登录注册
Quick Links : Mindat手册The Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
主页关于 MindatMindat手册Mindat的历史版权Who We Are联系我们于 Mindat.org刊登广告
捐赠给 MindatCorporate Sponsorship赞助板页已赞助的板页在 Mindat刊登 广告的广告商于 Mindat.org刊登广告
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
搜索矿物的性质搜索矿物的化学Mineral Visual ExplorerAdvanced Locality Search随意显示任何一 种矿物Random Locality使用minID搜索邻近产地Search Articles搜索词汇表更多搜索选项
搜索:
矿物名称:
地区产地名称:
关键字:
 
Mindat手册添加新照片Rate Photos产区编辑报告Coordinate Completion Report添加词汇表项目
Mining Companies统计会员列表Mineral MuseumsClubs & Organizations矿物展及活动The Mindat目录表设备设置The Mineral QuizTime Machine
照片搜索Photo GalleriesSearch by ColorPhoto Colour Explorer今天最新的照片昨天最新的照片用户照片相集过去每日精选照片相集Photography

Sun, Penghao, Guo, Zehua, Liu, Sen, Lan, Julong, Wang, Junchao, Hu, Yuxiang (2020) SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning. Computer Networks, 179. 107255pp. doi:10.1016/j.comnet.2020.107255

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning
JournalComputer Networks
AuthorsSun, PenghaoAuthor
Guo, ZehuaAuthor
Liu, SenAuthor
Lan, JulongAuthor
Wang, JunchaoAuthor
Hu, YuxiangAuthor
Year2020 (October)Volume179
PublisherElsevier BV
DOIdoi:10.1016/j.comnet.2020.107255Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID13620528Long-form Identifiermindat:1:5:13620528:1
GUID0
Full ReferenceSun, Penghao, Guo, Zehua, Liu, Sen, Lan, Julong, Wang, Junchao, Hu, Yuxiang (2020) SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning. Computer Networks, 179. 107255pp. doi:10.1016/j.comnet.2020.107255
Plain TextSun, Penghao, Guo, Zehua, Liu, Sen, Lan, Julong, Wang, Junchao, Hu, Yuxiang (2020) SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning. Computer Networks, 179. 107255pp. doi:10.1016/j.comnet.2020.107255
In(2020) Computer Networks Vol. 179. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Sun, Penghao, Lan, Julong, Li, Junfei, Guo, Zehua, Hu, Yuxiang, Hu, Tao (2020) Efficient flow migration for NFV with Graph-aware deep reinforcement learning. Computer Networks, 183. 107575pp. doi:10.1016/j.comnet.2020.107575
Sun, Penghao, Guo, Zehua, Wang, Gang, Lan, Julong, Hu, Yuxiang (2020) MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning. Computer Networks, 177. 107230pp. doi:10.1016/j.comnet.2020.107230
Sun, Penghao, Guo, Zehua, Lan, Julong, Li, Junfei, Hu, Yuxiang, Baker, Thar (2021) ScaleDRL: A Scalable Deep Reinforcement Learning Approach for Traffic Engineering in SDN with Pinning Control. Computer Networks, 190. 107891pp. doi:10.1016/j.comnet.2021.107891
Hu, Tao, Yi, Peng, Lan, Julong, Hu, Yuxiang, Sun, Penghao (2019) ACST: Audit-based compromised switch tolerance for enhancing data plane robustness in software-defined networking. Computer Networks, 161. 264-280 doi:10.1016/j.comnet.2019.06.013
Pei, Xinglong, Sun, Penghao, Hu, Yuxiang, Li, Dan, Chen, Bo, Tian, Le (2024) Enabling efficient routing for traffic engineering in SDN with Deep Reinforcement Learning. Computer Networks, 241. 110220 doi:10.1016/j.comnet.2024.110220
Wu, Yulei, Wang, Zehua, Ma, Yuxiang, Leung, Victor C.M. (2021) Deep reinforcement learning for blockchain in industrial IoT: A survey. Computer Networks, 191. 108004pp. doi:10.1016/j.comnet.2021.108004
Sun, Penghao, Lan, Julong, Wang, Peng, Ma, Teng (2017) RFC: Range feature code for TCAM-based packet classification. Computer Networks, 118. 54-61 doi:10.1016/j.comnet.2017.02.016
Li, Junfei, Sun, Penghao, Hu, Yuxiang (2020) Traffic modeling and optimization in datacenters with graph neural network. Computer Networks, 181. 107528pp. doi:10.1016/j.comnet.2020.107528
Ren, Quan, Hu, Tao, Wu, Jiangxing, Hu, Yuxiang, He, Lei, Lan, Julong (2021) Multipath resilient routing for endogenous secure software defined networks. Computer Networks, 194. 108134pp. doi:10.1016/j.comnet.2021.108134
Wang, Ting, Fan, Xi, Cheng, Kai, Du, Xiao, Cai, Haibin, Wang, Yang (2023) Parameterized deep reinforcement learning with hybrid action space for energy efficient data center networks. Computer Networks, 235. 109989 doi:10.1016/j.comnet.2023.109989
Wang, Yang, Li, Yutong, Wang, Ting, Liu, Gang (2022) Towards an energy-efficient Data Center Network based on deep reinforcement learning. Computer Networks, 210. 108939 doi:10.1016/j.comnet.2022.108939
 
and/or  
版权所有© mindat.org1993年至2026年，除了规定的地方。 Mindat.org全赖于全球数千个以上成员和支持者们的参与。
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
隐私政策 - 条款和条款细则 - 联络我们 - Report a bug/vulnerability Current server date and time: 2026.6.8 12:12:39
Go to top of page