中国科学院计算技术研究所机构知识库

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	A Deep Reinforcement Learning-Based Preemptive Approach for Cost-Aware Cloud Job Scheduling 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 422-432 作者:  Cheng, Long;  Wang, Yue;  Cheng, Feng;  Liu, Cheng;  Zhao, Zhiming;  Wang, Ying 收藏  |  浏览/下载：5/0  |  提交时间：2024/12/06 Cloud computing  Processor scheduling  Real-time systems  Costs  Quality of service  Time factors  Dynamic scheduling  DRL  job scheduling  preemptive mechanism  optimization
	Improving Reliability and Sustainability of Hazard-Aware Cyber-Physical Systems 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2024, 卷号: 9, 期号: 3, 页码: 271-282 作者:  Cong, Peijin;  Zhou, Junlong;  Jiang, Weiming;  Chen, Mingsong;  Hu, Shiyan;  Li, Keqin 收藏  |  浏览/下载：6/0  |  提交时间：2024/12/06 Reliability  Real-time systems  Network systems  Internet of Things  Computer network reliability  Accidents  Transient analysis  Cyber-physical systems (CPSs)  hazard-aware CPSs  reliability  real-time messages  sustainability
	Design and Analysis of Energy-Efficient Dynamic Range Approximate Logarithmic Multipliers for Machine Learning 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 4, 页码: 612-625 作者:  Yin, Peipei;  Wang, Chenghua;  Waris, Haroon;  Liu, Weiqiang;  Han, Yinhe;  Lombardi, Fabrizio 收藏  |  浏览/下载：39/0  |  提交时间：2022/06/21 Adders  Dynamic range  Machine learning  Handwriting recognition  Power demand  Approximate computing  Heuristic algorithms  Approximate computing  logarithmic multiplier  operand truncation  low power
	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：33/0  |  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
	Estimating the Resource Demand in Power-Aware Clusters by Regressing a Linearly Dependent Relation 期刊论文 IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 卷号: 6, 期号: 3, 页码: 385-397 作者:  Hu, Cheng;  Deng, Yuhui;  Yang, Laurence T.;  Zhao, Yufan 收藏  |  浏览/下载：48/0  |  提交时间：2021/12/01 Estimation  Servers  Linear regression  Quality of service  Computational modeling  Analytical models  Task analysis  Resource demand estimation  linear regression  power-aware cluster  QoS  SLA