Improving the energy efficiency of relational and NoSQL databases via query optimizations-Reference-Cited by-同舟云学术

Improving the energy efficiency of relational and NoSQL databases via query optimizations

Published:2019-06 Issue: Volume:22 Page:120-133
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Mahajan Divya,Blakeney Cody,Zong Ziliang

Funder

U.S. National Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference33 articles.

1. http://www.internetlivestats.com/google-search-statistics/.

2. Energy-efficient sorting using solid state disks;Beckmann,2010

3. Does Query Performance Lead to Energy Efficiency? A Comparative Analysis of Energy Efficiency of Database Operations Under Different Workload Scenarios;Niemann,2013

4. https://01.org/blogs/2014/running-average-power-limit---rapl.

5. https://developer.nvidia.com/nvidia-management-library-nvml.

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy consumption estimation and profiling for queries in distributed database systems based on a bottom-up comprehensive energy model;Future Generation Computer Systems;2024-10

2. Towards Comprehending Energy Consumption of Database Management Systems - A Tool and Empirical Study;Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering;2024-06-18

3. SMEAGOL: A Static Code Smell Detector for MongoDB;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

4. A Multivocal Mapping Study of MongoDB Smells;2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2024-03-12

5. NoSQL-based storage systems: influence of consistency on performance, availability and energy consumption;The Journal of Supercomputing;2023-06-20