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Machine Learning Approach For Predicting The SQL Query Resource Usage

Sud, Sanket (2022) Machine Learning Approach For Predicting The SQL Query Resource Usage. Masters thesis, Dublin, National College of Ireland.

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The growth of the internet over the century happened because of a lot of information available on it. The most crucial item is data, which can serve as a source of knowledge. There is always more information to access and process. Query processing is taken into consideration while acquiring access to a large amount of data. We must consider the CPU and memory requirements for the query execution while processing the data. We can take the machine learning approach into account for forecasting the resources for a certain query. This will be useful for large setups that process a lot of data and require a lot of computing power. Machine learning helps distribute the workload of the requests. This method aids in scaling and resource management for both small- and large-scale data.

Item Type: Thesis (Masters)
Anant, Aaloka
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 26 May 2023 16:50
Last Modified: 26 May 2023 16:50

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