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Dissertations / Theses on the topic 'Database tuning'

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1

ALMEIDA, ANA CAROLINA BRITO DE. "FRAMEWORK TO SUPPORT DATABASE TUNING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2013. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23272@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Há uma crescente demanda por ferramentas que automatizem tarefas complexas relacionadas ao SGBD, tais como aquelas relacionadas às atividades de sintonia fina. Nestas ferramentas, existe uma falta de clareza sobre as decisões e as ações que são tomadas de forma automática. Essa tese propõe um framework para execução das heurísticas de sintonia fina para apoiar o DBA (e possivelm
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FUENTES, ALAIN DOMINGUEZ. "DATABASE SELF-TUNING WITH PARTIAL INDEXES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=29775@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Os índices parciais são estruturas de acesso no nível físico dos bancos de dados que permitem definir um subconjunto das tuplas de uma tabela, através de uma expressão condicional. Nesta dissertação estuda-se a identificação e subsequente criação automática de índices parciais que possam contribuir na melhoria do desempenho de um sistema de banco de dados. É proposto um algoritmo que examina, para cada consulta relevante, os conjuntos de atributos indexáveis para os quais a cr
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TEIXEIRA, OTAVIO FREITAS. "DATABASE SELF-TUNING IN THE CLOUD." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=33445@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A computação na nuvem vem modificando a maneira pela qual os usuários acessam e usufruem de serviços computacionais. Um sistema gerenciador de banco de dados é um dos principais recursos deste novo ambiente de trabalho. Entretanto, os grandes volumes de dados devem ser adequadamente gerenciados e disponibilizados, de acordo com as oscilações das cargas de trabalho e em função de novos parâmetros existentes. Pelas dimensões do problema neste n
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Burrell, Tiffany. "System Identification in Automatic Database Memory Tuning." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1583.

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Databases are very complex systems that require database system administrators to perform system tuning in order to achieve optimal performance. Memory tuning is vital to the performance of a database system because when the database workload exceeds its memory capacity, the results of the queries running on a system are delayed and can cause substantial user dissatisfaction. In order to solve this problem, this thesis presents a platform modeled after a closed control feedback loop to control the level of multi-query processing. Utilizing this platform provides two key assets. First, the syst
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CASTRO, LIESTER CRUZ. "TUNING OF DATABASE MANAGEMENT SYSTEMS IN VIRTUALIZED ENVIRONMENTS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34071@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Devido à enorme quantidade de dados nas aplicações atuais, observa-se o uso crescente dos Sistemas Gerenciadores de Bancos de Dados Relacionais (SGBDR) em ambientes virtualizados. Isto contribui para aumentar os requisitos das operações de entrada e saída (E/S) das cargas de trabalho relacionadas. É introduzida uma grande sobrecarga para aplicações intensivas em operações de E/S, devida à virtualização dos dispositivos e ao escalonamento das
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6

OLIVEIRA, RAFAEL PEREIRA DE. "ONTOLOGY-BASED DATABASE TUNING: THE CASE OF MATERIALIZED VIEWS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25429@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>O framework Outer-Tuning serve para apoiar a sintonia fina de índices (automática ou não) em um sistema de banco de dados. Trata-se de uma abordagem que oferece transparência acerca das alternativas disponíveis para possíveis cenários de sintonia fina, possibilitando combinar estratégias independentes para obter um melhor desempenho do SGBD e permitindo a discussão de justificativas para as ações realizadas. Através do uso de uma ontologia es
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Mohammad, Siba [Verfasser], and Gunter [Akademischer Betreuer] Saake. "Self-tuning for cloud database clusters / Siba Mohammad. Betreuer: Gunter Saake." Magdeburg : Universitätsbibliothek, 2016. http://d-nb.info/1103022105/34.

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Achyutuni, Kiran Jyotsna. "On-line tuning of data placement in parallel databases." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8124.

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9

Zheng, Min. "A self-tuning algorithm for multiple buffer pools in database management systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0016/MQ54497.pdf.

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10

Vairaitė, Rūta. "Duomenų filtravimo ir atrankos sprendimų analizė." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080710_114048-38741.

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Esant dideliems saugomų duomenų kiekiams, yra svarbus našus jų apdorojimas, taigi, vartotojams reikia vis didesnio duomenų bazių našumo. Šiame darbe sprendžiama problema, kaip paskatinti duomenų bazes veikti greičiau, kai duomenų bazių lentelės turi labai daug įrašų. Todėl skiriamas dėmesys duomenų bazių spartos derinimui, ar duomenų bazių spartos optimizavimui. Išnagrinėjus duomenų bazių esamus spartinimo metodus ir priežastis, kurios mažina našumą, yra siūlomas metodas, kuris leidžia sparčiau apdoroti ir filtruoti duomenis bei greičiau pateikti vartotojui užklausos rezultatą. Darbui atlikti
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Paulíček, Martin. "Ladění výkonnosti databází." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237021.

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The objective of this thesis was to study problems of an insufficient database processing performance and possibilities how to improve the performance with database configuration file optimizations, more powerful hardware and parallel processing. The master thesis contains a description of relational databases, storage media and different forms of parallelism with its use in database systems. There is a description of the developed software for testing database performance. The program was used for testing several database configuration files, various hardware, different database systems (Post
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MEDEIROS, ANTONY SEABRA DE. "PARTITIONING AS A TUNING ACTION FOR RELATIONAL DATABASES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30726@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>As principais estratégias de sintonia fina utilizadas por administradores de bancos de dados relacionais são a construção de estruturas de acesso, como índices, índices parciais e visões materializadas, e técnicas como desnormalização e reescrita de consultas. Estas técnicas e estruturas de acesso, juntas ou separadas, podem melhorar o desempenho das consultas submetidas ao banco de dados. O particionamento de tabelas do banco de dados, técni
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Mikulka, David. "Pokročilý nástroj pro monitorování Oracle Databáze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237133.

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This master's thesis describes possibilities of Oracle Database 10g and 11g monitoring. It let the reader know about practical tools for monitoring and describes the database's internal catalogs preserving statistics and the information about running database instances within history. Next, it describes design of an Oracle database monitoring tool, describtion of its implementation and at the end its evaluation and comparison with other similar applications.
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14

Fan, Qi. "Multi-Objective Optimization for Data Analytics in the Cloud." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX069.

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Le traitement des requêtes Big Data est devenu de plus en plus important, ce qui a conduit au développement et au déploiement dans le cloud de nombreux systèmes. Cependant, le réglage automatique des nombreux paramètres de ces systèmes Big Data introduit une complexité croissante pour répondre aux objectifs de performance et aux contraintes budgétaires des utilisateurs. La détermination des configurations optimales est un défi en raison de la nécessité de prendre en compte : 1) plusieurs objectifs de performances et contraintes budgétaires concurrents, tels qu'une faible latence et un faible c
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Chen, Jian-Hua, and 陳建驊. "Database Clustering and Performance Tuning." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/69840222781538754919.

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碩士<br>明志科技大學<br>電機工程研究所<br>98<br>Now is a network blossoming and information bursting generation. Information is distributed on the network for access; therefore, the database system, for data requesting, transacting, and storing, is more and more important. The single database server system, used traditionally, is gradually not met to the requirements from a number of users. Thus the clustering mechanism becomes a better solution. The database server clustering makes the database servers distributed and then resolves the problem of access load, but it introduces the problem of data synchroniz
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Abouzour, Mohammed. "Automatically Tuning Database Server Multiprogramming Level." Thesis, 2007. http://hdl.handle.net/10012/3207.

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Optimizing database systems to achieve the maximum attainable throughput of the underlying hardware is one of the many difficult tasks that face Database Administrators. With the increased use of database systems in many environments, this task has even become more difficult. One of the parameters that needs to be configured is the number of worker tasks that the database server uses (the multiprogramming level). This thesis will focus on how to automatically adjust the number of database server worker tasks to achieve maximum throughput under varying workload characteristics. The underlying i
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HUANG, CHIEN-CHIH, and 黃建智. "An Index Tuning Tool for PostgreSQL Database Server." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/30681391448579170342.

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碩士<br>國立中興大學<br>資訊科學研究所<br>92<br>Database management system (DBMS) plays an important role in the information age due to the huge amount of data collected through all kinds of input devices. The performance of a database management system thus becomes a critical issue for data processing. In order to establish a trustworthy standard for evaluating the performance of database management systems, the Transaction Processing Performance Council (TPC) has defined several benchmarks, such as TPC-A, TPC-B, TPC-C, TPC-D, TPC-H, etc. The index selection problem (ISP) is one of the important
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Rahm, Erhard. "Automatisches, zielorientiertes Performance Tuning von Transaktionssystemen." 1996. https://ul.qucosa.de/id/qucosa%3A32017.

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Chou, Chia-Feng, and 周家豐. "MySQL database performance tuning using MMS(MySQL Monitor System)." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/98559713592775978443.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>100<br>Nowadays, the requirement of system availability is getting higher and higher while the company e-operations become popular and indispensable. Because the database must be kept running 24 hours a day, 7 days a week, it’s necessary to implement a customized monitor system to record the server performance and database status. Most freewares from the Internet, supporting recording system status and database sessions, can provide system status information, but cannot identify the performance bottlenecks. In this thesis, we design a MySQL monitor system(MMS) whi
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Rocha, Jéssica Costa da. "Machine learning based optimization for database replication system." Master's thesis, 2020. http://hdl.handle.net/10362/109751.

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Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>This project falls under the category of database optimization problems and has the aim to enhance the performance of a data replication process between two databases systems (OLTP and OLAP). In DBMS, there are hundreds of knobs that are typically tuned manually by engineers. The configuration of such parameters influences the performance of the data replication process as well as the whole system. The goal of this project is to minimize latency, defined by the t
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Herodotou, Herodotos. "Automatic Tuning of Data-Intensive Analytical Workloads." Diss., 2012. http://hdl.handle.net/10161/5415.

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<p>Modern industrial, government, and academic organizations are collecting massive amounts of data ("Big Data") at an unprecedented scale and pace. The ability to perform timely and cost-effective analytical processing of such large datasets in order to extract deep insights is now a key ingredient for success. These insights can drive automated processes for advertisement placement, improve customer relationship management, and lead to major scientific breakthroughs.</p><p>Existing database systems are adapting to the new status quo while large-scale dataflow systems (like Dryad and MapReduc
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El, Gebaly Kareem. "Robustness in Automatic Physical Database Design." Thesis, 2007. http://hdl.handle.net/10012/3163.

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Automatic physical database design tools rely on ``what-if'' interfaces to the query optimizer to estimate the execution time of the training query workload under different candidate physical designs. The tools use these what-if interfaces to recommend physical designs that minimize the estimated execution time of the input training workload. Minimizing estimated execution time alone can lead to designs that are not robust to query optimizer errors and workload changes. In particular, if the optimizer makes errors in estimating the execution time of the workload queries, then the recommended
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Zhou, Jing. "Database performance analysis and tuning : a comparative study of TPC-H benchmark on Oracle and DB2." Thesis, 2003. http://spectrum.library.concordia.ca/2113/1/MQ77729.pdf.

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This project concentrates on the TPC-H benchmark on Oracle 9i Enterprise Edition (EE) and DB2 Universal Database Version 7.2 Enterprise Edition (EE) on Windows2000 operating system. The TPC-H benchmark is a decision-support benchmark, consisting of a set of queries and refresh functions in order to simulate a real environment. There are several size factors supported by TPC to represent the database size. In this project, we use 1GB and 10GB database size. Furthermore, the test results are used to compare the performance of Oracle and DB2 on the Windows2000 operating system. Performance tuning
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Feng, Ke-Sin, and 馮可欣. "Self-Tuning Bucket Indexing for Encrypted Databases in the Cloud." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/56640505832274766347.

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Köpcke, Hanna, and Erhard Rahm. "Training Selection for Tuning Entity Matching." 2008. https://ul.qucosa.de/id/qucosa%3A33079.

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Entity matching is a crucial and difficult task for data integration. An effective solution strategy typically has to combine several techniques and to find suitable settings for critical configuration parameters such as similarity thresholds. Supervised (training-based) approaches promise to reduce the manual work for determining (learning) effective strategies for entity matching. However, they critically depend on training data selection which is a difficult problem that has so far mostly been addressed manually by human experts. In this paper we propose a training-based framework called ST
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Grove, Laurie E. "Spectroscopic and computational insights into second-sphere amino acid tuning of active-site properties in iron and manganese superoxide dismutases." 2008. http://www.library.wisc.edu/databases/connect/dissertations.html.

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