Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications

IEEE Transactions on Industrial Informatics

Volumn 14, Issue 10, 2018, Pages 4497-4506

  Mishra, Sambit Kumar ^a   Puthal, Deepak ^b   Rodrigues, Joel J P C ^c,d,e,f   Sahoo, Bibhudatta ^a   Dutkiewicz, Eryk ^b  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c National Institute of Telecommunications   (Brazil)

^d INSTITUTO DE TELECOMUNICAÇÕES   (Portugal)

^e ITMO UNIVERSITY   (Russian Federation)

^f UNIVERSITY OF FORTALEZA   (Brazil)

Author keywords

Bat algorithm (BAT); binary PSO (BPSO); cloud computing; fog computing; metaheuristic techniques; particle swarm optimization (PSO); service allocation problem

Indexed keywords

BIG DATA; CLOUD COMPUTING; ECONOMIC AND SOCIAL EFFECTS; EDGE COMPUTING; ENERGY UTILIZATION; FOG; GREEN COMPUTING; PARTICLE SWARM OPTIMIZATION (PSO); POLYNOMIAL APPROXIMATION; QUALITY OF SERVICE; SERVERS; SUSTAINABLE DEVELOPMENT;

BPSO; COMPUTING ENVIRONMENTS; META-HEURISTIC TECHNIQUES; MINIMIZATION PROBLEMS; OPERATIONAL CHALLENGES; REDUCING ENERGY CONSUMPTION; RESOURCE MANAGEMENT; SERVICE ALLOCATIONS;

FOG COMPUTING;

EID: 85041232849     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2018.2791619     Document Type: Article

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