Can we speculate running application with server power consumption trace?
In this paper, we propose to detect the running applications in a server by classifying the observed power consumption series for the purpose of data center energy consumption monitoring and analysis. Time series classification problem has been extensively studied with various distance measurements...
Main Authors: | Li, Yuanlong, Hu, Han, Wen, Yonggang, Zhang, Jun |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/86197 http://hdl.handle.net/10220/48300 |
Similar Items
-
Class-incremental learning on multivariate time series via shape-aligned temporal distillation
by: Qiao, Zhongzheng, et al.
Published: (2023) -
14.384 Time Series Analysis, Fall 2002
by: Kuersteiner, Guido M.
Published: (2002) -
A cost-sensitive attention temporal convolutional network based on adaptive top-k differential evolution for imbalanced time-series classification
by: Zhang, Xiaocai, et al.
Published: (2023) -
Time series classification using diversified Ensemble Deep Random Vector Functional Link and Resnet features
by: Cheng, Wenxin, et al.
Published: (2022) -
A time series analysis of determinants of FDI in Afghanistan: which one matters the most, security or economic growth? / Abdul Fareed Delawari
by: Delawari, Abdul Fareed
Published: (2018)