Data characteristics aware prediction model for power consumption of data center servers-Reference-Cited by-同舟云学术

Data characteristics aware prediction model for power consumption of data center servers

Published:2022-02-24 Issue:11 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Shen Ziyu¹^ORCID,Zhou Qing¹,Zhang Xusheng¹,Xia Bin¹,Liu Zheng¹,Li Yun¹

Affiliation:

1. Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China

Funder

Graduate Research and Innovation Projects of Jiangsu Province

National Key Research and Development Program of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6902

Reference43 articles.

1. Managing overloaded hosts for energy‐efficiency in cloud data centers;Yadav R;Clust Comput,2021

2. Sakalkar V. Kontorinis V. Landhuis D. et al.Data center power oversubscription with a medium voltage power plane and priority‐aware capping. Proceedings of the 25th International Conference on Architectural Support for Programming Languages and Operating Systems; 2020:497‐511.

3. A survey of design techniques for system-level dynamic power management

4. PowerNap

5. Yadav R. Zhang W. Chen H. Guo T.Mums: energy‐aware VM selection scheme for cloud data center. Proceedings of the 2017 28th International Workshop on Database and Expert Systems Applications (DEXA); 2017:132‐136; IEEE

Cited by 2 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. Unveiling Genetic Reinforcement Learning (GRLA) and Hybrid Attention-Enhanced Gated Recurrent Unit with Random Forest (HAGRU-RF) for Energy-Efficient Containerized Data Centers Empowered by Solar Energy and AI;Sustainability;2024-05-23

2. Energy saving strategy of cloud data computing based on convolutional neural network and policy gradient algorithm;PLOS ONE;2022-12-30