Package sfc_ft_c

Class GA_c

java.lang.Object

sfc_ft_c.GA_c

public class GA_c
extends java.lang.Object

Genetic Algorithm, used by PAGA for computing the fitness of candidate setups

Field Summary

Fields

Modifier and Type	Field	Description
(package private) java.util.ArrayList<java.lang.Integer>	availnodes	available nodes; nodes capable to host the minimum capacity VNF of the chain
Best_c	best	current best solution
(package private) Best_c	best2	best solution produce by supergenerations
(package private) int	chromes	GA parameters
(package private) services.VNFgraph	cnet	VNF-graph
int	cnodes	substrate nodes
(package private) Codec_c	cod	Edge Vector codec
(package private) double	crossprop	GA parameters
(package private) double	dif	population fitness range
(package private) java.util.ArrayList<int[]>	edgecharge	edge traffic load
(package private) int	generations	GA parameters
Mapping_c	m	mapping GA output
(package private) double	max	min max population fitness
(package private) int	maxnodeb	maximum node bandwidth; for FatTree it is 1Gbps
(package private) double	min	min max population fitness
(package private) double	mutprop	GA parameters
(package private) java.util.ArrayList<int[]>	nodecharge	node capacity load
(package private) double	normaliz	normalization factors for fitness function; set to 1.0 if not applicable
(package private) double	normaliz2	normalization factors for fitness function; set to 1.0 if not applicable
(package private) network.FTnetwork	pnet	substrate network
int	pnodes	VNF nodes
(package private) Mapping_c[]	pop	arrays for storing populations
(package private) Mapping_c[]	pop2	arrays for storing populations
(package private) boolean	popgenheuristic	set true to use population generation heuristic
(package private) Mapping_c[]	pops	arrays for storing populations
(package private) Mapping_c[]	pops2	arrays for storing populations
(package private) boolean	rejection	is last request rejected?
(package private) int	supergen	GA parameters

Constructor Summary

Constructors

Constructor	Description
GA_c()
GA_c(int chromes, int gnrs, int sgnrs, int cr, int mu, services.VNFgraph incnet, network.FTnetwork inpnet)	construct GA object on input of running parameters, virtual topology and substrate network

Method Summary

Modifier and Type	Method	Description
private void	crossover()	Crossover
void	genefitness(Mapping_c m)	compute fitness on given mapping
void	genfit()	compute fitness for population
void	genfit1(Mapping_c[] somepop)	compute and store fitness on chromosome
void	genpop()	determines the nodes that will be used for population generation
void	genpop2()	generates population
void	init()	initialize Genetic Algorithm
void	init2()	execute genetic procedures for current generation
private void	multymutation(int d)	multiple point Mutation
private void	mutation()	Mutation
void	printgenes()	print population
void	printparams()	print GA parameters
void	printsuper()	print super best
private void	range()	compute the range in the fitness of the population
private void	selection()	Selection
void	setparams(int chrmes, int gnrs, int sgnrs, int cr, int mu)	set GA parameters
void	superbest(int in)	save generation best solution
void	superbest2(int in)	save supergeneration best solution
void	updatebest()	update currently best mapping

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

cod

Codec_c cod

Edge Vector codec

pop

Mapping_c[] pop

arrays for storing populations

pop2

Mapping_c[] pop2

arrays for storing populations

pops

Mapping_c[] pops

arrays for storing populations

pops2

Mapping_c[] pops2

arrays for storing populations

m

public Mapping_c m

mapping GA output

cnodes

public int cnodes

substrate nodes

pnodes

public int pnodes

VNF nodes

maxnodeb

int maxnodeb

maximum node bandwidth; for FatTree it is 1Gbps

pnet

network.FTnetwork pnet

substrate network

cnet

services.VNFgraph cnet

VNF-graph

crossprop

double crossprop

GA parameters

mutprop

double mutprop

GA parameters

chromes

int chromes

GA parameters

supergen

int supergen

GA parameters

generations

int generations

GA parameters

min

double min

min max population fitness

max

double max

min max population fitness

dif

double dif

population fitness range

best

public Best_c best

current best solution

best2

Best_c best2

best solution produce by supergenerations

popgenheuristic

boolean popgenheuristic

set true to use population generation heuristic

rejection

boolean rejection

is last request rejected?

nodecharge

java.util.ArrayList<int[]> nodecharge

node capacity load

edgecharge

java.util.ArrayList<int[]> edgecharge

edge traffic load

availnodes

java.util.ArrayList<java.lang.Integer> availnodes

available nodes; nodes capable to host the minimum capacity VNF of the chain

normaliz

double normaliz

normalization factors for fitness function; set to 1.0 if not applicable

normaliz2

double normaliz2

normalization factors for fitness function; set to 1.0 if not applicable

Constructor Details

GA_c

public GA_c(int chromes,
int gnrs,
int sgnrs,
int cr,
int mu,
services.VNFgraph incnet,
network.FTnetwork inpnet)

construct GA object on input of running parameters, virtual topology and substrate network

GA_c

public GA_c()

Method Details

setparams

public void setparams(int chrmes,
int gnrs,
int sgnrs,
int cr,
int mu)

set GA parameters

printparams

public void printparams()

print GA parameters

init

public void init()

initialize Genetic Algorithm

init2

public void init2()

execute genetic procedures for current generation

updatebest

public void updatebest()

update currently best mapping

superbest

public void superbest(int in)

save generation best solution

superbest2

public void superbest2(int in)

save supergeneration best solution

range

private void range()

compute the range in the fitness of the population

selection

private void selection()

Selection

crossover

private void crossover()

Crossover

multymutation

private void multymutation(int d)

multiple point Mutation

mutation

private void mutation()

Mutation

genpop

public void genpop()

determines the nodes that will be used for population generation

genpop2

public void genpop2()

generates population

genfit

public void genfit()

compute fitness for population

genfit1

public void genfit1(Mapping_c[] somepop)

compute and store fitness on chromosome

genefitness

public void genefitness(Mapping_c m)

compute fitness on given mapping

printgenes

public void printgenes()

print population

printsuper

public void printsuper()

print super best