Алгоритмизация повторной оптимизации запросов в облачных базах данных на основе компьютерного обучения
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Algorithmization of repeated query optimization in cloud databases with the aid of computer training

Almusawi O.   Kravets O.J.  

UDC 004.9
DOI: 10.26102/2310-6018/2022.36.1.020

  • Abstract
  • List of references
  • About authors

In cloud environments, hardware configuration, data usage, and workload distribution are constantly changing. These changes make it difficult for the query optimizer of the cloud database management system to choose the optimal query execution plan (QEP). In scientific literature, it was proposed to re-optimize the query during its execution for the purpose of optimizing it with a more accurate cost estimate. However, some of these optimizations cannot provide performance gains in terms of query response time or monetary costs, which are the two optimization goals for cloud databases, and may have a negative impact on performance due to overhead. This raises the question of how to determine when the optimization is efficient. The aim of the study is to develop a method of repeated query optimization that uses computer training. The key idea of the algorithm is to employ past query executions to learn how to predict the effectiveness of query re-optimization, and this is done in order to help the query optimizer avoid unnecessary re-optimization of queries for future ones. The method runs the query step-by-step, utilizing a computer training model, to predict whether re-optimization of the query will be useful after the stage is completed, and calls the query optimizer to automatically perform re-optimization. An experimental evaluation of the effectiveness is to be carried out.

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Almusawi Osamah Adil Raheem

Email: oalmusawi@uowasit.edu.iq

University of Wasit

El-Cut, Iraq

Kravets Oleg Jakovlevich
doctor of technical sciences professor
Email: csit@bk.ru

Voronezh State Technical University

Voronezh, Russian Federation

Keywords: repeated query optimization, cloud databases, computer training, multi-stage query, automation of execution

For citation: Almusawi O. Kravets O.J. Algorithmization of repeated query optimization in cloud databases with the aid of computer training. Modeling, Optimization and Information Technology. 2022;10(1). Available from: https://moitvivt.ru/ru/journal/pdf?id=1147 DOI: 10.26102/2310-6018/2022.36.1.020 (In Russ).

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Full text in PDF

Received 13.02.2022

Revised 24.02.2022

Accepted 09.03.2022

Published 13.03.2022