Título: | TUNINGCHEF: AN APPROACH FOR CHOOSING THE BEST COST-BENEFIT DATABASE TUNING ACTIONS | ||||||||||||
Autor: |
VICTOR AUGUSTO LIMA LINS DE SOUZA |
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Colaborador(es): |
SERGIO LIFSCHITZ - Orientador |
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Catalogação: | 29/NOV/2022 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=61428&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=61428&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.61428 | ||||||||||||
Resumo: | |||||||||||||
While many research works propose a way to list a set of fine-tuning options for a given workload, only a few offer a way to help the DBA make better
decisions when encountering a set of available options, especially when taking
his possibilities into consideration. We propose and develop a step-by-step decision process. Given a set of fine-tuning options, we recommend a subset with
good cost-benefit proportion. Enough context for the DBA accompanies the
recommendation to understand its reasoning, with the possibility of letting the
user build his own subset and check the expected impact. Some experimental
results are also described, showing the importance of the decision step when
fine tuning a database, where in a set on 50+ fine tuning actions suggested by
an external tool, only 8 are considered beneficial for the a specific workload.
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