial Intelligence (AI), in enhancing data valorization and management within industries. These technologies are integral to addressing the challenges of producing highly customized products in mass, necessitating the complete digitization and integration of information technology (IT) and operational technology (OT) for flexible and automated manufacturing processes. The paper emphasizes the importance of interoperability through Service-Oriented Architectures (SOA), Manufacturing-as-a-Service (MaaS), and Resource-as-a-Service (RaaS) to achieve seamless integration across systems, which is critical for the Industry 4.0 vision of a fully interconnected, autonomous industry. Furthermore, it discusses the evolution towards Supply Chain 4.0, highlighting the need for Transportation Management Systems (TMS) enhanced by GPS and real-time data for efficient logistics. A guideline for implementing CPS within Industry 4.0 environments is provided, focusing on a case study of real-time data acquisition from logistics vehicles using CPS devices. The study proposes a CPS architecture and a generic platform for asset tracking to address integration challenges efficiently and facilitate the easy incorporation of new components and applications. Preliminary tests indicate the platform’s real-time performance is satisfactory, with negligible delay under test conditions, showcasing its potential for logistics applications and beyond.

The Copernicus POD Service

The Copernicus Precise Orbit Determination (CPOD) Service is in charge of computing the precise orbits and auxiliary data files of the Copernicus Sentinel-1, −2, −3 and −6 missions, using the GPS&Galileo observations obtained on-board. The orbit products and auxiliary data files are provided to the corresponding Payload Data Ground Segments (PDGS) and Payload Data Acquisition and Processing (PDAP) components and to external users through the Copernicus Data Space Ecosystem (CDSE).The CPOD Service is supported by the CPOD Quality Working Group (QWG), a group of leading experts on GNSS (Global Navigation Satellite System) and POD, which provides independent orbit solutions and techniques to support the quality control (QC) and the validation of the operational products.The CPOD Service was initially developed in 2013, starting its operational phase in April 2014 after the successful launch of Sentinel-1A. The CPOD Service has accumulated almost 10 years of experience, including its initial development, operations, and periodic evolutions, to the point that currently it is a well-recognized POD Service.This paper shows in detail the architecture of the CPOD Service, its performance and its evolution over the years, and its future outlook.

Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE): protocol for a helix-counterbalanced randomised controlled trial

IntroductionClinical practice guidelines recommend against the routine use of psychotropic medications in residential aged care facilities (RACFs). Knowledge brokers are individuals or groups who facilitate the transfer of knowledge into practice. The objective of this trial is to evaluate the effectiveness and cost-effectiveness of using knowledge brokers to translate Australia’s new Clinical Practice Guidelines for the Appropriate Use of Psychotropic Medications in People Living with Dementia and in Residential Aged Care.Methods and analysisThe Evidence-based Medication knowledge Brokers in Residential Aged CarE (EMBRACE) trial is a helix-counterbalanced randomised controlled trial. The 12-month trial will be conducted in up to 19 RACFs operated by four Australian aged care provider organisations in Victoria, New South Wales, Western Australia and Queensland. RACFs will be randomised to receive three levels of implementation strategies (knowledge broker service, pharmacist-led quality use of medications education activities and distribution of the Guidelines and supporting materials) across three medication contexts (antipsychotics, benzodiazepines and antidepressants). Implementation strategies will be delivered by an embedded on-site aged care pharmacist working at a system level across each participating RACF. All RACFs will receive all implementation strategies simultaneously but for different medication contexts. The primary outcome will be a composite dichotomous measure of 6-month RACF-level concordance with Guideline recommendations and good practice statements among people using antipsychotics, benzodiazepines and antidepressants for changed behaviours. Secondary outcomes will include proportion of residents with Guideline concordant use of antipsychotics, benzodiazepines and antidepressants measured at the RACF-level and proportion of residents with psychotropic medication use, hospitalisation, falls, falls with injury, polypharmacy, quality of life, activities of daily living, medication incidents and behavioural incidents measured at the RACF-level.DiscussionThe EMBRACE trial investigates a novel guideline implementation strategy to improve the safe and effective use of psychotropic medications in RACFs. We anticipate that the findings will provide new information on the potential role of knowledge brokers for successful and cost-effective guideline implementation.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12623001141639. Registered 6 November 2023 — retrospectively registered, https://www.anzctr.org.au/TrialSearch.aspx.

Cross-domain resources optimization for hybrid edge computing networks: federated DRL approach

Due to the dynamic nature of service requests and the uneven distribution of services in the Internet of Vehicles (IoV), Multi-access Edge Computing (MEC) networks with pre-installed servers are often susceptible to insufficient computing power at certain times or in certain areas. In addition, Vehicular Users (VUs) need to share their observations for centralized neural network training, resulting in additional communication overhead. In this paper, we present a hybrid MEC server architecture, where fixed RoadSide Units (RSUs) and Mobile Edge Servers (MESs) cooperate to provide computation offloading services to VUs. We propose a distributed federated learning and Deep Reinforcement Learning (DRL) based algorithm, namely Federated Dueling Double Deep Q-Network (FD3QN), with the objective of minimizing the weighted sum of service latency and energy consumption. Horizontal federated learning is incorporated into the Dueling Double Deep Q-Network (D3QN) to allocate cross-domain resources after the offload decision process. A client-server framework with federated aggregation is used to maintain the global model. The proposed FD3QN algorithm can jointly optimize power, sub-band, and computational resources. Simulation results show that the proposed algorithm outperforms baselines in terms of system cost and exhibits better robustness in uncertain IoV environments.

보험비교플랫폼 규율 방향

Even after the insurance comparison and recommendation services of fintech companies, including big tech companies, were allowed as a regulatory special case, it took more time for the service to start. Now, big tech companies are allowed to enter the insurance market. This is desirable in that it has a net function of bringing competition to the insurance market, rationally adjusting the price of insurance products according to the market mechanism and increasing the convenience of insurance for consumers. However, it is now time to pay attention to prevent consumer damage by framing business conduct regulations well.
 Referring to overseas cases that have experienced such services and faced regulatory concerns before us, we can come to the conclusion that we do not need to be bound by the principle of same function, same regulation. Even among traditional insurance brokers and platform companies, there are significant differences between small fintechs and big techs in terms of market power and group structure. Even if they provide the same service, there is a need to establish an entity-based dual regulatory system. The Korean insurance market is expected to have a greater impact than in the West because it has not experienced traditional insurance brokerage services, and there will be a need for a stronger regulatory framework. As big tech is allowed to enter the new financial market of insurance, it should not accept the strengthened behavioral regulation as an unfair regulation. On the contrary, there is an advantage to expanding insurance services within the framework of legislative regulation if it proves its role in promoting the convenience and welfare of insurance consumers under enhanced behavioral regulation.
 For the time being, the system will be guided by the financial authorities, but we should prepare for legislation. While the focus will be on business conduct regulation, the framework for prudential regulation should also be discussed in stages.

A Distributed Cloud Architecture Based on General De Bruijn Overlay Network

Distributed cloud systems enable the distribution of computing resources across various geographical locations. While offering benefits like accelerated content delivery, the scalability and coherence maintenance of these systems pose significant challenges. Recent studies reveal shortcomings in existing distributed system schemes to meet modern cloud application demands and maintain coherence among heterogeneous system elements. This paper proposes a service-oriented network architecture for distributed cloud computing networks. Using a De Bruijn network as a software-defined overlay network, the architecture ensures scalability and coherence. Through service-based addressing, requests are issued to designated service address bands, streamlining service discovery. The architecture's evaluation through extensive simulations showcases sustainable scalability and inherent load-balancing properties. The paper concludes with insights into future research directions, emphasizing the extension of the proposed architecture to emerging distributed cloud use cases and decentralized security.

A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints

Federated learning is a paradigm that proposes protecting data privacy by sharing local models instead of raw data during each iteration of model training. However, these models can be large, with many parameters, provoking a substantial communication cost and having a notable environmental impact. Reducing communication overhead is paramount but conflictual to maintaining the model’s accuracy. Most research has dealt with the different factors influencing communication reduction separately without addressing their correlations. Moreover, most of them do not consider the heterogeneity of clients’ hardware. Finding the optimal configuration to fulfil all these training aspects can become intractable for classical techniques. This work explores the add-in that multi-objective evolutionary algorithms can provide for solving the communication overhead problem while achieving high accuracy. We do this by 1) realistically modelling and formulating this task as a multi-objective problem by considering the devices’ heterogeneity, 2) including all the communication-triggering aspects, and 3) applying a multi-objective evolutionary algorithm with an intensification operator to solve the problem. A simulated client–server architecture of four devices with four different processing speeds is studied. Both fully connected and convolutional neural network models are investigated with 33,400 and 887,530 weights, respectively. The experiments are performed using the MNIST and Fashion-MNIST datasets. A comparison is made between three approaches using an extensive set of metrics. Results prove that our approach obtains solutions with better accuracy than the full-communication setting and other methods while getting reductions in communications by around 1,000 times in most cases and up to 10,000 times in some cases compared to the maximum communication setting.

A secure and efficient UAV network defense strategy: Convergence of blockchain and deep learning

Unmanned Aerial Vehicles (UAVs) are highly versatile and efficient tools utilized across diverse industries for data collection. However, they are vulnerable to wireless communication and data exchange risks, including unauthorized access, data theft, and network attacks. To address these problems, we introduce a secure and reliable UAV network service architecture that incorporates blockchain and deep learning to provide more secure and efficient network services for UAVs. We propose a UAV cluster identity management module by combining blockchain, encryption algorithms, and digital signatures to enhance the security of UAV communication data transmission. Then, based on machine learning, deep learning, and malicious process detection technology, we propose a real-time secure situational awareness system for UAV cluster terminal devices to enhance the security of the operating environment for UAVs. Finally, we propose a data-trustworthy interconnection platform based on blockchain, smart contracts, and consensus algorithms to realize secure and efficient sharing and transmission of terminal data. The results of the experiments demonstrate the feasibility and effectiveness of our UAV network service architecture.

Microservices and serverless functions—lifecycle, performance, and resource utilisation of edge based real-time IoT analytics

Edge Computing harnesses resources close to the data sources to reduce end-to-end latency and allow real-time process automation for verticals such as Smart City, Healthcare and Industry 4.0. Edge resources are limited when compared to traditional Cloud data centres; hence the choice of proper resource management strategies in this context becomes paramount. Microservice and Function as a Service architectures support modular and agile patterns, compared to a monolithic design, through lightweight containerisation, continuous integration/deployment and scaling. The advantages brought about by these technologies may initially seem obvious, but we argue that their usage at the Edge deserves a more in-depth evaluation. By analysing both the software development and deployment lifecycle, along with performance and resource utilisation, this paper explores microservices and two alternative types of serverless functions to build edge real-time IoT analytics. In the experiments comparing these technologies, microservices generally exhibit slightly better end-to-end processing latency and resource utilisation than serverless functions. One of the serverless functions and the microservices excel at handling larger data streams with auto-scaling. Whilst serverless functions natively offer this feature, the choice of container orchestration framework may determine its availability for microservices. The other serverless function, while supporting a simpler lifecycle, is more suitable for low-invocation scenarios and faces challenges with parallel requests and inherent overhead, making it less suitable for real-time processing in demanding IoT settings.

LEVERAGING CLOUD TECHNOLOGIES AND SERVERLESS ARCHITECTURE FOR EFFICIENT WEB DEVELOPMENT: A CASE STUDY FROM REAL-WORLD APPLICATION

This article provides a review of modern cloud solutions and serverless architecture using Backend as a Service (BaaS) and Function as a Service (FaaS) architecture as an example. In the scope of the article, a parallel is drawn between the consistently growing computing power and cloud technologies' growing popularity and availability for business. The results of an analytical review include a list of the most popular cloud providers from leading corporations and a comparison of low-level and high-level cloud technologies. The advantages and disadvantages of Google Cloud Platform (GCP) and Google Firebase are presented, where GCP is a low-level cloud provider and Firebase is a high-level cloud provider. The importance of understanding the context and specifics of the project when choosing cloud project solutions is emphasized which helps to maintain a balance between flexibility and development efficiency. The study introduces the practical utilization of the Supabase cloud platform for the development of a modern web application. The article convincingly proves the actuality of using Supabase for the development of an information system to optimize the modern personnel recruitment process, indicating specific advantages. An example of Supabase Edge Functions usage to generate feedback using the OpenAI Completions API and the Deno software platform is presented. The article convincingly proves that the use of cloud technologies is a modern strategy for building flexible, efficient, and scalable information systems. The advantages of the usage of the provision of infrastructure provided by world industry leaders are summarized.

Application of cloud computing technology in enterprise resource management

The progress of intelligent manufacturing has made enterprise resource planning (ERP) an essential core technology in the field of intelligent manufacturing. In the process of technology development, enterprises have been looking for a more optimized ERP architecture, and cloud-based ERP is one of the practical and efficient solutions. However, for the application of cloud computing in ERP, the current summary analysis based on this field is not comprehensive enough. In this paper, a comprehensive examination of the real-world implementation of cloud computing in ERP is conducted. It delves into the practical utilization and transformation of service-oriented architecture (SOA) and Model View Controller (MVC) within the context of ERP, while also providing an overview of the merits and drawbacks of SOA technology. At the same time, it summarizes the concept of layering and the practical application of cloud computing in different layers for human resource management system of enterprises. In addition, this paper summarizes the practical applications and development prospects of cloud computing in enterprise resource management, such as resource sharing and virtualization. Finally, the paper summarizes the full text, and puts forward a summary and prospect of the combination and future development of cloud computing and enterprise resource management.

Building a Secure IoT Platform for Smart Home Automation: A Comprehensive Integration

Abstract: The creation and use of a novel Internet ofThings (IoT) platform designed for smart home automation arepresented in this research study. The platform combines powerful hardware elements with cutting-edge software technologies. It makes use of Docker ptimization on, an Ubuntu-based Linux server, and essential utilities like Traefik, MySQL, Node-RED, Mosquitto, Adminer, and InfluxDB. The infrastructure is painstakingly built to provide scalable deployment, effective data management, and smooth communication. The core of the technique is the creation of a Linux server running Ubuntu. A flexible reverse proxy called Traefik ptimizat web traffic and makes sure that components communicate with one other effectively. Docker ptimization on is used for the modular deployment of services,such as the central orchestrator Node-RED, the lightweightMQTT broker services provided by Mosquitto, and MySQL for structured data storage. Time-series data processing and database administration are improved by the combination of Adminer and InfluxDB. The visual programming tool Node- RED acts as the central data flow orchestrator, allowing databases and devices to be connected with ease. Real-time datainterchange is ensured via MQTT implementation usingMosquitto, which is essential for Internet of Things applications.Network protocols, Docker best practices, and optional SSL/TLS implementation are just a few of the security features that provide a stable and secure environment. Security audits are planned on a regular basis to find and fix such weaknesses. Hardware for home automation control includes DHT11 sensors, 4-channel relay modules, and ESP32 development boards. Beyond simple automation, the platform includes functionalities for sensor data collecting, remote device administration, and intuitive appliance control via a Node-RED Dashboard. Applications include temperature, humidity, and air quality monitoring, as well as security and surveillance withbuilt-in cameras and motion sensors.

Validasi Data Teknis Tidak sama dan Optical Distribution Poin (ODP) tidak sama dengan UIM Tools di PT TELKOM

Abstract — At present the public's need for internet network access for voice, data and video services continues to increase, to run these services requires very high bandwidth and internet speed. Fiber To The Home (FTTH) is a telecommunications service architecture that utilizes optical network transmission media that supports transmission at bandwidth and internet speeds of up to 100 Mbps. One of FTTH component is Optical Ditributon Point,so we must equate the existing data in the field and the system .Therefore it is necessary to validate the ODP and the technical data are not the same in order to make it easier for field workers to increase internet speed. Because if validation is not carried out, what will happen is connection loss so that the internet cannot be used even though the bandwidth speed has been increased.Keywords— ODP, FTTH, technical data.

Makelar dalam Transaksi Ekonomi (Analisis Fatwa DSN MUI No. 151/DSN-MUI/VI/2022 Tentang Akad Samsarah)

Brokers in economic transactions are common jobs undertaken by society. However, in practice, brokers often pose problems, especially for consumers or buyers. It is not uncommon for buyers to find that the price set during the transaction is not the price set by the owner of the goods, but rather a price added by the broker. The significant price difference from the original price becomes a separate problem for the community.
 This article aims to explain the practice of brokers in Islam by analyzing the Fatwa DSN MUI NO. 151/DSN-MUI/VI/2022 on Samsarah Contracts. The focus of this article is: What is the nature of brokers in Islam? How does the Fatwa DSN MUI No. 151/DSN-MUI/VI/2022 on Samsarah Contracts play a role in ensuring the legality of broker practices in Indonesia?
 In this article, researchers use a research library approach. Primary data sources include literature on brokers in Islam. In Islam, brokerage is considered an allowed practice; a broker aims to provide assistance to both the buyer and the owner of the goods to be sold. Meanwhile, the role of Fatwa DSN MUI NO. 151/DSN-MUI/VI/2022 has outlined the technical implementation of broker services and provided arguments in accordance with Islamic Sharia teachings.

Multi-Agent System in Web Services

The term "service-oriented architecture" (SOA) refers to a software paradigm for creating systems made up of a variety of services that interact with one another to accomplish a certain task. The communications involve more than just transmitting data back and forth; they also connect two or more services to coordinate the required operations. Cross-platform communication is necessary for the coordinating process when services are spread across several platforms. Several web service standards and specifications are used in the present SOA implementation. Based on the prototype's implementation and simulation, this proposed research study has been validated and evaluated. The suggested cross-platform communications architecture is implemented using NetBeans, JADE, WSIG, and OWL-S. An integrated development environment for Java is offered by Oracle in the form of NetBeans. Telecom Italia's Java Agent DEvelopment Framework (JADE) is an agent software framework that is entirely built in the Java language. Web Service Integration Gateway (WSIG), which helps to facilitate JADE agent services being called by Web service clients. The core fundamental engine of the suggested framework is OWL-S. It is a web ontology language used to describe Semantic Web Services in the Semantic Web's OWL-based framework. A quantitative approach is used in this study's performance analysis and comparative investigation for evaluation and validation. The prototype's major element is the Java agent development framework (JADE), which was used to create a multi-agent system for the agent-based MOM framework that has been presented. The creation of the multi-agent systems was facilitated by the JADE platform. JADE 3.7 was the version that was employed. Two key features of JADE are a FIPA-compliant agent platform and a package for creating Java agents. The implementation results show that the proposed agent-based MOM framework was successful communicate between multiple types of SOA application with a better performance of the average of round-trip time where the proposed framework was successful in responding to all the requests.