Learning-based power prediction for data centre operations via deep neural networks
Author:
Affiliation:
1. Nanyang Technological University, Singapore
2. South China University of Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2940679.2940685
Reference29 articles.
1. M. Arlitt and T. Jin. 1998 world cup web site access logs 1998. M. Arlitt and T. Jin. 1998 world cup web site access logs 1998.
2. Web server workload characterization
3. Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments
4. Nonparametric Statistics for Non-Statisticians
5. CHAOS: Composable Highly Accurate OS-based power models
Cited by 13 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. Job2Vec: A Self-Supervised Contrastive Learning Based HPC Job Power Consumption Prediction Framework;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
2. Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud;IEEE Transactions on Parallel and Distributed Systems;2023-04
3. Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting;ACM Transactions on Intelligent Systems and Technology;2023-02-16
4. CBLA_PM: an improved ann-based power consumption prediction algorithm for multi-type jobs on heterogeneous computing server;Cluster Computing;2023-01-04
5. Data characteristics aware prediction model for power consumption of data center servers;Concurrency and Computation: Practice and Experience;2022-02-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3