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中国科学院计算技术研究所机构知识库
Institute of Computing Technology, Chinese Academy IR
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A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers
期刊论文
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2021, 卷号: 32, 页码: 14
作者:
Ji, Kaixuan
;
Zhang, Fa
;
Chi, Ce
;
Song, Penglei
;
Zhou, Biyu
;
Marahatta, Avinab
;
Liu, Zhiyong
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/12/01
Data center
Energy efficiency
Task scheduling
Cooling system
Marginal cost
Workload prediction
PEFS: AI-Driven Prediction Based Energy-Aware Fault-Tolerant Scheduling Scheme for Cloud Data Center
期刊论文
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 4, 页码: 655-666
作者:
Marahatta, Avinab
;
Xin, Qin
;
Chi, Ce
;
Zhang, Fa
;
Liu, Zhiyong
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/06/21
Energy efficiency
Deep learning
Fault tolerant systems
Energy consumption
Scheduling
Cloud computing
Predictive models
Neural networks
Cloud computing
cloud data center
scheduling
fault-tolerance
energy-efficiency
task failure
prediction
deep neural network
Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center
期刊论文
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2021, 卷号: 9, 期号: 4, 页码: 1376-1390
作者:
Marahatta, Avinab
;
Pirbhulal, Sandeep
;
Zhang, Fa
;
Parizi, Reza M.
;
Choo, Kim-Kwang Raymond
;
Liu, Zhiyong
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2022/06/21
Cloud data center
virtualization
energy efficiency
task scheduling
task merging
virtual machine
Energy-Aware Scheduling Based on Marginal Cost and Task Classification in Heterogeneous Data Centers
期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 9, 页码: 26
作者:
Ji, Kaixuan
;
Chi, Ce
;
Zhang, Fa
;
Anta, Antonio Fernandez
;
Song, Penglei
;
Marahatta, Avinab
;
Wang, Youshi
;
Liu, Zhiyong
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/12/01
data center
energy-aware
marginal cost
task scheduling
cooling system
task classification
Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning
期刊论文
ENERGIES, 2021, 卷号: 14, 期号: 8, 页码: 32
作者:
Chi, Ce
;
Ji, Kaixuan
;
Song, Penglei
;
Marahatta, Avinab
;
Zhang, Shikui
;
Zhang, Fa
;
Qiu, Dehui
;
Liu, Zhiyong
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/12/01
data center
energy efficiency
deep reinforcement learning
multi-agent
scheduling algorithm
cooling system
Improving energy efficiency in colocation data centers for demand response
期刊论文
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2021, 卷号: 29, 页码: 14
作者:
Chi, Ce
;
Zhang, Fa
;
Ji, Kaixuan
;
Marahatta, Avinab
;
Liu, Zhiyong
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/12/01
Colocation data center
Mechanism design
Energy efficiency
Approximation algorithm
Truthfulness
Energy-Aware Fault-Tolerant Dynamic Task Scheduling Scheme for Virtualized Cloud Data Centers
期刊论文
MOBILE NETWORKS & APPLICATIONS, 2019, 卷号: 24, 期号: 3, 页码: 1063-1077
作者:
Marahatta, Avinab
;
Wang, Youshi
;
Zhang, Fa
;
Sangaiah, Arun Kumar
;
Tyagi, Sumarga Kumar Sah
;
Liu, Zhiyong
收藏
  |  
浏览/下载:92/0
  |  
提交时间:2019/08/16
Cloud computing
Cloud data center
Fault-tolerant
Dynamic task scheduling
Virtual machine
Migration
Energy-efficiency
A market-oriented incentive mechanism for emergency demand response in colocation data centers
期刊论文
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2019, 卷号: 22, 页码: 13-25
作者:
Wang, Youshi
;
Zhang, Fa
;
Chi, Ce
;
Ren, Shaolei
;
Liu, Fangming
;
Wang, Rui
;
Liu, Zhiyong
收藏
  |  
浏览/下载:92/0
  |  
提交时间:2019/08/16
Approximation algorithm
Colocation data center
Energy efficiency
Incentive mechanism
Truthfulnessa
PABO: Mitigating congestion via packet bounce in data center networks
期刊论文
COMPUTER COMMUNICATIONS, 2019, 卷号: 140, 页码: 1-14
作者:
Shi, Xiang
;
Wang, Lin
;
Zhang, Fa
;
Zheng, Kai
;
Muehlhaeuser, Max
;
Liu, Zhiyong
收藏
  |  
浏览/下载:90/0
  |  
提交时间:2019/08/16
CSCC: Convolution Split Compression Calculation Algorithm for Deep Neural Network
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 71607-71615
作者:
Fan, Shengyu
;
Yu, Hui
;
Lu, Dianjie
;
Jiao, Shuai
;
Xu, Weizhi
;
Liu, Fangai
;
Liu, Zhiyong
收藏
  |  
浏览/下载:244/0
  |  
提交时间:2019/08/16
Convolutional neural network
sparse matrix vector multiplication
neural networks
convolution
sparse matrices