A pareto-based GA for scheduling HPC applications on distributed cloud infrastructures

Proceedings of the 2011 International Conference on High Performance Computing and Simulation, HPCS 2011

Volumn , Issue , 2011, Pages 456-462

  Kessaci, Yacine ^a   Melab, Nouredine ^a   Talbi, El Ghazali ^a  

^a INRIA   (France)

Author keywords

cloud computing; genetic algorithm; green computing; multi objective optimization; resource allocation; scheduling

Indexed keywords

COMPUTING INFRASTRUCTURES; ENERGY BILLS; GREEDY HEURISTICS; GREEN COMPUTING; HIGH-PERFORMANCE COMPUTING; MINIMIZING ENERGY; MULTI OBJECTIVE; MULTI-OBJECTIVE GENETIC ALGORITHM; REDUCING ENERGY CONSUMPTION;

CARBON DIOXIDE; COMPUTER SOFTWARE SELECTION AND EVALUATION; ELECTRIC UTILITIES; ENERGY UTILIZATION; GAS EMISSIONS; GENETIC ALGORITHMS; GREENHOUSE GASES; MULTIOBJECTIVE OPTIMIZATION; PROFITABILITY; RESOURCE ALLOCATION; SCHEDULING;

CLOUD COMPUTING;

EID: 80052999122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCSim.2011.5999860     Document Type: Conference Paper

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