Green fog computing resource allocation using joint benders decomposition, dinkelbach algorithm, and modified distributed inner convex approximation

IEEE International Conference on Communications

Volumn 2018-May, Issue , 2018, Pages

  Yu, Ye ^a,b   Bu, Xiangyuan ^a   Yang, Kai ^a   Han, Zhu ^b,c  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF HOUSTON   (United States)

^c Kyung Hee University   (South Korea)

Author keywords

Benders decomposition; Dinkelbach; Fog computing; NOVA; Resource allocation

Indexed keywords

APPROXIMATION ALGORITHMS; ENERGY EFFICIENCY; FOG; GREEN COMPUTING; INTEGER PROGRAMMING; NONLINEAR PROGRAMMING; RESOURCE ALLOCATION; STOCHASTIC PROGRAMMING;

BENDERS DECOMPOSITION; BENDERS DECOMPOSITION ALGORITHM; DINKELBACH; DISTRIBUTED SOLUTIONS; FRACTIONAL PROGRAMMING; INTEGER-NONLINEAR PROGRAMMING; NOVA; RESOURCE ALLOCATION PROBLEM;

FOG COMPUTING;

EID: 85051419216     PISSN: 15503607     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICC.2018.8422199     Document Type: Conference Paper

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