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Journal articles on the topic 'Scalable Database Architecture'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Gupta, Vicky Kumar. "Java Full Stack Development for Robust and Scalable Enterprise Architecture." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03417.

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Abstract: In the era of digital transformation, enterprises demand robust, scalable, and maintainable software architectures that can support dynamic business needs. Java Full Stack Development has emerged as a comprehensive approach to address these challenges, integrating frontend, backend, and database technologies to deliver end-to-end enterprise solutions. This paper explores the key components and best practices in Java Full Stack Development, including the use of modern frontend frameworks (e.g., Angular, React), backend technologies (e.g., Spring Boot, RESTful APIs), and databases (SQL

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Vikas, Prajapati. "Cloud-Based Database Management: Architecture, Security, challenges and solutions." Journal of Global Research in Electronics and Communications (JGREC) 1, no. 1 (2025): 07–13. https://doi.org/10.5281/zenodo.14934833.

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The rapid evolution of cloud computing has revolutionized database management, offering scalable, flexible, and cost-effective solutions for managing large volumes of data. Cloud computing has transformed database management by providing scalable, flexible, and cost-effective solutions for handling massive volumes of data. Cloud-Based Database Management Systems (CDBMS) eliminate the need for extensive on-premise infrastructure, enabling organizations to focus on core operations. These systems leverage advanced architectures, including layered designs that enhance scalability, interoperability

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Kazheen, S. . Muhammad, and Maseeh Yasin Hajar. "Scalable Database Solutions in the Cloud Era: Challenges and Best Practices." Engineering and Technology Journal 10, no. 05 (2025): 5192–204. https://doi.org/10.5281/zenodo.15532508.

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Cloud computing has revolutionized data management, creating demand for highly scalable and adaptive database systems. Traditional architecture has given way to cloud-native databases that offer elasticity, modularity, and real-time responsiveness. This paper reviews modern approaches to building scalable cloud databases, highlighting critical challenges and emerging solutions. Key advancements include microservices-based architecture and intelligent tuning systems like CDBTune and HUNTER, which use AI to optimize performance under dynamic workloads. Security is addressed through homomorphic e

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Shinu Pushpan. "Multi-Tenant Architecture: A Comprehensive Framework for Building Scalable SaaS Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 1117–26. https://doi.org/10.32628/cseit241061151.

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Multi-tenant architecture has emerged as a fundamental paradigm in modern software development, particularly in Software as a Service (SaaS) applications where multiple organizations share computing resources while maintaining data isolation. This article presents a comprehensive framework for understanding and implementing multi-tenant systems, focusing on essential architectural decisions and design patterns that ensure scalability, security, and resource efficiency. The article examines the evolution from single-tenant to multi-tenant architectures, analyzes various data partitioning strate

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Sharma, Yashraj, and Yashasvi Sharma. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research -GRANTHAALAYAH 7, no. 7 (2019): 351–59. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.777.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also som

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Yashraj, Sharma, and Sharma Yashasvi. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research - Granthaalayah 7, no. 7 (2019): 351–59. https://doi.org/10.5281/zenodo.3364448.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also some features o

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Singhal, Harshul, Arpit Saxena, Nitesh Mittal, Chetna Dabas, and Parmeet Kaur. "PolyGlot Persistence for Microservices-Based Applications." International Journal of Information Technologies and Systems Approach 14, no. 1 (2021): 17–32. http://dx.doi.org/10.4018/ijitsa.2021010102.

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Traditionally, applications have used a single database to fulfill their storage requirements. However, limiting storage to a specific type of database system may result in a compromise in some functionalities of the application due to database features. This paper proposes an architectural framework for an application to exploit heterogeneous databases with a polyglot approach. A working application to demonstrate the use of different databases for various modules of an application is presented. Two instances of MongoDB and a single instance of MySQL have been used in the proposed application

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Ferretti, Luca, Fabio Pierazzi, Michele Colajanni, and Mirco Marchetti. "Scalable Architecture for Multi-User Encrypted SQL Operations on Cloud Database Services." IEEE Transactions on Cloud Computing 2, no. 4 (2014): 448–58. http://dx.doi.org/10.1109/tcc.2014.2378782.

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Shah, Arpita, and Narendra Patel. "Efficient and scalable multitenant placement approach for in-memory database over supple architecture." Computer Science and Information Technologies 1, no. 2 (2020): 39–46. http://dx.doi.org/10.11591/csit.v1i2.p39-46.

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Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in-memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload pr

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Shah, Arpita, and Narendra Patel. "Efficient and scalable multitenant placement approach for in-memory database over supple architecture." Computer Science and Information Technologies 1, no. 2 (2020): 39–46. http://dx.doi.org/10.11591/csit.v1i2.pp39-46.

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Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in-memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload pr

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Arpita, Shah, and Patel Narendra. "Efficient and scalable multitenant placement approach for in-memory database over supple architecture." Computer Science and Information Technologies 1, no. 2 (2020): 39–46. https://doi.org/10.11591/csit.v1i2.p39-46.

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Of late Multitenant model with In-Memory database has become prominent area for research. The paper has used advantages of multitenancy to reduce the cost for hardware, labor and make availability of storage by sharing database memory and file execution. The purpose of this paper is to give overview of proposed Supple architecture for implementing in-memory database backend and multitenancy, applicable in public and private cloud settings. Backend in-memory database uses column-oriented approach with dictionary based compression technique. We used dedicated sample benchmark for the workload pr

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Theofilou, Asterios, Stefanos A. Nastis, Michail Tsagris, Santiago Rodriguez-Perez, and Konstadinos Mattas. "Design and Implementation of a Scalable Data Warehouse for Agricultural Big Data." Sustainability 17, no. 8 (2025): 3727. https://doi.org/10.3390/su17083727.

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The rapid growth of agricultural data necessitates the development of storage systems that are scalable and efficient in storing, retrieving and analyzing very large datasets. The traditional relational database management systems (RDBMSs) struggle to keep up with large-scale analytical queries due to the volume and complexity inherent in those data. This study presents the design and implementation of a scalable data warehouse (DWH) system for agricultural big data. The proposed solution efficiently integrates data and optimizes data ingestion, transformation, and query performance, leveragin

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Vipul, Kumar Bondugula. "MANAGING CONFLICT RATE REDUCTION IN SCALABLE DISTRIBUTED DATABASE SYSTEMS." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 9, no. 1 (2023): 1–23. https://doi.org/10.5281/zenodo.15356925.

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Databases are foundational components in modern computing systems, used to store, manage, and retrieve structured data efficiently. As data volumes and access requirements grow, traditional centralized databases often struggle to meet performance, availability, and fault tolerance demands. To address these limitations, distributed databases have emerged as a scalable solution, spreading data across multiple nodes or geographic locations. This architecture improves system resilience and enables faster access to data by colocating it closer to users. However, distributed databases also introduce

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Cathey, Rebecca J., Steven M. Beitzel, Eric C. Jensen, David Grossman, and Ophir Frieder. "Using a relational database for scalable XML search." Journal of Supercomputing 44, no. 2 (2007): 146–78. http://dx.doi.org/10.1007/s11227-007-0153-1.

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Gupta, Sonali, and Komal Kumar Bhatia. "Design of a Parallel and Scalable Crawler for the Hidden Web." International Journal of Information Retrieval Research 12, no. 1 (2022): 1–23. http://dx.doi.org/10.4018/ijirr.289612.

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The WWW contains huge amount of information from different areas. This information may be present virtually in the form of web pages, media, articles (research journals / magazine), blogs etc. A major portion of the information is present in web databases that can be retrieved by raising queries at the interface offered by the specific database and is thus called the Hidden Web. An important issue is to efficiently retrieve and provide access to this enormous amount of information through crawling. In this paper, we present the architecture of a parallel crawler for the Hidden Web that avoids

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Vijaya Kumar Katta. "Leveraging AWS cloud native services for scalable application architectures." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 2108–20. https://doi.org/10.30574/wjarr.2025.26.2.1853.

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AWS cloud-native services enable organizations to build scalable and resilient applications in today's transformed application development landscape. AWS has pioneered technologies that have become cornerstones of modern application architecture, offering comprehensive tools for implementing sophisticated solutions. The document examines serverless computing paradigms through AWS Lambda and API Gateway, highlighting their evolution, features, and best practices for implementation. It delves into container orchestration with Amazon ECS and EKS, comparing their capabilities and introducing Farga

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Malliga, P. "Database Services for Cloud Computing – An Overview." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 3 (2012): 67–70. http://dx.doi.org/10.24297/ijct.v2i3a.2674.

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Cloud computing has revolutionized the way computinginfrastructure is abstracted and used. There is a proliferation ofnumber of applications which leverage various cloud platforms,resulting in a tremendous increase in the scale of data generated aswell as consumed by such applications. This paper reviews thefeatures of Cloud computing and then gives a survey of differentdatabase architecture for cloud computing. Scalable databasemanagement systems are a crucial part of the cloud infrastructurewhich includes both update intensive workloads and decisionsupport systems. The paper presents an orga

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Akula, Arvind Kumar. "Leveraging AWS and Java Microservices: An Analysis of Amazon\'s Scalable E-commerce Architecture." International Journal for Research in Applied Science and Engineering Technology 12, no. 9 (2024): 1051–63. http://dx.doi.org/10.22214/ijraset.2024.64275.

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Abstract: This article presents a comprehensive case study of Amazon's journey in building a robust and scalable e-commerce platform capable of handling millions of daily transactions while maintaining high availability and performance. We examine the critical architectural decisions that facilitated Amazon's transition from a monolithic structure to a microservices-based architecture, leveraging Java and various AWS cloud services. The article explores key components of Amazon's scalable infrastructure, including the implementation of DynamoDB for high-performance database needs and the use o

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Mahesh, Kumar Goyal, and Chaturvedi Rahul. "The Role of NoSQL in Microservices Architecture: Enabling Scalability and Data Independence." European Journal of Advances in Engineering and Technology 9, no. 6 (2022): 87–95. https://doi.org/10.5281/zenodo.14770388.

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Microservices architecture has completely changed how software systems are architected and are being constructed and the advantages are enhanced agility, scalability, and resilience. In this paper, we study the critical role NoSQL databases play in driving microservices into the success they enjoy today, with respect to scalability and data independence. Unlike relational databases, NoSQL databases have different data models and are distributed which suit the principles of microservices and each service can pick the most suitable database for the specific data it needs. The purpose of this pol

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Lee, Daewook, Joonho Kwon, Sangjun Lee, Seog Park, and Bonghee Hong. "Scalable and efficient web services composition based on a relational database." Journal of Systems and Software 84, no. 12 (2011): 2139–55. http://dx.doi.org/10.1016/j.jss.2011.05.068.

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Vardhineedi, Padma naresh, and Aditya Dayal Tyagi. "Operational Database Architecture for Biometrics: Design and Implementation Following IEEE AutoTest Standards." International Journal of Research in all Subjects in Multi Languages 13, no. 3 (2025): 68–88. https://doi.org/10.63345/ijrsml.v13.i3.5.

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Database architectures for biometrics have undergone revolutionary changes in the last decade, with growing demands for scalability, security, and efficiency in processing large-scale biometric data. While tremendous progress has been made, there are still some research gaps in optimizing the performance, security, and integration of biometric databases, especially in the context of emerging technologies such as cloud computing, machine learning, and blockchain. While existing research has been concentrated on improving data retrieval times, system reliability, and security of sensitive biomet

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Ghazal, Ahmad, Zhiyuan Liang, Sunny Bains, and Hanumath Maduri. "OSSInsight: Scalable GitHub Analysis." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4321–24. http://dx.doi.org/10.14778/3685800.3685865.

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GitHub is a platform hosting code, enabling collaboration, and supporting version control for a global community of over 100 million developers. The need for free tools is crucial for researching open-source software. Based on our research, we found out that existing tools lack real-time GitHub data processing or have limited functionalities. This demonstration presents OSSInsight, an open source tool for researching and analyzing GitHub repositories. We first present the architecture of the tool including its access to nearly 7 billion archived & real time data and how it is powered by Ti

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Syed, Ashraf. "Performance Analysis of Oracle APEX Applications in Multi-Tenant Cloud Environments." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem03278.

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The rapid adoption of multi-tenant cloud environments has transformed how enterprises deploy database- driven applications, offering cost efficiency and streamlined management. Oracle Application Express (APEX), a leading low-code platform integrated with Oracle Database, is increasingly utilized in such setups to develop scalable web applications. This paper investigates the performance of APEX applications within multi-tenant cloud environments, leveraging Oracle Database Multitenant architecture. We configured a container database (CDB) hosting multiple pluggable databases (PDBs), each runn

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A. Karunamurthy, Dr. "SECURE AND SCALABLE WORDPRES DEPLOYMENT ON AWS WITH RDS." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04077.

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Abstract This paper digital landscape, ensuring high availability, scalability, and security for web applications is crucial. This project focuses on deploying a secure and scalable WordPress website on Amazon Web Services (AWS) using industry best practices. By leveraging AWS services such as EC2, Auto Scaling, RDS, S3, VPC, IAM, and Security Groups, this deployment achieves high performance, reliability, and security. The architecture includes Amazon EC2 instances running WordPress in an Auto Scaling Group, ensuring seamless horizontal scalability. Amazon RDS is used for the MySQL database,

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Ovcharuk, Iryna, and Illia Tykhonkov. "Framework Architecture for Designing High-Load Web Applications." Digital Platform: Information Technologies in Sociocultural Sphere 6, no. 2 (2023): 431–41. https://doi.org/10.31866/2617-796X.6.2.2023.293618.

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<strong>The purpose of the article </strong>is to describe the architecture of the proprietary Minegraph framework for designing a simplified process of developing modern high-load web applications. <strong>The research methods </strong>are a review and analysis of modern technologies for developing architecture and designing frameworks. <strong>The novelty of the study </strong>is the analysis of frameworks for developing web applications, their features and applications depending on the tasks, and the analysis of their architecture. The article focuses on the problem of using

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Sun, Xiaochun, Chenmou Wu, and Shuqun Yang. "SFCA: A Scalable Formal Concepts Driven Architecture for Multi-Field Knowledge Graph Completion." Applied Sciences 13, no. 11 (2023): 6851. http://dx.doi.org/10.3390/app13116851.

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With the proliferation of Knowledge Graphs (KGs), knowledge graph completion (KGC) has attracted much attention. Previous KGC methods focus on extracting shallow structural information from KGs or in combination with external knowledge, especially in commonsense concepts (generally, commonsense concepts refer to the basic concepts in related fields that are required for various tasks and academic research, for example, in the general domain, “Country” can be considered as a commonsense concept owned by “China”), to predict missing links. However, the technology of extracting commonsense concep

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Suchismita Das. "Scalable Cloud Architecture for Variable Traffic Management: Insights from a Leading Travel Platform." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 3023–31. https://doi.org/10.32628/cseit251112308.

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This article examines Airbnb's sophisticated approach to managing seasonal traffic fluctuations across its global travel platform. This article presents an in-depth analysis of the company's cloud-native infrastructure, highlighting the critical role of Kubernetes in orchestrating dynamic resource allocation during peak periods. This article explores Airbnb's innovative implementation of distributed caching mechanisms and database optimization techniques, which together form a robust foundation for handling surge capacity. This article investigates the platform's comprehensive monitoring syste

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Zhou, Jiashun, Na Wang, Aodi Liu, Wenjuan Wang, and Xuehui Du. "CBCS: A Scalable Consortium Blockchain Architecture Based on World State Collaborative Storage." Electronics 12, no. 3 (2023): 735. http://dx.doi.org/10.3390/electronics12030735.

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In the big data environment, data are characterized by a large volume, various types, and rapid changes. The consortium blockchain applied in this environment faces the problem of excessive storage of the ledger, and the ledger handling different types of business needs to be isolated to ensure the ledger’s security. To this end, this paper proposes a scalable consortium blockchain architecture based on world state collaborative storage (CBCS). First, a business world state database update method is designed based on sparse Merkle multiproofs, where the collaborative storage of world state is

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Dewan, H. M., S. J. Stolfo, and L. Woodbury. "Scalable Parallel and Distributed Expert Database Systems with Predictive Load Balancing." Journal of Parallel and Distributed Computing 22, no. 3 (1994): 506–22. http://dx.doi.org/10.1006/jpdc.1994.1107.

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Palma, V., R. Spallone, G. Cicone, G. Lops, and R. Rinauro. "SCALABLE AR FOR BIM ON TELECOMMUNICATION NETWORK SITES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022 (February 25, 2022): 409–14. http://dx.doi.org/10.5194/isprs-archives-xlvi-2-w1-2022-409-2022.

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Abstract. A growing number of research works, experiments and applications is investigating the potential at the intersection of augmented reality (AR) and the architecture, engineering, and construction (AEC) industry. Project management, project communication, collaborative design, maintenance and construction progress documentation, construction site safety, and training are some of the cases that can benefit from blending real and virtual views through mobile devices. In recent years, research also highlighted how mixed reality and building information modeling (BIM) could cooperate to pro

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Gadia, Riddham, Rushank Shah, Shashank Varshney, and Vinaya Sawant. "A System on Automated Database and API (Application Programming Interface) Management." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 3226–34. http://dx.doi.org/10.22214/ijraset.2022.41827.

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Abstract: Web development is a skill that is high in demand, but acquiring it requires a lot of hard work and experience. Managing the frontend is easy but managing the backend and the database is highly daunting. It requires lots of practice. Hence this makes web development complicated. So, a brief analysis has been done on the existing system like Amazon API Gateway, Firebase, and Google Apigee. Also, this paper shows a comparative study of various data transfer formats and techniques. This paper mainly focuses on a novel approach for automated database and API management that resolves the

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Roth, Jan A., Nicole Goebel, Thomas Sakoparnig, et al. "Secondary use of routine data in hospitals: description of a scalable analytical platform based on a business intelligence system." JAMIA Open 1, no. 2 (2018): 172–77. http://dx.doi.org/10.1093/jamiaopen/ooy039.

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Abstract We describe a scalable platform for research-oriented analyses of routine data in hospitals, which evolved from a state-of-the-art business intelligence architecture for enterprise resource planning. This platform involves an in-memory database management system for data modeling and analytics and a high-performance cluster for more computing-intensive analytical tasks. Setting up platforms for research-oriented analyses is a highly dynamic, time-consuming, and costly process. In some health care institutions, effective research platforms may be derived from existing business intellig

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Bayya, Anil Kumar. "Building Robust Fintech Reporting Systems Using JPA with Embedded SQL for Real-Time Data Accuracy and Consistency." Eastasouth Journal of Information System and Computer Science 1, no. 01 (2023): 119–31. https://doi.org/10.58812/esiscs.v1i01.480.

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In the rapidly evolving fintech domain, the need for high-throughput, low-latency, real-time reporting systems has increased due to rising transaction volumes. This paper examines the architectural design and technical implementation of fintech reporting systems integrating Java Persistence API (JPA) with embedded SQL, ensuring data accuracy, efficient query execution, and transaction consistency. JPA, an Object-Relational Mapping (ORM) framework, abstracts interactions between Java objects and relational databases, simplifying development through entity mapping and reducing boilerplate code.

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Poudel, Manoj, Rashmi P. Sarode, Yutaka Watanobe, Maxim Mozgovoy, and Subhash Bhalla. "Processing Analytical Queries over Polystore System for a Large Astronomy Data Repository." Applied Sciences 12, no. 5 (2022): 2663. http://dx.doi.org/10.3390/app12052663.

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There are extremely large heterogeneous databases in the astronomical data domain, which keep increasing in size. The data types vary from images of astronomical objects to unstructured texts, relations, and key-values. Many astronomical data repositories manage such kinds of data. The Zwicky Transient Facility (ZTF) is one such data repository with a large amount of data with different varieties. Handling different types of data in a single database may have performance and efficiency issues. In this study, we propose a web-based query system built around the Polystore database architecture,

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El-Taj, Homam, Amena Khoja, Basmah Alsharif, Dana Alsulami, and Jumaina Abdulmajed. "ACCESS DETECTION SYSTEM ON WEB CAMERAS AND MICROPHONES." International Journal of Network Security & Its Applications 17, no. 3 (2025): 13–32. https://doi.org/10.5121/ijnsa.2025.17302.

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The proliferation of unauthorized access to webcams and microphones poses significant risks to user privacy and security. Current tools in the market fail to provide comprehensive detection and prevention mechanisms, often lacking hybrid capabilities and quick responses. SilentEye is a proposed system designed to address these gaps by integrating active monitoring, a database-driven detection approach, and automated mitigation features. Built for Windows PCs, SilentEye combines PowerShell scripts, Python-based interfaces, and MySQL databases to detect and respond to both known and unknown thre

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Lasantha, N. W. Chanaka, Ruvan Abeysekara, and M. W. P. Maduranga. "Enhancing Security in Database Grid Infrastructure for Storage Clusters." WSEAS TRANSACTIONS ON COMPUTERS 22 (November 30, 2023): 233–42. http://dx.doi.org/10.37394/23205.2023.22.27.

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This research project primarily focused on improving security by addressing vulnerabilities and creating a cost-scalable storage cluster solution, for applications. The Oracle Grid Infrastructure for Storage Clusters (OGISC) represents cutting-edge advancements in this field. The research extensively explores the philosophy of OGISC. Explains its core methodology. Recognizing the weaknesses of existing security mechanisms, we propose a solution to enhance security measures. A key aspect of our investigation involves integrating Glusterfs, a system known for its ability to scale linearly. We de

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Kasprzyk, Jean-Paul, Gilles-Antoine Nys, and Roland Billen. "Towards a multi-database CityGML environment adapted to big geodata issues of urban digital twins." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W10-2024 (May 31, 2024): 101–6. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w10-2024-101-2024.

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Abstract. This paper investigates the challenges of implementing the CityGML standard within database environments for managing urban digital twins (UDT), with a particular focus on addressing big geodata issues. CityGML stands as a critical standard for representing and exchanging 3D urban models and thematic data, essential for effective urban planning and infrastructure management. However, integrating CityGML into databases poses challenges due to the dual requirements of geospatial and semi-structured data. While the former imposes a certain rigor in its formalism, the second benefits fro

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Abbasi, Maryam, Marco V. Bernardo, Paulo Váz, José Silva, and Pedro Martins. "Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study." Information 15, no. 9 (2024): 574. http://dx.doi.org/10.3390/info15090574.

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The increasing complexity of managing modern database systems, particularly in terms of optimizing query performance for large datasets, presents significant challenges that traditional methods often fail to address. This paper proposes a comprehensive framework for integrating advanced machine learning (ML) models within the architecture of a database management system (DBMS), with a specific focus on PostgreSQL. Our approach leverages a combination of supervised and unsupervised learning techniques to predict query execution times, optimize performance, and dynamically manage workloads. Unli

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Wang, Hui Zhe, Guo Wen Lin, Jian Qin Wang, Wan Lin Gao, Yi Fei Chen, and Qing Ling Duan. "Management of Big Data in the Internet of Things in Agriculture Based on Cloud Computing." Applied Mechanics and Materials 548-549 (April 2014): 1438–44. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.1438.

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Internet of Things (IoT) is playing a more and more important role in modern agriculture development. However, problems of efficient storing and reasoning those massive heterogeneous sensor data collected from variety kinds of sensing equipment need to be resolved to implement Internet of Things in agriculture. This paper explores the architecture of Internet of Things in agriculture with heterogeneous sensor data, and proposes a design of implementation to Internet of Things in agriculture based on cloud computing. The design is based on two-tier storage structure of HBase, which is a distrib

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Researcher. "ORACLE 19C SHARDING: A COMPREHENSIVE GUIDE TO MODERN DATA DISTRIBUTION." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 637–47. https://doi.org/10.5281/zenodo.13880818.

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ABSTRACTOracle 19C Sharding is a new feature that represents a data management capability that empowers users to the arrangement of one database spread across a collection of databases (shards). They do not have hardware or software systems in place for this method. Enhancing scalability and availability while ensuring disaster recovery on a scale is crucial for mission critical applications by dividing data into smaller fragments which makes it easy to handle. Oracle 19c Sharding enhances reliability by minimizing the chance of bottlenecks and vulnerabilities in a system. Oracle Sharding supp

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Dhruv Patel. "Leveraging Database Technologies for Efficient Data Modeling and Storage in Web Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 4 (2024): 357–69. https://doi.org/10.32628/cseit25113374.

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Today’s data-intensive digital environment is populated with web applications in every industry that hinge on a large amount of diverse and dynamic data, which requires sophisticated systems for managing this data in applications. The importance of data modelling and storage is discussed in this study the development of efficient, scalable, and reliable web applications. It is detailed in terms of data modeling fundamentals, such as the identification of the entities, mapping relationships, and optimizing the schema to ensure the data remains intact and the application logic is simple. It is a

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Sutanto, Sutanto, Waliadi Gunawan, and Faeshal Faeshal. "ARSITEKTUR CONTAINER DOCKER PADA APLIKASI EXPERT ASSIST DENGAN TEKNOLOGI NODE.JS, EXPRESS FRAMEWORK & CLOUD DATABASE NoSQL MONGODB ATLAS." Jurnal Sistem Informasi dan Informatika (Simika) 4, no. 1 (2021): 73–89. http://dx.doi.org/10.47080/simika.v4i1.1189.

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In the world of software development, the crusial thing we must do is design the architecture. We can said the system is good if it has a good architecture too, because the system architecture will affect the performance of applications itself, from the architecture we can also read what technology is used until security aspect. The main problems that i want to solve are two things, first the problem in the process of software development which will be solve by implementing Docker container architecture & Node.JS and second problems is in society that will be solve by the Expert Assist app

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Ferrari, Paolo, Emiliano Sisinni, Alessandro Depari, et al. "On the Performance of Cloud Services and Databases for Industrial IoT Scalable Applications." Electronics 9, no. 9 (2020): 1435. http://dx.doi.org/10.3390/electronics9091435.

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In the Industry 4.0 the communication infrastructure is derived from the Internet of Things (IoT), and it is called Industrial IoT or IIoT. Smart objects deployed on the field collect a large amount of data which is stored and processed in the Cloud to create innovative services. However, differently from most of the consumer applications, the industrial scenario is generally constrained by time-related requirements and its needs for real-time behavior (i.e., bounded and possibly short delays). Unfortunately, timeliness is generally ignored by traditional service provider, and the Cloud is tre

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Bansal, Veena, and Dhiraj Kumar Sati. "A Personalized and Scalable Machine Learning-Based File Management System." Tehnički glasnik 16, no. 2 (2022): 288–92. http://dx.doi.org/10.31803/tg-20220408162739.

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In this work, we present a hybrid image and document filing system that we have built. When a user wants to store a file in the system, it is processed to generate tags using an appropriate open-source machine learning system. Presently, we use OpenCV and Tesseract OCR for tagging files. OpenCV recognizes objects in the images and TesserAct recognizes text in the image. An image file is processed for object recognition using OpenCV as well for text/captions process using TesserAct, which are used for tagging the file. All other files are processed using Tesseract only for generating tags. The

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A. Karunamurthy, Dr. "Scalable Web Application Deployment Using Auto Scaling, Load Balancer, And RDS." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49702.

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Abstract The rapid growth of web applications and the increasing demand for high availability, scalability, and performance have made traditional deployment methods inadequate. This project, titled "Scalable Web Application Deployment Using Auto Scaling, Load Balancer, and RDS," focuses on creating a robust and efficient infrastructure for deploying web applications on the cloud. The main goal is to ensure that the application can automatically adapt to changing workloads while maintaining optimal performance and availability. The proposed system utilizes Amazon Web Services (AWS) as the cloud

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Blitz, Rogério, Michael Storck, Bernhard T. Baune, Martin Dugas, and Nils Opel. "Design and Implementation of an Informatics Infrastructure for Standardized Data Acquisition, Transfer, Storage, and Export in Psychiatric Clinical Routine: Feasibility Study." JMIR Mental Health 8, no. 6 (2021): e26681. http://dx.doi.org/10.2196/26681.

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Background Empirically driven personalized diagnostic applications and treatment stratification is widely perceived as a major hallmark in psychiatry. However, databased personalized decision making requires standardized data acquisition and data access, which are currently absent in psychiatric clinical routine. Objective Here, we describe the informatics infrastructure implemented at the psychiatric Münster University Hospital, which allows standardized acquisition, transfer, storage, and export of clinical data for future real-time predictive modelling in psychiatric routine. Methods We des

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Xavier Lemos, Dayllon Vinícius, Humberto Jose Longo, Márcia Rodrigues Cappelle Santana, Mariana Dourado Ximenes de Sena Santos, Sanderson Oliveira de Macedo, and Ronaldo Martins da Costa. "YOLO and CNN for Cat Detection and Recognition." Revista de Informática Teórica e Aplicada 32, no. 1 (2025): 158–65. https://doi.org/10.22456/2175-2745.143684.

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This paper proposes a processing architecture for recognizing domestic felines in videos and images based on facial features. Some photos of the cats to be identified in the videos and images need to be collected in advance. A key aspect of this study is avoiding the need to retrain the model whenever the set of cats to be identified changes. The architecture involves five processing stages: video processing, YOLOv8 for cat detection, InceptionV3 for feature extraction, KNN for database searching, and voting process to improve classification. Transfer learning and fine-tuning techniques are em

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Boulmakoul, A., L. Karim, M. Mandar, A. Idri, and A. Daissaoui. "Towards Scalable Distributed Framework for Urban Congestion Traffic Patterns Warehousing." Applied Computational Intelligence and Soft Computing 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/578601.

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We put forward architecture of a framework for integration of data from moving objects related to urban transportation network. Most of this research refers to the GPS outdoor geolocation technology and uses distributed cloud infrastructure with big data NoSQL database. A network of intelligent mobile sensors, distributed on urban network, produces congestion traffic patterns. Congestion predictions are based on extended simulation model. This model provides traffic indicators calculations, which fuse with the GPS data for allowing estimation of traffic states across the whole network. The dis

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Alvarez-Estevez, Diego, and Roselyne M. Rijsman. "Inter-database validation of a deep learning approach for automatic sleep scoring." PLOS ONE 16, no. 8 (2021): e0256111. http://dx.doi.org/10.1371/journal.pone.0256111.

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Study objectives Development of inter-database generalizable sleep staging algorithms represents a challenge due to increased data variability across different datasets. Sharing data between different centers is also a problem due to potential restrictions due to patient privacy protection. In this work, we describe a new deep learning approach for automatic sleep staging, and address its generalization capabilities on a wide range of public sleep staging databases. We also examine the suitability of a novel approach that uses an ensemble of individual local models and evaluate its impact on t

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Kiran, Rage Uday, Pamalla Veena, Penugonda Ravikumar, et al. "Efficient Discovery of Partial Periodic Patterns in Large Temporal Databases." Electronics 11, no. 10 (2022): 1523. http://dx.doi.org/10.3390/electronics11101523.

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Periodic pattern mining is an emerging technique for knowledge discovery. Most previous approaches have aimed to find only those patterns that exhibit full (or perfect) periodic behavior in databases. Consequently, the existing approaches miss interesting patterns that exhibit partial periodic behavior in a database. With this motivation, this paper proposes a novel model for finding partial periodic patterns that may exist in temporal databases. An efficient pattern-growth algorithm, called Partial Periodic Pattern-growth (3P-growth), is also presented, which can effectively find all desired

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