S-Index

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S

s - Variable in class sfc_a.GA.supergenthread
s - Variable in class sfc_b.Tuning: names of the settings and profile files
selection() - Method in class sfc_a.GA: Selection
selection() - Method in class sfc_a.GA2: Selection
selection() - Method in class sfc_b.GA_b: Selection
selection() - Method in class sfc_c.GA_c: Selection
servers - Variable in class controller.Main: network elements
servperrack - Variable in class controller.Main: servers per rack
setavcap(int, int) - Method in class sfc_a.Best: set available capacity
setavcap(int, int) - Method in class sfc_a.Mapping: set avialable capacity
setavcap(int, int) - Method in class sfc_c.Best_c: set available capacity
setavcap(int, int) - Method in class sfc_c.Mapping_c: set available capacity
setavnodes(ArrayList<Integer>) - Method in class sfc_a.GA2
setbestfitness(double) - Method in class sfc_a.Best: set best fitness
setbestfitness(double) - Method in class sfc_b.Best_b: set best fitness
setbestfitness(double) - Method in class sfc_c.Best_c: set best fitness
setbestmapping(int[]) - Method in class sfc_a.Best: set best solution mapping
setbestmapping(int[]) - Method in class sfc_c.Best_c: set best solution mapping
setbestphenotype(int[]) - Method in class sfc_b.Best_b: set best solution
setboolparams(boolean[]) - Method in class sfc_a.MainGA: set boolean parameters for using PAGA and population generation heuristic and for deleting previous stored setups in kdb
setduration(int) - Method in class sfc_a.GA: set SFC lifetime
setduration(int) - Method in class sfc_a.GA2: set SFC lifetime
setduration(int) - Method in class sfc_a.MainGA: set duration
setEVpath(String) - Method in class sfc_a.MainGA: set path to the stored VNFgraph files
setfitness(double) - Method in class sfc_a.Mapping: set fitness
setfitness(double) - Method in class sfc_b.Chromosome_b: set fitness
setfitness(double) - Method in class sfc_c.Mapping_c: set fitness
setgenes(int[]) - Method in class sfc_b.Chromosome_b: set phenotype
setiterations(int) - Method in class sfc_a.MainGA: set simulation iterations
setlastfitness(double) - Method in class sfc_a.Last: set last best fitness
setlastfitness(int) - Method in class sfc_c.Last_c: set last best fitness
setlastmapping(int[]) - Method in class sfc_a.Last: set last best mapping
setlastmapping(int[]) - Method in class sfc_c.Last_c: set last best mapping
setmapping(int[]) - Method in class sfc_a.Mapping: set mapping
setmapping(int[]) - Method in class sfc_c.Mapping_c: set mapping
setnetclasses(int) - Method in class sfc_a.MainGA: set number of netclasses
setparameters() - Method in class controller.Main: read simulation parameters from file
setparams(int, int, int, int, int) - Method in class sfc_c.GA_c: set GA parameters
setpopgenheuristic(boolean) - Method in class sfc_a.GA: set true to enable population generation heuristic, set false to disable
setpopgenheuristic(boolean) - Method in class sfc_a.GA2: set true to enable population generation heuristic, set false to disable
setprofile(File) - Method in class sfc_b.Tuning: loads profile from file
setr1r2(int, int) - Method in class sfc_a.MainGA: set parameters that determine VNFgraph filenames
setsettings(File) - Method in class sfc_b.Tuning: loads settings from file
setup - Variable in class sfc_a.GA: Running parameter setup
Setup - Class in sfc_a: setup for Genetic Algorithm
Setup(double, double, int, int, int, int, int) - Constructor for class sfc_a.Setup: construct Genetic Algorithm parameter setup
sfc_a - package sfc_a: The Genetic Algorithm that performs the SFC Embedding.
sfc_b - package sfc_b: The Parameter Adjustment Genetic Algorithm which optimizes the performance of the Embedding GA.
sfc_c - package sfc_c: This package contains the classes of a Genetic Algorithm similar to the algorithm in the package sfc_a.
shouldwait() - Method in class sfc_b.Tuning: should wait for PAGA procedure to wait?
start() - Method in class sfc_a.MainGA.tuningthread
start(int) - Method in class sfc_a.GA.supergenthread
stats() - Method in class sfc_a.Best: statistics
stats() - Method in class sfc_a.Mapping: mapping statistics
stats() - Method in class sfc_c.Best_c: statistics
stats() - Method in class sfc_c.Mapping_c: mapping statistics
strtomap(String[]) - Method in class sfc_a.Mapping: string to map
strtomap(String[]) - Method in class sfc_b.Chromosome_b: string to map
strtomap(String[]) - Method in class sfc_c.Mapping_c: string to map
superbest(int) - Method in class sfc_a.GA: save generation best solution
superbest(int) - Method in class sfc_a.GA2: save generation best solution
superbest(int) - Method in class sfc_b.GA_b: stores the best solution of the current generation for the next stage of the algorithm
superbest(int) - Method in class sfc_c.GA_c: save generation best solution
superbest2(int) - Method in class sfc_a.GA: save supergeneration best solution
superbest2(int) - Method in class sfc_a.GA2: save supergeneration best solution
superbest2(int) - Method in class sfc_b.GA_b: stores the best solution of the current generation for the next stage of the algorithm
superbest2(int) - Method in class sfc_c.GA_c: save supergeneration best solution
supergen - Variable in class sfc_a.GA: GA parameters
supergen - Variable in class sfc_a.GA2: GA parameters
supergen - Variable in class sfc_a.MainGA: Genetic Algorithm parameters
supergen - Variable in class sfc_b.GA_b: PAGA supergeneration parameter, even numbers only set supergen=1 for simple GA configuration
supergen - Variable in class sfc_c.GA_c: GA parameters
supergenerations - Variable in class sfc_b.Tuning: PAGA parameter
supergens - Variable in class controller.Main: GA parameters; populations size; supergenerations; crossover and mutation probabilities
supergens - Variable in class sfc_a.Setup: Genetic Algorithm parameter
supergenthread() - Constructor for class sfc_a.GA.supergenthread
switches - Variable in class controller.Main: network elements

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