Energy policies for data-center monolithic schedulers-Reference-Cited by-同舟云学术

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Energy policies for data-center monolithic schedulers

Published:2018-11 Issue: Volume:110 Page:170-181
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Fernández-Cerero Damián,Fernández-Montes Alejandro^ORCID,Ortega Juan A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. Towards understanding the usage behavior of Google cloud users: the mice and elephants phenomenon;Abdul-Rahman,2014

2. Robust and flexible power-proportional storage;Amur,2010

3. Rethinking flash in the data center;Andersen;IEEE Micro,2010

4. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing;Beloglazov;Future Generation Computer Systems,2012

5. Energy efficient resource management in virtualized cloud data centers;Beloglazov,2010

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1. Sequence-to-Sequence Architectures for Estimating Long-Term Usage in Data Centre Digital Twins;2024

2. Thermal prediction for energy management of clouds using a hybrid model based on CNN and stacking multi-layer bi-directional LSTM;Energy Reports;2023-12

3. Optimal capacity configuration of CCHP system with improved operation strategies using improved multi-objective multi-universe algorithm;Expert Systems with Applications;2022-08

4. Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres;Journal of King Saud University - Computer and Information Sciences;2022-06

5. A thermal-aware energy-efficient virtual machine placement algorithm based on fuzzy controlled binary gravitational search algorithm (FC-BGSA);Cluster Computing;2022-01-05

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