In-Memory Database Query Energy Estimation: Modeling & Green Strategy Support-Reference-Cited by-同舟云学术

In-Memory Database Query Energy Estimation: Modeling & Green Strategy Support

Published:2023-07-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE World Conference on Applied Intelligence and Computing (AIC)
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Author:

Dembele Simon Pierre¹,Bellatreche Ladjel²,Lorusso Angelo³,Marongiu Francesco³,Santaniello Domenico³

Affiliation:

1. Institute of Computer Science University of Tartu Tartu,Estonia

2. Laboratory LIAS ISAE-ENSMA Chasseneuil,France

3. University of Salerno Fisciano (SA),DIIn,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10263804/10263805/10263900.pdf?arnumber=10263900

Reference30 articles.

1. An integrated bim-iot approach to support energy monitoring;guida;International Conference on Smart Systems and Advanced Computing (Syscom-2021) 2021,0

2. HYRISE

3. Energy efficiency: The new holy grail of data management systems research;harizopoulos;ArXiv,2009

4. A green framework for DBMS based on energy-aware query optimization and energy-efficient query processing

5. Dynamic Energy Estimation of Query Plans in Database Systems

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