Index
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M
- m - Variable in class sfc_a.GA
-
mapping GA output
- m - Variable in class sfc_a.GA2
-
mapping GA output
- m - Variable in class sfc_c.GA_c
-
mapping GA output
- main(String[]) - Static method in class controller.Main
- Main - Class in controller
- Main() - Constructor for class controller.Main
- MainGA - Class in sfc_a
-
determine GA parameters and initialize simulation
- MainGA(Network, Setup) - Constructor for class sfc_a.MainGA
-
initialize network object, setup database, delete old log files
- MainGA.tuningthread - Class in sfc_a
-
thread that runs tuning procedure (PAGA)
- mapping - Variable in class sfc_a.Mapping
-
stores the mapping, the value in mapping[i] is the ID of the substrate node that hosts vistrual node i
- mapping - Variable in class sfc_b.GA_b
-
mapping of parameter values to the command to OS
- mapping - Variable in class sfc_c.Mapping_c
-
stores the mapping, the value in mapping[i] is the ID of the substrate node that hosts vistrual node i
- Mapping - Class in sfc_a
-
the mapping between the VNF and the substrate network
- Mapping() - Constructor for class sfc_a.Mapping
- Mapping(double, int[]) - Constructor for class sfc_a.Mapping
-
initialize the object on given mapping and fitness
- Mapping(int) - Constructor for class sfc_a.Mapping
-
constructs empty mapping object
- Mapping(int[]) - Constructor for class sfc_a.Mapping
-
initialize the object on given mapping
- Mapping(int, int) - Constructor for class sfc_a.Mapping
-
constructs random mapping objects, no constraints are considered
- Mapping(int, ArrayList<Integer>) - Constructor for class sfc_a.Mapping
-
constructs random mapping objects using the nodes of the substrate network that have the available capacity to host the minimum demand VNF
- Mapping(String[]) - Constructor for class sfc_a.Mapping
-
initialize object on given mapping
- Mapping_c - Class in sfc_c
-
the mapping between the VNF and the substrate network
- Mapping_c() - Constructor for class sfc_c.Mapping_c
- Mapping_c(int) - Constructor for class sfc_c.Mapping_c
-
constructs empty mapping object
- Mapping_c(int[]) - Constructor for class sfc_c.Mapping_c
-
initialize the object on given mapping
- Mapping_c(int, int) - Constructor for class sfc_c.Mapping_c
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constructs random mapping objects, no constraints are considered
- Mapping_c(int, int[]) - Constructor for class sfc_c.Mapping_c
-
initialize the object on given mapping and fitness
- Mapping_c(int, ArrayList<Integer>) - Constructor for class sfc_c.Mapping_c
-
constructs random mapping objects using the nodes of the substrate network that have the available capacity to host the minimum demand VNF
- Mapping_c(String[]) - Constructor for class sfc_c.Mapping_c
-
initialize object on given mapping
- max - Variable in class sfc_a.GA
-
min max population fitness
- max - Variable in class sfc_a.GA2
-
min max population fitness
- max - Variable in class sfc_b.GA_b
-
minimum, maximum fitness
- max - Variable in class sfc_c.GA_c
-
min max population fitness
- maxnodeb - Variable in class sfc_a.GA
-
maximum node bandwidth; for FatTree it is 1Gbps
- maxnodeb - Variable in class sfc_a.GA2
-
maximum node bandwidth; for FatTree it is 1Gbps
- maxnodeb - Variable in class sfc_c.GA_c
-
maximum node bandwidth; for FatTree it is 1Gbps
- min - Variable in class sfc_a.GA
-
min max population fitness
- min - Variable in class sfc_a.GA2
-
min max population fitness
- min - Variable in class sfc_b.GA_b
-
minimum, maximum fitness
- min - Variable in class sfc_c.GA_c
-
min max population fitness
- multymutation(int) - Method in class sfc_a.GA
-
multiple point Mutation
- multymutation(int) - Method in class sfc_a.GA2
-
multiple point Mutation
- multymutation(int) - Method in class sfc_c.GA_c
-
multiple point Mutation
- mupr - Variable in class sfc_a.MainGA
-
Genetic Algorithm parameters
- mutation() - Method in class sfc_a.GA
-
Mutation
- mutation() - Method in class sfc_a.GA2
-
Mutation
- mutation() - Method in class sfc_b.GA_b
-
Mutation
- mutation() - Method in class sfc_c.GA_c
-
Mutation
- mutprob - Variable in class controller.Main
-
GA parameters; populations size; supergenerations; crossover and mutation probabilities
- mutprob - Variable in class sfc_a.Setup
-
Genetic Algorithm parameter
- mutprob - Variable in class sfc_b.GA_b
-
mutation probability
- mutprob - Variable in class sfc_b.Tuning
-
PAGA parameter
- mutprop - Variable in class sfc_a.GA
-
GA parameters
- mutprop - Variable in class sfc_a.GA2
-
GA parameters
- mutprop - Variable in class sfc_c.GA_c
-
GA parameters
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