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Full Scaling Automation for Sustainable Development of Green Data Centers
v1v2 (latest)

Full Scaling Automation for Sustainable Development of Green Data Centers

1 May 2023
Shiyu Wang
Yinbo Sun
Xiaoming Shi
Shiyi Zhu
Linfao Ma
James Y. Zhang
Yifei Zheng
Jian Liu
ArXiv (abs)PDFHTML

Papers citing "Full Scaling Automation for Sustainable Development of Green Data Centers"

14 / 14 papers shown
Title
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
Shiyu Wang
Jiawei Li
Xiaoming Shi
Zhou Ye
Baichuan Mo
Wenze Lin
Shengtong Ju
Zhixuan Chu
Ming Jin
AI4TS
120
18
0
21 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts
Xiaoming Shi
Shiyu Wang
Yuqi Nie
Dianqi Li
Zhou Ye
Qingsong Wen
Ming Jin
AI4TS
193
56
0
24 Sep 2024
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical
  Multi-Indicator Forecasting and Bayesian Decision-Making
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
Die Chen
Zhiwen Li
Mingyuan Fan
Cen Chen
Wenmeng Zhou
Lintao Ma
Guihai Chen
85
0
0
02 Aug 2024
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud
Ding Zou
Wei Lu
Zhibo Zhu
Xingyu Lu
Jun-ping Zhou
Xiaojin Wang
Kangyu Liu
Haiqing Wang
Kefan Wang
Renen Sun
87
0
0
26 Oct 2023
HyperPrompt: Prompt-based Task-Conditioning of Transformers
HyperPrompt: Prompt-based Task-Conditioning of Transformers
Yun He
H. Zheng
Yi Tay
Jai Gupta
Yu Du
...
Yaguang Li
Zhaoji Chen
Donald Metzler
Heng-Tze Cheng
Ed H. Chi
LRMVLM
108
93
0
01 Mar 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Steven C. H. Hoi
AI4TS
203
409
0
03 Feb 2022
Time-Series Representation Learning via Temporal and Contextual
  Contrasting
Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
AI4TS
104
518
0
26 Jun 2021
TS2Vec: Towards Universal Representation of Time Series
TS2Vec: Towards Universal Representation of Time Series
Zhihan Yue
Yujing Wang
Juanyong Duan
Tianmeng Yang
Congrui Huang
Yu Tong
Bixiong Xu
AI4TS
165
592
0
19 Jun 2021
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared
  Hypernetworks
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
Rabeeh Karimi Mahabadi
Sebastian Ruder
Mostafa Dehghani
James Henderson
MoE
86
314
0
08 Jun 2021
FIRM: An Intelligent Fine-Grained Resource Management Framework for
  SLO-Oriented Microservices
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Haoran Qiu
Subho Sankar Banerjee
Saurabh Jha
Zbigniew T. Kalbarczyk
Ravishankar Iyer
57
260
0
19 Aug 2020
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
199
1,076
0
24 May 2019
Neural Processes
Neural Processes
M. Garnelo
Jonathan Richard Schwarz
Dan Rosenbaum
Fabio Viola
Danilo Jimenez Rezende
S. M. Ali Eslami
Yee Whye Teh
BDLUQCVGP
138
517
0
04 Jul 2018
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
David Salinas
Valentin Flunkert
Jan Gasthaus
AI4TSUQCVBDL
124
2,157
0
13 Apr 2017
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
592
16,906
0
20 Dec 2013
1