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Coflow scheduling with unknown prior knowledge based on tra..:

, In: 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta),

Li, Deshun ; Cao, Ganghua ; Fang, Xudong... - p. 1684-1689 , 2022

Link: https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-Dig..

RT 
T1 <cTitle>2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)</cTitle>: T1 <Title>Coflow scheduling with unknown prior knowledge based on traffic characteristics</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10189607&Exemplar=1&LAN=DE
				
A1 Li, Deshun
A1 Cao, Ganghua
A1 Fang, Xudong
A1 Yao, Jiangyuan
A1 Yang, Qiuling
A1 Tan, Yuyin
A1 Zhang, Kewei
YR 2022
K1 Knowledge engineering
K1 Degradation
K1 Schedules
K1 Heavily-tailed distribution
K1 Knowledge based systems
K1 Decision making
K1 Data transfer
K1 Coflow
K1 scheduling
K1 prior knowledge unknown
K1 data center network
SP 1684
OP 1689
LK http://dx.doi.org/https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00357
DO https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00357
SF ELIB - SuUB Bremen

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