MIST: Fog-based data analytics scheme with cost-efficient resource provisioning for IoT crowdsensing applications

Journal of Network and Computer Applications

Volumn 82, Issue , 2017, Pages 152-165

  Arkian, Hamid Reza ^a   Diyanat, Abolfazl ^b   Pourkhalili, Atefe ^a  

^a UNIVERSITY OF GUILAN   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Crowdsensing; Fog computing; Internet of things (IoT); Optimization; Resource allocation

Indexed keywords

AUTOMATION; BIG DATA; CLOUD COMPUTING; COSTS; DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; FOG; HUMAN COMPUTER INTERACTION; INFORMATION SERVICES; INTEGER PROGRAMMING; INTELLIGENT BUILDINGS; NONLINEAR PROGRAMMING; OPTIMIZATION; RESOURCE ALLOCATION; VIRTUAL MACHINE;

COMPREHENSIVE EVALUATION; COMPUTATIONAL RESOURCES; CROWDSENSING; DISTRIBUTED DATA ANALYTICS; INTERNET OF THINGS (IOT); MIXED INTEGER LINEAR PROGRAM; MIXEDINTEGER NON-LINEAR PROGRAM (MINLP); VIRTUAL MACHINE PLACEMENTS;

INTERNET OF THINGS;

EID: 85011710636     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2017.01.012     Document Type: Article

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