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Journal articles on the topic 'Database Management System (DBMS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Butrovich, Matthew, Samuel Arch, Wan Shen Lim, William Zhang, Jignesh M. Patel, and Andrew Pavlo. "BPF-DB: A Kernel-Embedded Transactional Database Management System For eBPF Applications." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–27. https://doi.org/10.1145/3725272.

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Developers rely on the eBPF framework to augment operating system (OS) behavior for the betterment of database management system (DBMS) without having to modify kernel code. But eBPF's verifier limits program complexity and data management functionality. As a result eBPF's storage options are limited to kernel-resident, non-durable data structures that lack transactional guarantees. Inspired by embedded DBMSs for user-space applications, this paper present BPF-DB, an OS-embedded DBMS that offers transactional data management for eBPF applications. We explore the storage management and concurre

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Pavlo, Andrew, Matthew Butrovich, Lin Ma, et al. "Make your database system dream of electric sheep." Proceedings of the VLDB Endowment 14, no. 12 (2021): 3211–21. http://dx.doi.org/10.14778/3476311.3476411.

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Database management systems (DBMSs) are notoriously difficult to deploy and administer. Self-driving DBMSs seek to remove these impediments by managing themselves automatically. Despite decades of DBMS auto-tuning research, a truly autonomous, self-driving DBMS is yet to come. But recent advancements in artificial intelligence and machine learning (ML) have moved this goal closer. Given this, we present a system implementation treatise towards achieving a self-driving DBMS. We first provide an overview of the NoisePage self-driving DBMS that uses ML to predict the DBMS's behavior and optimize

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M.Riyan, Dirgantara Salsabila Syahputri Adelia Hasibuan Nurbaiti. "Pengenalan Database Management System (DBMS)." Madani: Jurnal Ilmiah Multidisiplin 1, no. 6 (2023): 300–306. https://doi.org/10.5281/zenodo.8123019.

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<em>The purpose of this article is to provide a comprehensive understanding of database management and its role in modern business. The article also aims to introduce readers to various technologies and methods used in database management, as well as the stages involved in implementing database management. The author's method is literature review, a research method that involves collecting and analyzing data from literature sources such as books, journals, articles, and other documents to answer research questions. A database is a collection of related data stored together with controlled

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Carvalho, Nuno, Alfranio Jr., José Pereira, Luís Rodrigues, Rui Oliveira, and Susana Guedes. "On the Use of a Reflective Architecture to Augment Database Management Systems." JUCS - Journal of Universal Computer Science 13, no. (8) (2007): 1110–35. https://doi.org/10.3217/jucs-013-08-1110.

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The Database Management System (DBMS) used to be a commodity software component, with well known standard interfaces and semantics. However, the performance and reliability expectations being placed on DBMSs have increased the demand for a variety add-ons, that augment the functionality of the database in a wide range of deployment scenarios, offering support for features such as clustering, replication, and self-management, among others. A well known software engineering approach to systems with such requirements is reflection. Unfortunately, standard reflective interfaces in DBMSs are very l

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Chen, Sibei, Ju Fan, Bin Wu, et al. "Automatic Database Configuration Debugging using Retrieval-Augmented Language Models." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–27. https://doi.org/10.1145/3709663.

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Database management system (DBMS) configuration debugging, e.g., diagnosing poorly configured DBMS knobs and generating troubleshooting recommendations, is crucial in optimizing DBMS performance. However, the configuration debugging process is tedious and, sometimes challenging, even for seasoned database administrators (DBAs) with sufficient experience in DBMS configurations and good understandings of the DBMS internals (e.g., MySQL or Oracle). To address this difficulty, we propose Andromeda, a framework that utilizes large language models (LLMs) to enable automatic DBMS configuration debugg

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Aljwari, Fatima Khalil. "External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems." European Journal of Computer Science and Information Technology 10, no. 5 (2022): 24–31. http://dx.doi.org/10.37745/ejcsit.2013/vol10n52431.

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There are many possible ways to configure database management systems (DBMSs) have challenging to manage and set.The problem increased in large-scale deployments with thousands or millions of individual DBMS that each have their setting requirements. Recent research has explored using machine learning-based (ML) agents to overcome this problem's automated tuning of DBMSs. These agents extract performance metrics and behavioral information from the DBMS and then train models with this data to select tuning actions that they predict will have the most benefit. This paper discusses two engineerin

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Matanat Hasanguliyeva, Asif Guluyev, Matanat Hasanguliyeva, Asif Guluyev. "DATABASE MANAGEMENT SYSTEMS SECURITY: RECENT THREATS AND PREVENTION METHODS." ETM - Equipment, Technologies, Materials 25, no. 01 (2024): 41–48. https://doi.org/10.36962/etm25012025-41.

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The core functionality of a Database Management System (DBMS) is to store and secure critical personal and corporate data. Number of web based applications using databases accessed through internet are increasing day by day. Preventing this environment and applications most of the time is not enough and possible, the counter measures, security threats and breaches are increasingly faced in general. In addition to the technical prevention methods, human factors and user awareness from beginners to experts must be taken into account. Extra effort should be spent to raise user awareness to a desi

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Van Aken, Dana, Dongsheng Yang, Sebastien Brillard, et al. "An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems." Proceedings of the VLDB Endowment 14, no. 7 (2021): 1241–53. http://dx.doi.org/10.14778/3450980.3450992.

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Modern database management systems (DBMS) expose dozens of configurable knobs that control their runtime behavior. Setting these knobs correctly for an application's workload can improve the performance and efficiency of the DBMS. But because of their complexity, tuning a DBMS often requires considerable effort from experienced database administrators (DBAs). Recent work on automated tuning methods using machine learning (ML) have shown to achieve better performance compared with expert DBAs. These ML-based methods, however, were evaluated on synthetic workloads with limited tuning opportuniti

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Никольский, Д. Р., В. Ф. Барабанов, Н. И. Гребенникова, С. А. Коваленко, and А. М. Нужный. "ANALYSIS OF GRAPH DATABASE MANAGEMENT SYSTEMS." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА 19, no. 6(-) (2023): 13–20. http://dx.doi.org/10.36622/vstu.2023.19.6.002.

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в современном информационном обществе обработка данных стала важным инструментом для принятия обоснованных решений и достижения успеха во многих областях деятельности. Для хранения данных используют разные виды систем управления базами данных (СУБД), каждая из которых обладает своими уникальными функциями, преимуществами и вариантами использования. Графовые СУБД предлагают большое количество инструментов и методов анализа и обработки данных. Был произведен обзор графовой СУБД Neo4j, мультимодальных СУБД Virtuoso и ArangoDB, с поддержкой графовой модели данных и графовой СУБД Memgraph. Каждая и

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Desai, Janvi. "Self-Optimizing Database Architecture." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1675–78. http://dx.doi.org/10.22214/ijraset.2021.39071.

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Abstract: Over the most recent decades, analysts and database service providers have fabricated devices to help DBAs (Database Administrators) in various parts of framework tuning and the actual design of the database. Most of this past work, regardless, is fragmented on the grounds that it expects people to come up with an official agreement or judgement about any modifications to the data in the database and fix issues after they happen rather than preventing such cases from taking place or adjusting to these changes automatically. What is required for a really "self-driving" database manage

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Camilleri, Carl, Joseph G. Vella, and Vitezslav Nezval. "HTAP With Reactive Streaming ETL." Journal of Cases on Information Technology 23, no. 4 (2021): 1–19. http://dx.doi.org/10.4018/jcit.20211001.oa10.

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In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or online analytical processing (OLAP). These often run within separate DBMSs. In hybrid transactional and analytical processing (HTAP), both workloads may execute within the same DBMS. This article shows that it is possible to run separate OLTP and OLAP DBMSs, and still support timely business decisions from analytical queries running off fresh transactional data. Several setups to manage OLTP and OLAP workloads are analysed. Then, benchmarks on two industry standard DBMSs empir

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Pali, Prof Pankaj, Prof Abhishek Vishwakarma, Prof Jaya Choubey, Rishita Jaiswal, and Pranjil Soni. "Evolution of Database Management System in Hybrid and Multi Cloud Platform: Challenges, Solutions and Innovations." International Journal of Innovative Research in Science,Engineering and Technology 12, no. 06 (2023): 9015–18. http://dx.doi.org/10.15680/ijirset.2023.1206156.

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The rapid advancement in cloud computing has catalyzed the evolution of database management systems (DBMS), particularly in the context of hybrid and multi-cloud platforms. This review paper examines the transformative journey of DBMS, focusing on the challenges, solutions, and innovations that have emerged in hybrid and multi-cloud environments. Key challenges include data consistency, security, latency, and cost management, which are compounded by the heterogeneity and distributed nature of these platforms. The paper discusses state-of-the-art solutions, such as advanced data replication tec

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Doina R. Zmaranda, Robert Ş. Győrödi, Gianina A. Gabor, and George D. Pecherle. "Performance Analysis of NoSQL and Relational Databases with CouchDB and MySQL for Application’s Data Storage." Applied Sciences 10, no. 23 (2020): 8524. http://dx.doi.org/10.3390/app10238524.

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In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge. In this paper, we aimed to provide a comparative evaluation of two popular open-source database management systems (DBMSs): MySQL as a relational DBMS and, more recently, as a non-relational DBMS, and CouchDB as a non-relational DBMS. This comparison was based on performance evaluation of CRUD (CREATE, READ, UPDATE, DELETE) operations for different amounts

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Liu, Fan Ming, Xing Wei, and Fang Ming Li. "Structure Design of the Database in the INS/Database Matching Navigation System." Advanced Materials Research 760-762 (September 2013): 1930–35. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1930.

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Using the geophysical field data matching navigation could improve the concealment of the underwater vehicle, and it is also an important navigation technology in the future. Using the database to save the navigation data not only could overcome the drawbacks when using the files to storage the data but also integrated the different database together. The QNX Database is used to be the database management system (DBMS) of the INS/Database matching navigation system. According to the needs of the INS/Database matching navigation system and the relationship of the geophysical field data, the str

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Song, Jiansen, Wensheng Dou, Yu Gao, et al. "Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction." Proceedings of the VLDB Endowment 17, no. 8 (2024): 1884–97. http://dx.doi.org/10.14778/3659437.3659445.

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Database Management Systems (DBMSs) are widely used to efficiently store and retrieve data. DBMSs usually support various metadata, e.g., integrity constraints for ensuring data integrity and indexes for locating data. DBMSs can further utilize these metadata to optimize query evaluation. However, incorrect metadata-related optimizations can introduce metadata-related logic bugs, which can cause a DBMS to return an incorrect query result for a given query. In this paper, we propose a general and effective testing approach, Raw database construction (Radar), to detect metadata-related logic bug

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Owais, Noor Trumboo, and Nisar Jasra. "Traditional Databases vs NOSQL." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 68–70. https://doi.org/10.31142/ijtsrd12961.

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Database is a collection of logically related data and is composed of collection of files that are linked in a way that information from one of files may be combined with information from other files so that user can get exact information. Database management system DBMS is package that is used for creating and managing databases. A Database Management System provides a systematic way for users and programmers to create, retrieve, update and manage data. Because of DBMS it is possible for end users to create, read, update and delete the data in database. With the introduction of new technologi

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Markevich, D. V., V. V. Kharlanova, and A. D. Khomonenko. "INTEGRATION OF BUSINESS INTELLIGENCE SYSTEMS WITH DATABASE MANAGEMENT SYSTEMS IN TRANSPORT." H&ES Research 15, no. 2 (2023): 41–48. http://dx.doi.org/10.36724/2409-5419-2023-15-2-41-48.

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At present, the solution of various transport problems using information technologies is of great practical interest. To work with databases containing huge amounts of information, their structuring, thorough analysis and making optimal decisions, researchers and analysts actively use various systems, such as database management systems (DBMS) or business intelligence systems. Despite this, the integration of such systems, which can improve the quality of decisions, is still not widely used. Purpose: is to develop the integration technology between the business intelligence system and the DBMS

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Ansari, Sakil Ahmad, and Jaychand Vishwakarma. "Survey on Database Concurrency Control in Multilevel Secure Database Management Systems." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 4 (2018): 105. http://dx.doi.org/10.23956/ijarcsse.v8i4.645.

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Transactions are vital for database management systems (DBMSs) because they provide transparency to concurrency and failure. Concurrent execution of transactions may lead to contention for access to data, which in a multilevel secure DBMS (MLSIDBMS) may lead to insecurity. In this paper we examine security issues involved in database concurrency control for MLS/DBMSs and show how a scheduler can affect security. We introduce Data Conflict Security; (DC-Security) a property that implies a system is free of convert channels due to contention for access to data. We present a definition of DC Secu

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Voronchikhin, M. V., and N. A. Galanina. "Using the Migration-KS Software Package to Solve the Problem of Database Import Substitution." Informacionnye Tehnologii 30, no. 9 (2024): 462–67. http://dx.doi.org/10.17587/it.30.462-467.

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Ways to solve the problem of import substitution and transfer of software to an open-source database management system (DBMS) in state and municipal institutions are considered (in particular, migration from a foreign SQL Server DBMS to domestic DBMSs based on PostgreSQL, such as PostgreSQL and DBMS-KS). The results of a detailed study of the main stages of database migration are presented, and the advantages and disadvantages of various migration methods are identified. A review of software solutions that enable the transition from MS SQL to PostgreSQL was carried out, such us AWS Database Mi

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Mohd Yunus, Mohd Amin, Sonniaa K. V. Gopala Krishnan, Nazri Mohd Nawi, and Ely Salwana Mat Surin. "Study on Database Management System Security Issues." JOIV : International Journal on Informatics Visualization 1, no. 4-2 (2017): 192. http://dx.doi.org/10.30630/joiv.1.4-2.76.

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The study is about the security system of database management (DBMS) and proposed method. Information is an essential element in database management system where the users trust service providers will have a secure system to protect and prevent their information from malicious attack or stealing information. There are few types of technique applied to enhance the database security level.

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Vishwakarma, Jaychand, and Abhishek Shukla. "Survey on Security Issues and Their Techniques in DBMS." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 1 (2018): 124. http://dx.doi.org/10.23956/ijarcsse.v8i1.544.

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Nowadays a Database security has become an important issue in technical world. The main objective of database security is to forbid unnecessary information exposure and modification data while ensuring the availability of the needed services. A numbers of security methods have been created for protecting the databases. Many security models have been developed based on different security aspects of database. All of these security methods are useful only when the database management system is designed and developing for protecting the database. Recently the growth of web application with databas

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Khudaiberdiev, Sakhobiddin Abdurayimovich. "ANALYSING THE MOST CURRENT SERVER-BASED DATABASE MANAGEMENT SYSTEMS." Nazariy va amaliy tadqiqotlar xalqaro jurnali - SJ International journal of theoretical and practical research 5, no. 3 (2023): 36–47. https://doi.org/10.5281/zenodo.8159175.

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<em>This paper discusses the signs by which it is possible to analyze the advantages and disadvantages of database management systems (DBMS). The main criteria considered in the study are performance, scalability, data availability, server functionality, DBMS openness, as well as the availability of development and administration tools for the most up-to-date DBMS, such as DB2, Oracle, Microsoft SQL Server and Informix. During the performance analysis, the indicators of query execution speed, transaction processing and scalability of the system with an increase in data volume are considered. D

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Shahidinejad, Javad, Mohsen Kalantari, and Abbas Rajabifard. "3D Cadastral Database Systems—A Systematic Literature Review." ISPRS International Journal of Geo-Information 13, no. 1 (2024): 30. http://dx.doi.org/10.3390/ijgi13010030.

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Cadastral databases have been used for over 20 years, but most contain 2D data. The increasing presence of high-rise buildings with modern architecture complicates the process of determining property rights, restrictions, and responsibilities. It is, therefore, necessary to develop an efficient system for storing and managing multidimensional cadastral data. While there have been attempts to develop 3D cadastral database schemas, a comprehensive solution that meets all the requirements for effective data storage, manipulation, and retrieval has not yet been presented. This study aims to analys

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Annisa Rahmawita, Tania Azura Fahani, Rohima Rohima, Alwi Alviansha, and Nurbaiti Nurbaiti. "Implementasi Sistem Basis Data pada Sektor Pendidikan di Indonesia." INSOLOGI: Jurnal Sains dan Teknologi 2, no. 4 (2023): 684–89. http://dx.doi.org/10.55123/insologi.v2i4.2287.

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DBMS (Database Management System) is a software system that enables database users to maintain, control and access data in a practical and efficient manner. This DBMS is the layer that connects the database with application programs to ensure that the database remains consistently organized and can be accessed easily. The main purpose of using a DBMS in the education sector is to avoid confusion in terms of processing large amounts of data and to help students process data. DBMS also reduces and eliminates data redundancy and maximizes data consistency so that every time it displays data, the

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Zhang, Chi, and Manuel Rigger. "Constant Optimization Driven Database System Testing." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–24. https://doi.org/10.1145/3709674.

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Logic bugs are bugs that can cause database management systems (DBMSs) to silently produce incorrect results for given queries. Such bugs are severe, because they can easily be overlooked by both developers and users, and can cause applications that rely on the DBMSs to malfunction. In this work, we propose Constant-Optimization-Driven Database Testing (CODDTest) as a novel approach for detecting logic bugs in DBMSs. This method draws inspiration from two well-known optimizations in compilers: constant folding and constant propagation. Our key insight is that for a certain database state and q

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Taipalus, Toni, Hilkka Grahn, Hannu Turtiainen, and Andrei Costin. "Utilizing Vector Database Management Systems in Cyber Security." European Conference on Cyber Warfare and Security 23, no. 1 (2024): 560–65. http://dx.doi.org/10.34190/eccws.23.1.2220.

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The rising popularity of phenomena such as ubiquitous computing and IoT poses increasingly high demands for data management, and it is not uncommon that database management systems (DBMS) must be capable of reading and writing hundreds of operations per second. Vector DBMSs (VDBMS) are novel products that focus on the management of vector data and can alleviate data management pressures by storing data objects such as logs, system calls, emails, network flow data, and memory dumps in feature vectors that are computationally efficient in both storage and information retrieval. VDMBSs allow effi

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Wahyudi, Jodi, Masduki Asbari, Ipang Sasono, Tias Pramono, and Dewiana Novitasari. "Database Management Education in MYSQL." Edumaspul: Jurnal Pendidikan 6, no. 2 (2022): 2413–17. http://dx.doi.org/10.33487/edumaspul.v6i2.4570.

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The purpose of this research is to find out what is database management in MySQL or read My Sequel is a Database Management System often abbreviated as DBMS, MySQL is an open-source database management system. MySQL can be used to create and manage databases and their contents, from the smallest to the very large and to convey information to its users. MySQL is also included in the RDBMS or Relational Database Management system, where in its database structure so that when the data retrieval process uses the relational database method and becomes a liaison between the software and the database

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TRIGANO, PHILIPPE, JEAN-PAUL BARTHES, CATHERINE GREBOVAL, and FRANÇOIS VALLERNAUD. "QUERYING AN OBJECT-ORIENTED DATABASE USING FREE LANGUAGE." International Journal of Pattern Recognition and Artificial Intelligence 04, no. 03 (1990): 429–45. http://dx.doi.org/10.1142/s0218001490000265.

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A man-machine interface in natural language for a DataBase Management System (DBMS) called VORAS, based upon semantics, is presented. This DBMS can also be used for knowledge representation, and is well-suited to the design of queries in natural language. The system VORAS is an object-oriented DBMS developed from a specific model of representation called the Property Driven Model (PDM). A user may write a query in natural language. Most of the analysis is done at a semantic level. A syntactic level has been added, to improve the performance of the system. However, it is still possible to use a

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Santosh Jaini. "Machine Learning Algorithms for Predictive Database Capacity Planning and Resource Management." Darpan International Research Analysis 12, no. 2 (2024): 199–209. http://dx.doi.org/10.36676/dira.v12.i2.149.

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In this work, the author examines the utilization of ready algorithmic tools of machine learning in the context of database medium and its capacity forecasting issues. They point to the growing need for ARCH-HERO scalable database systems that can easily adapt to changes in workload to maximize the usage of available resources. Studied simulation models only working with AI have illustrated the effectiveness of machine learning techniques for improving the functioning of a DBMS. Real-time case studies here expound on how ML models forecast database capacity needs, keep operational costs low, a

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Researcher. "THE EVOLUTION OF DATABASE MANAGEMENT SYSTEMS (DBMS) IN THE CLOUD ERA." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 46–55. https://doi.org/10.5281/zenodo.14045193.

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This article explores the transformative impact of cloud computing on Database Management Systems (DBMS), tracing the evolution from traditional on-premise solutions to modern cloud-based platforms. It examines the key drivers of this shift, including scalability, cost-effectiveness, and advanced features offered by cloud DBMS. The article delves into fundamental concepts such as elasticity, multi-tenancy, and serverless databases while also addressing challenges like data migration, vendor lock-in, and compliance issues. This study provides insights into the current state and future trajector

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Lai, Yuanhao, Pengfei Zheng, Chenpeng Ji, et al. "Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions." Proceedings of the ACM on Management of Data 3, no. 1 (2025): 1–26. https://doi.org/10.1145/3709671.

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Gaussian Process (GP)-based Bayesian optimization (BO), i.e., GP-BO, emerges as a prevailing model-based framework for DBMS (Database Management System) auto-tuning. However, recent work shows GP-BO-based DBMS auto-tuners are significantly outperformed by auto-tuners based on SMAC, which features random forest surrogate models; such results motivate us to rethink and investigate the limitations of GP-BO in auto-tuner design. We find that the fundamental assumptions of GP-BO are widely violated when modeling and optimizing DBMS performance, while tree-ensemble-BOs (e.g., SMAC) can avoid the ass

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Arawole M.O, Arawole M. O., and Adetunji A. B. Adetunji A.B. "Doxa: A Web Based User-Friendly Document Oriented Database Management System with Integrated File Handling." Journal of Software Engineering and Simulation 11, no. 6 (2025): 103–12. https://doi.org/10.35629/3795-1106103112.

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Managing databases can be challenging for non-technical users due to complex interfaces and cumbersome file-handling processes. Existing database management systems (DBMS) such as the ObjectOriented SGML/HYTime Compliant Multimedia DBMS and CRIUS have attempted to address these challenges by providing structured data management and user-friendly interfaces for non technical users. However, some require knowledge of object-oriented programming or lack integrated file-handling capabilities. This paper introduces Doxa, a user-friendly, web-based document-oriented database management system with i

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Le-Thi, Thuy-Lan. "Virtualizing Database Management Systems Education: An Integrated Hands-on Learning Model with Oracle Academy." International Journal of Advances in Engineering and Management 7, no. 3 (2025): 791–800. https://doi.org/10.35629/5252-0703791800.

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:Effective online learning in Database Management Systems (DBMS) courses requires a balance of theoretical instruction and practical application. While theoretical knowledge forms the foundation, hands-on experience in designing, implementing, and managing databases is essential for developing technical proficiency. Traditional DBMS education often relies on physical infrastructure, which can limit accessibility and engagement. To address these challenges, an online learning platform must provide comprehensive resources and remote access to both real and virtual database environments. This pap

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Fruth, Michael, and Stefanie Scherzinger. "The Case for DBMS Live Patching." Proceedings of the VLDB Endowment 17, no. 13 (2024): 4557–70. https://doi.org/10.14778/3704965.3704966.

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Traditionally, when the code of a database management system (DBMS) needs to be updated, the system is restarted, and database clients suffer downtime, or the provider instantiates hot-standby instances and rolls over the workload. We investigate a third option, live patching of the DBMS binary. For certain code changes, live patching allows to modify the application code in memory, without restart. The memory state and all client connections can be maintained. Although live patching has been explored in the operating systems research community, it remains a blind spot in DBMS research. In thi

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Mandapuram, Mounika, and Md Faruk Hosen. "The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison." Global Disclosure of Economics and Business 7, no. 2 (2018): 89–96. http://dx.doi.org/10.18034/gdeb.v7i2.657.

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Both object-oriented and relational database management systems are referred to as DBMS. The web-scale is expanding at an incredible rate, and with it comes an increase in mobile applications, technologies, and social media platforms. The rapid growth of these technologies produces a variety of structured and unstructured data in various forms, each of which has various consequences for data security. Using RDBMS and OODBMS, this study's methodology outlines the development, installation, and management process of multiple and complicated data sets. This study gives a documented study comparin

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Deepak, Prajapat, and Kulkarni Akanksha. "Database Management System: Data Model." Journal of Advances in Computational Intelligence Theory 5, no. 2 (2023): 1–9. https://doi.org/10.5281/zenodo.7907613.

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<em>In this paper, we are talking about the modern application require database to catch and execute more in closure semantics than traditional application. In order to collect and analyse data, a database management system communicates with applications, end users, and the database itself. A database is a structured collection of data that is electronically accessible and stored. Large databases are housed on clusters of computers or cloud storage, whilst smaller ones can be maintained on a file system.           Data modelling, effective data

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Oparina, T. M. "Logging of user actions in thee database." Mathematical structures and modeling, no. 2 (2024): 100–104. http://dx.doi.org/10.24147/2222-8772.2024.2.100-104.

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Databases require a reliable and comprehensive process for logging user actions. Server message logs are used for this purpose. However, DBMS and database administrators face many problems when logging messages. To solve these problems, this article discusses the capabilities of the PostgreSQL database management system, which has recently become more popular.

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Anjard, Ronald P. "The Basics of Database Management Systems (DBMS)." Industrial Management & Data Systems 94, no. 5 (1994): 11–15. http://dx.doi.org/10.1108/02635579410063261.

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Butrovich, Matthew, Karthik Ramanathan, John Rollinson, et al. "Tigger: A Database Proxy That Bounces with User-Bypass." Proceedings of the VLDB Endowment 16, no. 11 (2023): 3335–48. http://dx.doi.org/10.14778/3611479.3611530.

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Developers often deploy database-specific network proxies whereby applications connect transparently to the proxy instead of directly connecting to the database management system (DBMS). This indirection improves system performance through connection pooling, load balancing, and other DBMS-specific optimizations. Instead of simply forwarding packets, these proxies implement DBMS protocol logic (i.e., at the application layer) to achieve this behavior. Consequently, existing proxies are user-space applications that process requests as they arrive on network sockets and forward them to the appro

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Widodo. "Manajemen System (DBMS) Basic Concepts." Idaarotul Ulum (Jurnal Prodi MPI) 6, no. 01 (2024): 32–50. http://dx.doi.org/10.70688/idaarotululum.v6i01.386.

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Database Management System (DBMS) adalah sebuah perangkat lunak yang mendesain, mengelola, dan memanipulasi basis data. Konsep dasar DBMS meliputi pengorganisasian data, pemeliharaan integritas, dan penyediaan akses yang efisien ke informasi. DBMS mengizinkan pengguna untuk menyimpan, mengambil, dan memanipulasi data dengan cara yang terstruktur dan terpusat. Arsitektur DBMS mencakup komponen-komponen utama seperti model data, mesin penyimpanan, bahasa query, dan pengelola transaksi. Model data seperti model relasional, hierarkis, atau jaringan digunakan untuk mendefinisikan struktur data dala

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Huda, M. Misbachul, Dian Rahma Latifa Hayun, and Zhin Martun. "Data Modeling for Big Data." Jurnal ULTIMA InfoSys 6, no. 1 (2015): 1–11. http://dx.doi.org/10.31937/si.v6i1.273.

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Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system

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Salihoglu, Semih. "Kùzu: A Database Management System For "Beyond Relational" Workloads." ACM SIGMOD Record 52, no. 3 (2023): 39–40. http://dx.doi.org/10.1145/3631504.3631514.

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I would like to share my opinions on the following question: how should a modern graph DBMS (GDBMS) be architected? This is the motivating research question we are addressing in the K`uzu project at University of Waterloo [4, 5].1 I will argue that a modern GDBMS should optimize for a set of what I will call, for lack of a better term, "beyond relational" workloads. As a background, let me start with a brief overview of GDBMSs.

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Anwar, Muhammad Rehan, Ria Panjaitan, and Ruli Supriati. "Implementation Of Database Auditing By Synchronization DBMS." International Journal of Cyber and IT Service Management 1, no. 2 (2021): 197–205. http://dx.doi.org/10.34306/ijcitsm.v1i2.53.

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Database auditing is a crucial part of database security and governance requirements. Database administrators must be better aware of the procedures used to preserve business data, as well as the standards and regulations that may be applied to the data. Database auditing is a capability for searching the use of database authority and resources at a high level. Every database action that is audited creates an audit trail of the information changes performed when auditing is enabled. Database synchronisation is a type of replication in which every copy of a database is convinced to have the sam

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Lao, Jiale, Yibo Wang, Yufei Li, et al. "GPTuner: An LLM-Based Database Tuning System." ACM SIGMOD Record 54, no. 1 (2025): 101–10. https://doi.org/10.1145/3733620.3733641.

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Selecting appropriate values for the configurable knobs of Database Management Systems (DBMS) is essential to improve performance. But because the complexity of this task has surpassed the abilities of even the best human experts, the database community turns to machine learning (ML)- based automatic tuning systems. However, these systems still incur significant tuning costs or only yield suboptimal performance, attributable to their overly high reliance on black-box optimization and the lack of integration with domain knowledge, such as DBMS manuals and forum discussions. Hence, we propose GP

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Manikandan, Deepa, and Jayaseelan Dhilipan. "Machine learning approach for intrusion detection system using dimensionality reduction." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 430. http://dx.doi.org/10.11591/ijeecs.v34.i1.pp430-440.

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As cyberspace has emerged, security in all the domains like networks, cloud, and databases has become a greater concern in real-time distributed systems. Existing systems for detecting intrusions (IDS) are having challenges coping with constantly changing threats. The proposed model, DR-DBMS (dimensionality reduction in database management systems), creates a unique strategy that combines supervised machine learning algorithms, dimensionality reduction approaches and advanced rule-based classifiers to improve intrusion detection accuracy in terms of different types of attacks. According to sim

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Manikandan, Deepa, and Jayaseelan Dhilipan. "Machine learning approach for intrusion detection system using dimensionality reduction." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 430–40. https://doi.org/10.11591/ijeecs.v34.i1.pp430-440.

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As cyberspace has emerged, security in all the domains like networks, cloud, and databases has become a greater concern in real-time distributed systems. Existing systems for detecting intrusions (IDS) are having challenges coping with constantly changing threats. The proposed model, DR-DBMS (dimensionality reduction in database management systems), creates a unique strategy that combines supervised machine learning algorithms, dimensionality reduction approaches and advanced rule-based classifiers to improve intrusion detection accuracy in terms of different types of attacks. According to sim

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Shi, Lei, Tian Li, Lin Wei, Yongcai Tao, Cuixia Li, and Yufei Gao. "FASTune: Towards Fast and Stable Database Tuning System with Reinforcement Learning." Electronics 12, no. 10 (2023): 2168. http://dx.doi.org/10.3390/electronics12102168.

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Configuration tuning is vital to achieving high performance for a database management system (DBMS). Recently, automatic tuning methods using Reinforcement Learning (RL) have been explored to find better configurations compared with database administrators (DBAs) and heuristics. However, existing RL-based methods still have several limitations: (1) Excessive overhead due to reliance on cloned databases; (2) trial-and-error strategy may produce dangerous configurations that lead to database failure; (3) lack the ability to handle dynamic workload. To address the above challenges, a fast and sta

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Glass, Alan J., and Neal M. Holtz. "A relational database for building structures." Canadian Journal of Civil Engineering 13, no. 5 (1986): 528–34. http://dx.doi.org/10.1139/l86-080.

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This paper looks at some of the requirements of a database for building structure data and the role of the building structure database in an integrated design system. A method of representing the necessary building structure data in a relational database is discussed. The basic data manipulation commands for relational databases are briefly explained. A demonstration database for a steel structure implemented on a microcomputer using a commercial relational database is presented. Key words: computer-aided design (CAD), database, database management system (DBMS), relational database, engineeri

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Thüm, Thomas, Sandro Schulze, Mario Pukall, Gunter Saake, and Sebastian Günther. "Secure and Customizable Data Management for Automotive Systems: A Feasibility Study." ISRN Software Engineering 2012 (March 18, 2012): 1–7. http://dx.doi.org/10.5402/2012/424230.

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Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding securi

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Gu, Long, Si Liu, Tiancheng Xing, Hengfeng Wei, Yuxing Chen, and David Basin. "IsoVista: Black-Box Checking Database Isolation Guarantees." Proceedings of the VLDB Endowment 17, no. 12 (2024): 4325–28. http://dx.doi.org/10.14778/3685800.3685866.

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Transactional isolation is critical to the functional correctness of database management systems (DBMSs). Much effort has recently been devoted to finding isolation bugs and validating isolation fulfilment in production DBMSs. However, there are still challenges that existing isolation checkers have not yet fully addressed. For instance, they may overlook bugs, incur high checking overhead, and return hard-to-understand counterexamples. We present IsoVista, the first black-box isolation checking system that encompasses all the following features. It builds on faithful characterizations of a ra

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