Relevant bibliographies by topics / Data management system (DBMS)

Contents

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

Academic literature on the topic 'Data management system (DBMS)'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Data management system (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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Ghosh, Dhrubajyoti, Peeyush Gupta, Sharad Mehrotra, and Shantanu Sharma. "A Case for Enrichment in Data Management Systems." ACM SIGMOD Record 51, no. 2 (2022): 38–43. http://dx.doi.org/10.1145/3552490.3552497.

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We describe ENRICHDB, a new DBMS technology designed for emerging domains (e.g., sensor-driven smart spaces and social media analytics) that require incoming data to be enriched using expensive functions prior to its usage. To support online processing, today, such enrichment is performed outside of DBMSs, as a static data processing workflow prior to its ingestion into a DBMS. Such a strategy could result in a significant delay from the time when data arrives and when it is enriched and ingested into the DBMS, especially when the enrichment complexity is high. Also, enriching at ingestion cou
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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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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&#39;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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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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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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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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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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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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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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Dissertations / Theses on the topic "Data management system (DBMS)"

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Jäkel, Tobias. "Role-based Data Management." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-224416.

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Database systems build an integral component of today’s software systems and as such they are the central point for storing and sharing a software system’s data while ensuring global data consistency at the same time. Introducing the primitives of roles and their accompanied metatype distinction in modeling and programming languages, results in a novel paradigm of designing, extending, and programming modern software systems. In detail, roles as modeling concept enable a separation of concerns within an entity. Along with its rigid core, an entity may acquire various roles in different context
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Kanani, Saleh. "A method to evaluate database management systems for Big Data : focus on spatial data." Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74172.

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Big data of type spatial is growing exponentially with the highest rate due to extensive growth in usage of sensors, IoT and mobile devices’ spatial data generation, therefore maintaining, processing and using such data efficiently, effectively with high performance has become one of the top priorities for Database management system providers, hence spatial database features and datatypes have become serious criteria in evaluating database management systems that are supposed to work as the back-end for spatial applications and services. With exponential growth of data and introducing of new t
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Fredstam, Marcus, and Gabriel Johansson. "Comparing database management systems with SQLAlchemy : A quantitative study on database management systems." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155648.

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Knowing which database management system to use for a project is difficult to know in advance. Luckily, there are tools that can help the developer apply the same database design on multiple different database management systems without having to change the code. In this thesis, we investigate the strengths of SQLAlchemy, which is an SQL toolkit for Python. We compared SQLite, PostgreSQL and MySQL using SQLAlchemy as well as compared a pure MySQL implementation against the results from SQLAlchemy. We conclude that, for our database design, PostgreSQL was the best database management system and
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Behzadnia, Peyman. "Dynamic Energy-Aware Database Storage and Operations." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7125.

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Energy consumption has become a first-class optimization goal in design and implementation of data-intensive computing systems. This is particularly true in the design of database management systems (DBMS), which is one of the most important servers in software stack of modern data centers. Data storage system is one of the essential components of database and has been under many research efforts aiming at reducing its energy consumption. In previous work, dynamic power management (DPM) techniques that make real-time decisions to transition the disks to low-power modes are normally used to sav
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Jakšta, Deividas. "SQL serverių efektyvumo tyrimai vidutinių duomenų bazių projektuose." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_163208-59696.

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Atliekant duomenų bazės projektavimo darbus visuomet yra svarbu žinoti ar pasirinkta sistema veiks taip kaip tikimasi. Šio darbo tikslas sukurti SQL serverių testavimo įrankį, kuris padės renkantis vienokią ar kitokią sistemą. Darbe išanalizuoti panašūs projektai, įvertinti tų projektų privalumai bei trūkumai.<br>Making a data base project always important to know - do the system will work properly. The main point of this job is to create the test system of SQL servers (or DBMS – Data Bases Management System) which will help to chose that or either machine configuration. In this work were anal
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Battaglia, Bruno. "Studio e valutazione di database management system per la gestione di serie temporali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/17270/.

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La tesi è incentrata sulle time series e la loro gestione. Dopo aver esposto cosa fosse una serie temporale ed alcuni casi di utilizzo, la dissertazione prosegue elencando le famiglie di DBMS ed i criteri attraverso i quali valutarli. Successivamente si è descritto il modello che ogni DBMS implementava e, dopo aver dato un accenno di esso, si è passati alle tecniche usate per la gestione e l'analisi delle serie temporali. Ancora dopo, invece, si sono viste le tecniche di modellazione di un database in grado di gestire serie storiche e sono stati analizzati tutti i DBMS presi in esame attravers
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Kernert, David. "Density-Aware Linear Algebra in a Column-Oriented In-Memory Database System." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-210043.

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Linear algebra operations appear in nearly every application in advanced analytics, machine learning, and of various science domains. Until today, many data analysts and scientists tend to use statistics software packages or hand-crafted solutions for their analysis. In the era of data deluge, however, the external statistics packages and custom analysis programs that often run on single-workstations are incapable to keep up with the vast increase in data volume and size. In particular, there is an increasing demand of scientists for large scale data manipulation, orchestration, and advanced d
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Lehner, Wolfgang. "Energy-Efficient In-Memory Database Computing." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-115547.

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The efficient and flexible management of large datasets is one of the core requirements of modern business applications. Having access to consistent and up-to-date information is the foundation for operational, tactical, and strategic decision making. Within the last few years, the database community sparked a large number of extremely innovative research projects to push the envelope in the context of modern database system architectures. In this paper, we outline requirements and influencing factors to identify some of the hot research topics in database management systems. We argue that—eve
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Shin, Dong Il. "Improving trust and securing data accessibility for e-health decision making by using data encryption techniques." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/50636/1/Dong_Il_Shin_Thesis.pdf.

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In the medical and healthcare arena, patients‟ data is not just their own personal history but also a valuable large dataset for finding solutions for diseases. While electronic medical records are becoming popular and are used in healthcare work places like hospitals, as well as insurance companies, and by major stakeholders such as physicians and their patients, the accessibility of such information should be dealt with in a way that preserves privacy and security. Thus, finding the best way to keep the data secure has become an important issue in the area of database security. Sensitive med
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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 "Data management system (DBMS)"

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

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

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Gagarina, Larisa, and Julia Sergeevna Shevnina. Development and operation of automated information systems. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/1985727.

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The textbook provides the basic concepts and definitions of the design process of automated information systems (AIS) based on domain analysis; highlights the issues of developing the software and information core of AIS based on database management systems (DBMS). Computer-aided design systems (AIS), computer-aided design tools for database structures, the SQL structural query language, and standard database access systems are considered. Remote access clients are given as fundamental factors in the study of computer-aided database design and the construction of database queries is given; cli
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Institute, SAS, ed. System 2000 DBMS, [Sperry 1100 series computers]. SAS Institute, 1986.

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Rosenfeld, Pilar N. Investigation of DBMS for use in a research environment. Rand Corp., 1985.

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R, Moreau Dennis, Yen Lin, and United States. National Aeronautics and Space Administration., eds. USL/DBMS NASA/PC R&D project system testing standards. University of Southwestern Louisiana, Computer Science Dept., 1989.

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United States. Environmental Protection Agency. Office of Research and Development, ed. GIS\Key Environmental Data Management System. U.S. Environmental Protection Agency, Office of Research and Development, 1994.

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Organization, World Meteorological, ed. CLICOM project: (Climate data management system). World Meteorlogical Organization, 1989.

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Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. U.S. Dept. of the Interior, Geological Survey, 1986.

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Ferrigno, Carmelo F. A data-management system for detailed areal interpretive data. U.S. Dept. of the Interior, Geological Survey, 1986.

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Book chapters on the topic "Data management system (DBMS)"

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Geisler, Sandra, and Christoph Quix. "Database Management Systems (DBMS)." In Encyclopedia of Big Data. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-32010-6_538.

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Geisler, Sandra, and Christoph Quix. "Database Management Systems (DBMS)." In Encyclopedia of Big Data. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-32001-4_538-1.

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Patni, Jagdish Chandra, Hitesh Kumar Sharma, Ravi Tomar, and Avita Katal. "Data Models and Architecture of a DBMS." In Database Management System. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429282843-2.

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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 load and execute hardware accelerators for various operators on relational and streaming data. Moreover, we present novel DBMS techniques for partitioning query-execution plans between a host and Reconfigurable data-Provider Units (RPUs) and for mapping operators onto RPUs by means of hardware reconfiguration.
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Agbona, Afolabi, Prasad Peteti, Béla Teeken, et al. "Data Management in Multi-disciplinary African RTB Crop Breeding Programs." In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13276-6_5.

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AbstractQuality phenotype and genotype data are important for the success of a breeding program. Like most programs, African breeding programs generate large multi-disciplinary phenotypic and genotypic datasets from several locations, that must be carefully managed through the use of an appropriate database management system (DBMS) in order to generate reliable and accurate information for breeding-decisions. A DBMS is essential in data collection, storage, retrieval, validation, curation and analysis in plant breeding programs to enhance the ultimate goal of increasing genetic gain. The International Institute of Tropical Agriculture (IITA), working on the roots, tubers and banana (RTB) crops like cassava, yam, banana and plantain has deployed a FAIR-compliant (Findable, Accessible, Interoperable, Reusable) database; BREEDBASE. The functionalities of this database in data management and analysis have been instrumental in achieving breeding goals. Standard Operating Procedures (SOP) for each breeding process have been developed to allow a cognitive walkthrough for users. This has further helped to increase the usage and enhance the acceptability of the system. The wide acceptability gained among breeders in global cassava research programs has resulted in improvements in the precision and quality of genotype and phenotype data, and subsequent improvement in achievement of breeding program goals. Several innovative gender responsive approaches and initiatives have identified users and their preferences which have informed improved customer and product profiles. A remaining bottleneck is the effective linking of data on preferences and social information of crop users with technical breeding data to make this process more effective.
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Cafarella, Michael, David DeWitt, Vijay Gadepally, et al. "A Polystore Based Database Operating System (DBOS)." In Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71055-2_1.

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Kumar, Deeptaanshu, Qian Li, Jason Li, et al. "Data Governance in a Database Operating System (DBOS)." In Heterogeneous Data Management, Polystores, and Analytics for Healthcare. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-93663-1_4.

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Korzeniowski, Paul. "The Next Step in DBMS Management." In Data Management, 3rd ed. Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-51.

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Korzeniowski, Paul. "Gauging How Linux May Chang„, the DBMS Market." In Data Management, 3rd ed. Auerbach Publications, 2021. http://dx.doi.org/10.1201/9780429114878-91.

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Jasny, Matthias, Tobias Ziegler, and Carsten Binnig. "Scalable Data Management on Next-Generation Data Center Networks." In Scalable Data Management for Future Hardware. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-74097-8_8.

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Abstract The landscape of distributed Database Management Systems (DBMSs) has been fundamentally transformed by advancements in data center network technologies. Traditionally, these systems were designed to minimize network communication, which was perceived as a significant bottleneck. However, with the advent of high-speed networks and technologies such as Remote Direct Memory Access (RDMA), this perception is changing. RDMA allows direct memory access to remote machines at speeds comparable to local memory access, challenging the long-standing belief that network communication is inherently slow. This chapter explores how the evolution of data center networks, mainly through RDMA, has enabled new designs for disaggregated databases. Moreover, the chapter delves into programmable networks as a solution beyond RDMA. In particular, this chapter provides an overview of RDMA and programmable networks and introduces novel ideas for optimizing databases in disaggregated setups using RDMA. Furthermore, two approaches are highlighted that leverage programmable networks in addition to RDMA to improve the efficiency of disaggregated databases even further: P4DB, which leverages programmable data planes for in-network OLTP processing, and zero-sided RDMA, a network-driven data shuffling method that enhances communication efficiency between heterogeneous accelerators. By showcasing these advancements, we demonstrate how database systems can utilize specialized networking hardware to achieve unprecedented performance levels. The chapter concludes with a summary and discussion of future research directions in the field of data center network technologies and their impact on distributed DBMSs.
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Conference papers on the topic "Data management system (DBMS)"

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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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Hwang, Jin-Ho, Jeong Wha Lee, Gun-Woo Kim, Hak Soo Kim, and Jin Hyun Son. "An Efficient Static Compressed Data Management System for an Embedded DBMS." In 2009 International Conference on Communication Software and Networks. IEEE, 2009. http://dx.doi.org/10.1109/iccsn.2009.155.

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Gahar, Rania Mkhinini, Olfa Arfaoui, and Minyar Sassi Hidri. "Towards Big Data Modeling and Management Systems: From DBMS to BDMS." In 2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET). IEEE, 2023. http://dx.doi.org/10.1109/ic_aset58101.2023.10151190.

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Trappey, Amy J. C., and Jiang-Liang Hou. "A Data and Knowledge Management System for Hydraulic Fixtures." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1111.

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Abstract In order to achieve an efficient integration of product information, the product data for design, manufacturing, untill logistic supports should be incorporated into a product data management (PDM) system. Specifically, large amount of manufacturing information, e.g., tooling, machining, and fixturing specifications, are determined at the production planning stage. These information need to be properly documented and managed for better production planning and control. Due to the increasing demand of modern fixture and tooling applications, this paper focuses on the construction of inf
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Niebur, Glen L., and Thomas R. Chase. "A Grammar Driven Data Translation System for Computer Integrated Manufacturing." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/eim-1419.

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Abstract Integration of engineering software continues to be an important topic in mechanical design and manufacturing. One integration technique which has been proposed is to store a complete product representation in a single database using a database management system. In order to integrate existing CAE applications which are not designed for use with a DBMS, a method for importing and exporting data to the database is needed. A system for recognizing and translating a large class of engineering data, those data formats which can be described by regular grammars, is proposed.
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Berra, P. Bruce. "Optical Database Machines." In Optical Computing. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/optcomp.1991.tuc1.

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Databases have become an important aspect of our daily lives. We encounter them in such diverse fields as airline reservations, stock quotation systems, medical information systems, entertainment, sports and a host of other areas. Database management systems (DBMS) place considerable demands on current computing systems primarily because of the large size of the databases, the general functionality of the DBMS and the stringent time requirements for the retrieval of the data. The large size of the database dictates that secondary storage such as optical and magnetic disks be used and this lead
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Hamdi, Sana, Malek Ben Salem, Emna Bouazizi, and Rafik Bouaziz. "Management of the real-time derived data in a Distributed Real-Time DBMS using the semi-total replication data." In 2013 ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2013. http://dx.doi.org/10.1109/aiccsa.2013.6616447.

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Silva, Fabrício Ávila da, Raquel Vieira Coelho Costa, Nina Edelweiss, and Clesio Saraiva dos Santos. "Using the Temporal Versions Model in a Software Configuration Management Environment." In Simpósio Brasileiro de Engenharia de Software. Sociedade Brasileira de Computação, 2003. http://dx.doi.org/10.5753/sbes.2003.23868.

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Temporal Versions Model (TVM) is an object-oriented data model with versioning facilities, allowing revisions and project alternatives, and temporal features, used to maintain the history of the system evolution. This paper presents TVM under a Software Configuration Management (SCM) perspective, compares this model with available SCM tools, and describes why TVM is adequate to be used as the basis of an SCM environment. A modeling example and the implementation of TVM on a commercial Database Management System (DBMS), which is an ongoing work, are also presented.
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Gourishankar, Yamini, and Frank Weisgerber. "Automation of Wind Pressure Computation Using a Data Management Approach." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/edm1993-0107.

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Abstract It is observed that calculating the wind pressures on structures involves more data retrieval from the ASCE standard than any subjective reasoning on the designer’s part. Once the initial design requirements are established, the procedure involved in the computation is straightforward. This paper discusses an approach to automate the process associated with wind pressure computation on one story and multi-story buildings using a data management strategy (implemented using the ORACLE database management system). In the prototype system developed herein, the designer supplies the design
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Reports on the topic "Data management system (DBMS)"

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Lum, Vincent Y., and Klaus Meyer-Wegener. A Conceptual Design of a Multimedia DBMS (Database Management System) for Advanced Applications. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada199548.

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McCullouch, Bob. Automated Construction Data Management System. Purdue University, 1991. http://dx.doi.org/10.5703/1288284314186.

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McCullouch, Bob. Automated Construction Data Management System. Purdue University Press, 1991. http://dx.doi.org/10.5703/1288284313424.

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Kerrigan, W. Analytical Data Management System (ADMS). Office of Scientific and Technical Information (OSTI), 1987. http://dx.doi.org/10.2172/6845581.

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Wilson, D. Data management plan for HANDI 2000 business management system. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/362441.

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Thomas E. McDermott. Standard Data Exchanges for Distribution System Management. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/917256.

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Narva, Adele. Mobilization Data Base Management System (MOBDABS) Documentation. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada200181.

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Fowler, Kimberly M., Christopher J. Anderson, and Benjamin E. Ford. Energy Data Management System Commercial Product Summary. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1400350.

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McCullouch, Bob. Automated Construction Data Management System : Executive Summary. Purdue University, 1991. http://dx.doi.org/10.5703/1288284314187.

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Bierman, A., and M. Bjorklund. A YANG Data Model for System Management. RFC Editor, 2014. http://dx.doi.org/10.17487/rfc7317.

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