Relevant bibliographies by topics / Scalable Database Architecture

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Scalable Database Architecture'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Scalable Database Architecture"

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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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Dissertations / Theses on the topic "Scalable Database Architecture"

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Wijesekera, Primal. "Scalable Database Management System (DBMS) architecture with Innesto." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43363.

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Database Management systems (DBMS) have been in the core of Information Systems for decades and their importance is getting higher and higher with current high growth in user demand and rising necessity to handle big data. With recent emergence of new style of deployments in the cloud, decades old architectures in DBMS have been greatly challenged due to their inability to scale beyond single computing node and to handle big data. This new requirement has spawned new directions along scaling data storage architectures. Most of the work surfaced lacks the applicability across many domains as th
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Söderlund, Magnus. "An Advertisement Framework Implementation and Scalable Database Architecture Evaluation." Thesis, Umeå universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-53159.

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This thesis report provides a detailed description of an iOS framework implementation for the product developed at Dohi Sweden, used to target advertisement. Targeting properties are stored in a relational database and the customer estimates the amount of requests performed against the database to reach several hundred million requests per month when fully integrated. Possible system architectures are therefore evaluated using denitions of scalability, elasticity and availability made in this report. With the possibility of a cloud based deployment three large cloud service providers are also
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Solat, Siamak. "Novel fault-tolerant, self-configurable, scalable, secure, decentralized, and high-performance distributed database replication architecture using innovative sharding to enable the use of BFT consensus mechanisms in very large-scale networks." Electronic Thesis or Diss., Université Paris Cité, 2023. http://www.theses.fr/2023UNIP7025.

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Cette thèse de doctorat se compose de 6 chapitres. Dans le premier chapitre, en guise d'introduction, nous donnons un aperçu des objectifs généraux et des motivations des réseaux décentralisés et permissionless, ainsi que des obstacles auxquels ils sont confrontés. Dans l'introduction, nous évoquons également la solution irrationnelle et illogique, connue sous le nom de « blockchain permissioned », qui a été proposée pour améliorer les performances des réseaux similaires à Bitcoin. Cette question a été détaillée au chapitre 5. Dans le chapitre 2, nous rendons clairs et intelligibles les systèm
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Books on the topic "Scalable Database Architecture"

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Aberer, Karl. Peer-To-Peer Data Management: For Clouds and Data-Intensive and Scalable Computing Environments. Springer International Publishing AG, 2011.

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Morle, James. Scaling Oracle8i: Building Highly Scalable OLTP System Architectures. Addison-Wesley Professional, 1999.

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Stolte, Etzard. A Scalable Architecture for Large Scientific Databases. 2003.

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Building scalable database applications: Object-oriented design, architectures, and implementations. Addison-Wesley, 1998.

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Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture. Apress, 2015.

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Book chapters on the topic "Scalable Database Architecture"

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Dreimann, Marcel Lütke, Jan Mühlig, Michael Müller, Olaf Spinczyk, and Jens Teubner. "MxKernel: A Bare-Metal Runtime System for Database Operations on Heterogeneous Many-Core Hardware." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_5.

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Abstract Large-scale data processing forms the core of modern online services, such as social media and e-commerce, calling for an ever-increasing performance with predictable service quality. Even though emerging hardware platforms can deliver the required performance, actually harnessing it and guaranteeing a certain service quality is still a challenge for application and system software developers. We argue that the major hindrance for applications and system software alike lies in the design of today’s system software architecture. The thread abstraction, for example, hides hardware chara
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Kuhrt, Marius, Nikolaus Glombiewski, Michael Körber, Andreas Morgen, Dominik Brandenstein, and Bernhard Seeger. "Efficient Event Processing on Modern Hardware." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_3.

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Abstract Complex event processing (CEP) is an essential technology for analyzing streams of events. A key feature of a modern CEP architecture is the ability to process both continuous queries and analytical ad hoc queries on high-volume streams. Both query types support common operations (filter, aggregation, joins) known in event stream and database systems. Additionally, a crucial and unique operation in CEP is pattern matching, which matches user-defined predicates to subsequences of events. We present our solution for a system supporting continuous queries, fast ingestion, and efficient a
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Haas, Gabriel, Adnan Alhomssi, and Viktor Leis. "Managing Very Large Datasets on Directly Attached NVMe Arrays." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_9.

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Abstract High-performance solid-state drives based on flash memory have replaced hard disks as the primary storage medium. Modern servers can host ten or more NVMe SSDs, and the aggregate bandwidth is approaching main memory bandwidth. In response to this evolution, this project evaluates the performance trade-offs posed by the abstraction layers and interfaces involved in I/O management. We experimentally slice through the software stack, exploring the limits of how efficient I/O can be done, and provide a discussion about durability. Finally, we discuss the implications of fast storage devic
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Hahn, Tobias, Maximilian Langohr, Andreas Becher, et al. "ReProVide: Query Optimization and Near-Data Processing on Reconfigurable SoCs for Big Data Analysis." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_7.

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Abstract The available parallelism and heterogeneity of emerging computer systems must be exploited for being able to process the huge amounts of data produced every day. As a consequence, we observe an increasing research interest in accelerating database query processing on multi-cores and attached co-processors like Graphics Processing Units (GPUs) and Field-Programmable Gate Arrays (FPGAs). This chapter presents ReProVide, an approach combining near-data processing and FPGA-based acceleration. The System-on-Chip (SoC) architecture of ReProVide including a flexibly reconfigurable FPGA can l
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Fu, Kun, and Roger Zimmermann. "Randomized Data Allocation in Scalable Streaming Architectures." In Database Systems for Advanced Applications. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11408079_42.

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Krechowicz, Adam, Stanisław Deniziak, Grzegorz Łukawski, and Mariusz Bedla. "Preserving Data Consistency in Scalable Distributed Two Layer Data Structures." In Beyond Databases, Architectures and Structures. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18422-7_11.

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Kozar, Anastasiia, Janis von Bleichert, Sebastian Breß, et al. "Query Processing on Heterogeneous Hardware." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_2.

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Abstract In modern processor design, power efficiency has become the primary constraint, prompting manufacturers to develop processors that balance energy consumption with the growing demand for speed. This shift has initiated an era of heterogeneous multi-core computing, characterized by machines utilizing various processors such as GPUs, MICs, and FPGAs. These processors significantly enhance performance due to their computational capabilities and memory bandwidth, essential for optimizing query processing performance. However, executing database queries efficiently across diverse processors
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Bir, Jashvir, Priynka Sharma, and Surya Prakash. "Experimental Evaluation of Scalable Database Architectures for High-Performance Applications." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7571-2_3.

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Guster, Dennis C., Christopher G. Brown, and Erich P. Rice. "Scalable Data Warehouse Architecture." In Advances in Data Mining and Database Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3142-5.ch013.

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This chapter looks at the feasibility of creating a scalable data warehouse architecture in a higher education institution. The authors lay out the background of the historical data environment of the institution and look at ways in which the application of new technologies could better meet and exceed the needs of the institution moving forward. The chapter also covers the increased role security plays in the management and governance of data and the ways in which developing more secure aware employees through the use of People Centric Security (PCS) can reduce risk and drive positive change.
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Bouguettaya, Athman, Zaki Malik, Xumin Liu, Abdelmounaam Rezgui, and Lori Korff. "WebFINDIT." In Advances in Database Research. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-172-8.ch013.

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The ubiquity of the World Wide Web facilitates the deployment of highly distributed applications. The emergence of Web databases and applications has introduced new challenges related to their organization, access, integration, and interoperability. We present a dynamic architecture and system for describing, locating, and accessing data from Web databases and applications. We describe a scalable middleware for efficient data and application access that we have built using the available technologies. The resulting system is called WebFINDIT. It is a scalable and uniform infrastructure for acce
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Conference papers on the topic "Scalable Database Architecture"

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Oliveira, Rui Carlos. "An Open Architecture for Scalable Database Clustering." In 2008 12th Enterprise Distributed Object Computing Conference Workshops (EDOCW). IEEE, 2008. http://dx.doi.org/10.1109/edocw.2008.16.

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Zhou, Wei, Jinxian Tan, Yeyu Xie, and Qian Xu. "A Scalable Multi-Service Collaboration Mobile Computing Middleware System Architecture." In 2010 2nd International Workshop on Database Technology and Applications (DBTA 2010). IEEE, 2010. http://dx.doi.org/10.1109/dbta.2010.5659110.

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Gessert, Felix, Florian Bucklers, and Norbert Ritter. "Orestes: A scalable Database-as-a-Service architecture for low latency." In 2014 IEEE 30th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2014. http://dx.doi.org/10.1109/icdew.2014.6818329.

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Kim, Kangseok, Marlon E. Pierce, and Rajarshi Guha. "SQMD: Architecture for Scalable, Distributed Database System Built on Virtual Private Servers." In 2008 IEEE Fourth International Conference on eScience (eScience). IEEE, 2008. http://dx.doi.org/10.1109/escience.2008.35.

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Vandevenne, Dennis, Paul-Armand Verhaegen, Simon Dewulf, and Joost R. Duflou. "Automatically Populating the Biomimicry Taxonomy for Scalable Systematic Biologically-Inspired Design." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70928.

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Although Biologically-Inspired Design (BID) is gaining popularity, state-of-the-art approaches for systematic BID are still limited by the required interactive work which is proportional to the applied biological database size. This interactive work, depending on the adopted methodology, might encompass model instantiation for each strategy in the biological database, classification into a predefined scheme or extensive result filtering. This contribution presents a first scalable approach to systematic BID with the potential to leverage large numbers of biological strategies. First, a focused
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Cortese, Carlo, Marco A. Calamari, and Paolo Spagli. "Modern Software Infrastructure for Industrial Selection Tools." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36585.

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This paper aims to discuss 30 years of evolution of technical design tools (software and architecture) in GE Oil&Gas. Most important changes are highlighted, as well as some promising evolutionary paths. Legacy codes are the heritage of industrial companies from 70s and 80s. FORTRAN was used in order to automate the calculation the engineers had to perform to design turbines or compressors. The results of legacy codes were files that contain several information’s, relevant to stage geometry and performances, which could be used to generate drawings or to evaluate machines operability. Howe
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Agrawal, Apurva, and Yusuf Mamajiwala. "Comparative Analysis of RocksDB, LMDB, and MongoDB: A Performance Evaluation." In Symposium on International Automotive Technology. SAE International, 2024. http://dx.doi.org/10.4271/2024-26-0331.

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<div class="section abstract"><div class="htmlview paragraph">This abstract provides a comprehensive comparison between RocksDB, LMDB, and MongoDB, three popular database systems, highlighting their differences in terms of architecture, performance, scalability, and use cases.</div><div class="htmlview paragraph">RocksDB, an embedded key-value store developed by Facebook, and LMDB (Lightning Memory-Mapped Database), a memory-mapped key-value store, are both optimized for high-performance and low-latency workloads. These databases excel in scenarios where efficiency and
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Shukla, Adesh, Nazeer Ahmad Siddiqui, Mohd Atif Ansari, Abdullah Zakir Ali, and Devendra Kumar. "OPTIMIZING EFFICIENCY AND SUSTAINABILITY IN REAL ESTATE: A COMPREHENSIVE ANALYSIS OF ADVANCED REAL ESTATE PROPERTY MANAGEMENT SYSTEMS." In Computing for Sustainable Innovation: Shaping Tomorrow’s World. Innovative Research Publication, 2024. http://dx.doi.org/10.55524/csistw.2024.12.1.41.

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In response to the escalating reliance on Internet platforms for property search, there is an urgent demand for highly efficient real estate management systems. This paper proposes the development of a sophisticated Real Estate Management System (REMS) utilizing Python Flask, a versatile and scalable web application framework. The REMS will serve as a comprehensive solution, integrating a robust database architecture to facilitate the storage and management of property, tenant, and invoice data. Notable features of the system include seamless property search functionalities, streamlined online
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Yang, Zongfeng. "Empowering Digital Social Governance Research Based on Big Data and Human Computer Interaction." In 6th International Conference on Structural Health Monitoring and Integrity Management, 8 - 10 November 2024, Zhengzhou. NDT.net, 2025. https://doi.org/10.58286/31002.

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In response to the increasing scale of data and the complexity of data sources, considering different aspects such as data storage, functional expansion, performance improvement, and artificial intelligence applications, combined with the big data Hadoop ecosystem and Spring Cloud system, a digital platform is constructed. For structured and unstructured data, different businesses correspond to different computing methods, adopting a hybrid deployment for on-demand storage, building a scalable storage system, and improving storage and query efficiency. The demand for system functional modules
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Kara, Mustafa Can, Malina Majeran, Bret Peterson, Tom Wimberly, and Greg Sinclair. "A Machine Learning Workflow to Predict Anomalous Sanding Events in Deepwater Wells." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31234-ms.

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Abstract Deepwater wells possess a high risk of sand escaping the reservoir into the production systems. Sand production is a common operational issue which results in potential equipment damage and hence product contamination. Excessive sand erosion causes blockage in tubulars and cavities in downhole equipment (subsea valves, chokes, bends etc.), resulting in maintenance costs for subsea equipment that adds up to millions of dollars yearly to operators. In this work, a scalable Machine Learning (ML) model readily accessing historical and real-time feed of sensor and simulation data is built
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Reports on the topic "Scalable Database Architecture"

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Gorton, Ian, John Klein, and Albert Nurgaliev. Architecture Knowledge for Evaluating Scalable Databases. Defense Technical Information Center, 2015. http://dx.doi.org/10.21236/ada614251.

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