Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study-Reference-Cited by-同舟云学术

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Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study

Published:2024-06-18 Issue: Volume:9 Page:272-281
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
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Author:

Lella Hemasri Sai¹^ORCID,Chattaraj Rajrupa¹^ORCID,Chimalakonda Sridhar¹^ORCID,Kurra Manasa¹^ORCID

Affiliation:

1. Research in Intelligent Software & Human Analytics Lab, Indian Institute of Technology Tirupati, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661174

Reference49 articles.

1. Sarthak Agarwal and KS Rajan. 2017. Analyzing the performance of NoSQL vs. SQL databases for Spatial and Aggregate queries. In Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings Vol. 17. 4.

2. A Review of Data Centers Energy Consumption and Reliability Modeling

3. Lasse F Wolff Anthony, Benjamin Kanding, and Raghavendra Selvan. 2020. Carbontracker: Tracking and predicting the carbon footprint of training deep learning models. arXiv preprint arXiv:2007.03051 (2020).

4. Cloud databases: a paradigm shift in databases;Arora Indu;International Journal of Computer Science Issues (IJCSI),2012

5. A Study of the Energy Consumption of Databases and Cloud Patterns

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