SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization-Reference-Cited by-同舟云学术

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SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization

Published:2024 Issue: Volume:12 Page:79496-79518
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nsaif Mohammed¹^ORCID,Kovásznai Gergely²^ORCID,Malik Ali³^ORCID,de Fréin Ruairí³^ORCID

Affiliation:

1. Department of Information Technology, Faculty of Informatics, University of Debrecen, Debrecen, Hungary

2. Department of Computational Science, Eszterházy Károly Catholic University, Eger, Hungary

3. School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland

Funder

Science Foundation Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10546294.pdf?arnumber=10546294

Reference59 articles.

1. Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives

2. Survey of Routing Techniques-Based Optimization of Energy Consumption in SD-DCN

3. It's not easy being green

4. Growth in data center electricity use 2005 to 2010;Koomey;Completed Request New York Times,2005

5. SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning

Cited by 1 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. QoS-Aware Power-Optimized Path Selection for Data Center Networks (Q-PoPS);Electronics;2024-07-28

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