A dynamic multi-objective optimization framework for selecting distributed deployments in a heterogeneous environment

Procedia Computer Science

Volumn 4, Issue , 2011, Pages 166-175

  Vinek, Elisabeth ^a   Beran, Peter Paul ^b   Schikuta, Erich ^b  

^a CERN   (Switzerland)

^b UNIVERSITY OF VIENNA   (Austria)

Author keywords

Genetic algorithm; Multi objective optimization; Service selection

Indexed keywords

DATA-INTENSIVE APPLICATION; DISTRIBUTED DEPLOYMENT; DISTRIBUTED SYSTEMS; DYNAMIC ASPECTS; DYNAMIC MULTIOBJECTIVE OPTIMIZATION; FORMAL MODEL; GENERIC MODELS; HETEROGENEOUS ENVIRONMENTS; INDIVIDUAL COMPONENTS; MULTI OBJECTIVE; NON FUNCTIONAL PROPERTIES; OPTIMIZATION PROBLEMS; SELECTION PROCESS; SERVICE SELECTION; UNDERLYING SYSTEMS;

DISTRIBUTED COMPUTER SYSTEMS; GENETIC ALGORITHMS; HIGH ENERGY PHYSICS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79958268734     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2011.04.018     Document Type: Conference Paper

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