Modeling a set of the matchmaking alogirthms, providing statistics and data related to simulation.
Right now supporting:
- Random choise matchamaking
- FIFO matchmaking
- Skill level search matchmaking (greedy algorithm)
- Real skill level generation (Uniform and Normal distribution)
- Matchmaking skill level update (Elo)
- Run executable, the report would be generated in reports folder
- Use view.html in the main project folder to load\analyse generated report
- Check the executable help (-h flag) for the list of possible options
- ???
- PROFIT!!!
USAGE:
mmmodel [FLAGS] [OPTIONS]
FLAGS:
-h, --help Prints help information
--use_real_skill Always use real skill level as skill level of the user
-V, --version Prints version information
OPTIONS:
-a, --alg <algorithm> Algorithm type [default: rnd] [values: fifo, rnd, skill]
--continuous_play_prob <continuous_play_prob>
The probability that after a game user will join the queue [default: 0.0]
--max_game_length <max_game_length> The amount of time before user reenter queue [default: 300]
-n <name> Name of the simulation
--prefill_factor <prefill_factor>
Amount of users to be added to the team on the first run of the search algorithm [default: 0.0]
--queue_factor <queue_factor> Queue overloading factor [default: 1.0]
--rmax <real_skill_max> Maximum value of the skill level [default: 2200]
--rmin <real_skill_min> Minimum value of the skill level [default: 800]
-d, --search_delay <search_delay> Delay between searches in ticks [default: 10]
-s <skill> Default skill level assigned to the user [default: 1500]
--team_size <team_size> The size of the team [default: 5]
-t <time> A period of time to simulate in seconds [default: 86400]
-u <users_at_start> Amount of users to be generated [default: 500]
-g <users_to_gen> Amount of users to be generated [default: 500]