A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes-Reference-Cited by-同舟云学术

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A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Cloud Engineering (IC2E)
language:
Short-container-title:

Author:

Raj Akhilesh¹,Perarnau Swann²,Gokhale Aniruddha³

Affiliation:

1. Vanderbilt University,Department of Electrical Engineering,Nashville,Tennessee,USA

2. Argonne National Laboratory,Mathematics and Computer Science Division,Lemont,Illinois,USA

3. Vanderbilt University,Department of Computer Science,Nashville,Tennessee,USA

Funder

National Science Foundation

Office of Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10305809/10305810/10305814.pdf?arnumber=10305814

Reference29 articles.

1. Supervised Learning Based Power Management for Multicore Processors

2. iPlace: An Intelligent and Tunable Power- and Performance-Aware Virtual Machine Placement Technique for Cloud-Based Real-Time Applications

3. No "power" struggles

4. RAPL

5. Three-phase time-aware energy minimization with DVFS and unrolling for Chip Multiprocessors

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1. Reinforcement Learning-based Performance-aware Energy Management in 5G Base Stations;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

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