Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

IEEE Transactions on Industrial Informatics

Volumn 14, Issue 10, 2018, Pages 4548-4556

  Wan, Jiafu ^a   Chen, Baotong ^a   Wang, Shiyong ^a   Xia, Min ^b   Li, Di ^a   Liu, Chengliang ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Fog computing; industry 4.0; load balancing; particle swarm optimization (PSO); smart factory

Indexed keywords

EDGE COMPUTING; ELECTRIC LOAD MANAGEMENT; ENERGY UTILIZATION; FOG; GREEN COMPUTING; INDUSTRY 4.0; JOB SHOP SCHEDULING; MANUFACTURE; MULTI AGENT SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); POWER MANAGEMENT; RESOURCE ALLOCATION; SCHEDULING;

DISTRIBUTED SCHEDULING; ENERGY CONSUMPTION MODEL; IMPROVED PARTICLE SWARMS; MODERN INFORMATION TECHNOLOGIES; OPTIMAL SCHEDULING; OPTIMIZATION FUNCTION; PRODUCTION FACILITY; SCHEDULING OPTIMIZATION;

FOG COMPUTING;

EID: 85044350923     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2018.2818932     Document Type: Article

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