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Relevant bibliographies by topics / DBMS

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Academic literature on the topic 'DBMS'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "DBMS"

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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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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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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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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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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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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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Antonio, Ramon, and Rodriges Zalipynis. "SimDB in action." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3742–45. http://dx.doi.org/10.14778/3554821.3554889.

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Array DBMSs operate on big N -d arrays. Cellular automata (CA) work on a discrete lattice of cells, essentially on N -d arrays. CA facilitate decision support as they realistically simulate complex phenomena including road traffic, fire spread, and urban growth. Array DBMSs can bring numerous benefits to the CA domain via a "database approach": powerful parallelization, out-of-the box array operators, and interoperability to name a few. On the other hand, CA expand the area of Array DBMS applications and open a wide range of R&D opportunities. However, it is not straightforward to make an

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Zalipynis, Ramon Antonio Rodriges. "Array DBMS." Proceedings of the VLDB Endowment 14, no. 12 (2021): 3186–89. http://dx.doi.org/10.14778/3476311.3476404.

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Array DBMSs strive to be the best systems for managing, processing, and even visualizing big N -d arrays. The last decade blossomed with R&D in array DBMS, making it a young and fast-evolving area. We present the first comprehensive tutorial on array DBMS R&D. We start from past impactful results that are still relevant today, then we cover contemporary array DBMSs, array-oriented systems, and state-of-the-art research in array management, flavored with numerous promising R&D opportunities for future work. A great deal of our tutorial was not covered in any previous tutorial or sur

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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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Lerner, Alberto, Matthias Jasny, Theo Jepsen, Carsten Binnig, and Philippe Cudré-Mauroux. "DBMS annihilator." Proceedings of the VLDB Endowment 15, no. 12 (2022): 3682–85. http://dx.doi.org/10.14778/3554821.3554874.

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Modern DBMS engines can achieve unprecedented transaction processing speeds thanks to the invention of clever data structures, concurrency schemes, and improvements in CPU and memory subsystems. However, developing realistic and efficient networked clients to benchmark these systems remains daunting. Simply put, traditional client-side networking stacks present high overheads and thus cannot exercise the high performance that modern DBMSs can, in principle, provide. In this demo, we propose a different approach to benchmarking; we showcase a new framework that leverages hardware-software co-de

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Dissertations / Theses on the topic "DBMS"

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Thomas, Jeffrey Alan. "P2 : a lightweight DBMS generator /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Zou, Hanzheng. "Python Integration with a Functional DBMS." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-112033.

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<p>Python is an Object Oriented programming language and widely used nowadays. This report describes how to extend a functional database system Amos II for integration with Python. Several possibilities are analyzed to combine the Amos II C external interfaces with those of Python. Based on these discussions, new functionality has been added to the Python language by implementing a Python C external module. A basic API called PyAmos, interfacing Python and Amos II, is proposed and implemented in this work. To utilize object oriented nature of Python, some new Python classes are also defined fo

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Intrusi, Valentina. "Analisi e sperimentazione del DBMS VoltDB." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7775/.

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Suh, Youngkyoon. "Exploring Causal Factors of DBMS Thrashing." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556213.

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Modern DBMSes are designed to support many transactions running simultaneously. DBMS thrashing is indicated by the existence of a sharp drop in transaction throughput. The thrashing behavior in DBMSes is a serious concern to DBAs engaged in on-line transaction processing (OLTP) and on-line analytical processing (OLAP) systems, as well as to DBMS implementors developing technologies related to concurrency control. If thrashing is prevalent in a DBMS, thousands of transactions may be aborted, resulting in little progress in transaction throughput over time. From an engineering perspective, there

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Alomari, Mohammad. "Ensuring Serializable Executions with Snapshot Isolation DBMS." Thesis, The University of Sydney, 2009. http://hdl.handle.net/2123/4211.

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Snapshot Isolation (SI) is a multiversion concurrency control that has been implemented by open source and commercial database systems such as PostgreSQL and Oracle. The main feature of SI is that a read operation does not block a write operation and vice versa, which allows higher degree of concurrency than traditional two-phase locking. SI prevents many anomalies that appear in other isolation levels, but it still can result in non-serializable execution, in which database integrity constraints can be violated. Several techniques have been proposed to ensure serializable execution with engin

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Alomari, Mohammad. "Ensuring Serializable Executions with Snapshot Isolation DBMS." University of Sydney, 2009. http://hdl.handle.net/2123/4211.

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Doctor of Philosophy(PhD)<br>Snapshot Isolation (SI) is a multiversion concurrency control that has been implemented by open source and commercial database systems such as PostgreSQL and Oracle. The main feature of SI is that a read operation does not block a write operation and vice versa, which allows higher degree of concurrency than traditional two-phase locking. SI prevents many anomalies that appear in other isolation levels, but it still can result in non-serializable execution, in which database integrity constraints can be violated. Several techniques have been proposed to ensure seri

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Nayeem, Fatima, and M. Vijayakamal. "Policies Based Intrusion Response System for DBMS." IJCSN, 2012. http://hdl.handle.net/10150/271494.

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Relational databases are built on Relational Model proposed by Dr. E. F. Codd. The relational model has become a consistent and widely used DBMS in the world. The databases in this model are efficient in storing and retrieval of data besides providing authentication through credentials. However, there might be many other attacks apart from stealing credentials and intruding database. Adversaries may always try to intrude into the relational database for monetary or other gains [1]. The relational databases are subjected to malicious attacks as they hold the valuable business data whi

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Soro, Riccardo. "Analisi e benchmarking di dbms in contesti distribuiti." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il documento analizza diversi software di DDBMS; nello specifico sono prese in esame le seguenti tecnologie: MySQL Replication, Galera Cluster, MongoDB Shard, MongoDB Replication Set e MySQL Cluster. Per ogni tecnologia sono stati individuati i punti di forza attraverso benchmark e test su un’infrastruttura molto simile a quelle utilizzate dalle aziende in ambienti di produzione. Non è emerso un software migliore di altri sotto tutti i punti di vista, ognuno di loro è risultato specializzato per un tipo di applicazione diversa.

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Mickevicius, Martynas. "Querying N-triples from a Extensible Functional DBMS." Thesis, Uppsala University, Department of Information Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-129454.

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<p>The goal of this project is to provide an N-triple wrapper for the extensible DBMS Amos II. This enables search and filter through the N-Triple streams using the AmosQL query language to return relevant triples back as a result stream. To implement this wrapper, first N-triples streams are parsed using the Bison/Flex parser generator. The parsed triples are streamed to Amos II using its foreignfunction interface. The query processing kernel of Amos II then enables general queries to N-triple data sources. The report includes a performance evaluation for the wrapper.</p>

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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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Books on the topic "DBMS"

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ANSI/X3/SPARC Database System Study Group. Database Architecture Framework Task Group, ed. Reference model for DBMS standardization. U.S. Dept. of Commerce, National Bureau of Standards, 1985.

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(Firm), INPUT, ed. Future DBMS markets, 1987-1992. INPUT, 1987.

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Corporation, Datapro Research, ed. Buyer's guide to DBMS/data dictionaries. Datapro, 1986.

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Lum, Vincent Y. Integrating advanced techniques into multimedia DBMS. Naval Postgraduate School, 1987.

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North, Ken. Windows multi-DBMS programming: Using C[plus plus], Visual BASIC, ODBC and Tools for DBMS Projects. John Wiley & Sons, 1994.

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Institute, SAS, ed. System 2000 DBMS messages and codes manual. SAS Institute, 1986.

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Institute, SAS, ed. System 2000 DBMS, [Sperry 1100 series computers]. SAS Institute, 1986.

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Corp, Computer Technology Research, ed. DB2: IBM's DBMS strategy for the 1990s. Computer Technology Research Corp., 1989.

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North, KendallE. Windows Multi-DBMS programming: Using C[plus plus] Visual BASIC, ODBC, OLE2, and tools for DBMS projects. Wiley, 1995.

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North, Kendall E. Windows multi-DBMS programming: Using C [plus] [plus], Visual Basic, ODBC, OLE2, and tools for DBMS projects. Wiley, 1994.

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Book chapters on the topic "DBMS"

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Elnikety, Sameh. "Distributed DBMS." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_654-2.

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Harizopoulos, Stavros. "Staged DBMS." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_656-2.

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Gehrke, Johannes. "DBMS Component." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_672-2.

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Gehrke, Johannes. "DBMS Interface." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_673-2.

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Beynon-Davies, Paul. "DBMS-Kernel." In Database Systems. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13722-0_7.

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Beynon-Davies, Paul. "DBMS Toolkit." In Database Systems. Macmillan Education UK, 1996. http://dx.doi.org/10.1007/978-1-349-13722-0_8.

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Elnikety, Sameh. "Distributed DBMS." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_654.

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Harizopoulos, Stavros. "Staged DBMS." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_656.

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Gehrke, Johannes. "DBMS Component." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_672.

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Gehrke, Johannes. "DBMS Interface." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_673.

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Conference papers on the topic "DBMS"

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Ramakrishnan, Sub, and Emeka Nwosu. "DBMS course." In the 34th SIGCSE technical symposium. ACM Press, 2003. http://dx.doi.org/10.1145/611892.611922.

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Currim, Sabah, Richard T. Snodgrass, Young-Kyoon Suh, Rui Zhang, Matthew Wong Johnson, and Cheng Yi. "DBMS metrology." In the 2013 international conference. ACM Press, 2013. http://dx.doi.org/10.1145/2463676.2465331.

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Narayanan, T. S., P. Goyal, and B. C. Desai. "HD-DBMS." In the 1985 ACM SIGSMALL symposium. ACM Press, 1985. http://dx.doi.org/10.1145/317164.317166.

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Rosenmüller, Marko, Norbert Siegmund, Horst Schirmeier, et al. "FAME-DBMS." In the 2008 EDBT workshop. ACM Press, 2008. http://dx.doi.org/10.1145/1385486.1385488.

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Lustosa, Hermano, Fábio Porto, and Patrick Valduriez. "SAVIME: A Database Management System for Simulation Data Analysis and Visualization." In XXXIV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbbd.2019.8810.

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Limitations in current DBMSs prevent their wide adoption in scientific applications. In order to make scientific applications benefit from DBMS support, enabling declarative data analysis and visualization over scientific data, we present an in-memory array DBMS system called SAVIME. In this work we describe the system SAVIME, along with its data model. Our preliminary evaluation shows how SAVIME, by using a simple storage definition language (SDL) can outperform the state-of-the-art array database system, SciDB, during the process of data ingestion. We also show that is possible to use SAVIME

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Kleptsov, M. Y., M. A. Vasilyeva, and M. V. Katina. "ADMINISTRATION AND ENSURING THE INTEGRITY OF DATABASES RUNNING UNDER THE POSTGRESQL DATABASE MANAGEMENT SYSTEM." In Intelligent transport systems. Russian University of Transport, 2024. http://dx.doi.org/10.30932/9785002446094-2024-154-160.

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Computer systems use databases for correct operating. Relational databases have become widespread. There are several leaders in relational DBMSs in the world. Among them is the PostgreSQL DBMS, which is a freely distributed product. A crucial aspect of database administration throughout all stages (design, development, implementation, and maintenance) is the need to give due consideration to security matters and the application of appropriate database access controls. This issue is relevant due to the increasing number of users within the organization's global networks who have direct access t

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Stonebraker, Michael. "The Miro DBMS." In the 1993 ACM SIGMOD international conference. ACM Press, 1993. http://dx.doi.org/10.1145/170035.170124.

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Rahman, Syed Saif ur, Azeem Lodhi, and Gunter Saake. "Cellular DBMS — Architecture for biologically-inspired customizable autonomous DBMS." In 2009 First International Conference on Networked Digital Technologies (NDT). IEEE, 2009. http://dx.doi.org/10.1109/ndt.2009.5272072.

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Gomes, Carlos, Eduardo Tavares, and Meuse Nogueira De O. Junior. "Energy Consumption Evaluation of NoSQL DBMSs." In XV Workshop em Desempenho de Sistemas Computacionais e de Comunicação. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wperformance.2016.9729.

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Over the years, NoSQL Database Management Systems (DBMS) have been adopted as an alternative to the constraints of relational/SQL DBMSs. In order to demonstrate their feasibility, works have evaluated NoSQL DBMSs regarding some performance metrics, but energy consumption has not been assessed. Indeed, energy consumption is an issue that should not be neglected due to the rise of energy costs and environmental sustainability. This paper presents a peformance and energy consumption evaluation of NoSQL DBMSs, more specifically, Cassandra (column), MongoDB (document-oriented), Redis (key-value). E

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Mohan, C. "IBM's relational DBMS products." In the 1993 ACM SIGMOD international conference. ACM Press, 1993. http://dx.doi.org/10.1145/170035.170129.

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Reports on the topic "DBMS"

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Schaefer, Marvin, Brian Hubbard, Dan Sterne, Theresa Haley, and Noelle McAuliffe. Secure DBMS Auditor. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada225528.

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O'Connor, James P., Mohammed S. Hasan, and Mark S. Smith. TCB Subset DBMS Architecture Project. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada306601.

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Burns, Thomas, Elizabeth Fong, David Jefferson, et al. Reference model for DBMS standardization :. National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3173.

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Fong, Elizabeth N., John Gersting, Kate Kinsley, et al. Reference model for DBMS user facility. National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nbs.ir.88-3709.

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Stonebraker, Michael. A Generalized DBMS to Support Diversified Data. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada183297.

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Rowe, L., M. Stonebraker, and E. Wong. A Generalized DBMS to Support Diverse Data. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada162384.

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Keim, Daniel A., and Vincent Y. Lum. A Graphical Database Interface for a Multimedia DBMS. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada243283.

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Minear, Spence, Dick O'Brien, and Lynn Te Winkel. Supporting a Secure DBMS on the DTOS Microkernel (SDDM). Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328599.

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Keim, Daniel A., Kyung-Chang Kim, and Vincent Y. Lum. A Friendly and Intelligent Approach to Data Retrieval in a Multimedia DBMS. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada243284.

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Pfaltz, John L., and Ratko Orlandic. Implementation of Distributed ADAMS Over Legion Using a Component DBMS Design. Final Report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/1179244.

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