[config]
  ## The installation directory
  install_dir = INSTALL_DIR
  ## The type of API to call the cluster controller
  cloud_api_type = ganeti
  ## The dir that contains the credentials downloaded from Eucalyptus Web frontend
  #euca_rc_dir = /root/creds/
  ## The bucket that contains the emi to use. All dbs are installed in the /opt directory inside the image.
  bucket_name = snf-image+cassandra310
  ## The default size for instances
  instance_type = 10000_4_10000
  ## The name of the cluster
  cluster_name = thanos-ganeti
  ## The template for instance hostnames 
  hostname_template = ganeti-nodes-
  ## Are we reconfiguring an existing cluster?
  reconfigure = False
  ## Cluster type (supported types are: HBASE, HBASE92, HBASE94, CASSANDRA,CASSANDRA115,CASSANDRA223, RIAK)
  cluster_type = CASSANDRA310
  ## Temporary database location
  db_file = INSTALL_DIR/eMRE.LOGS.tiramola.db 
  #set logs folder name
  logs_folder_name = LOGS
  ##set the logging level
  logging_level=debug
  
  ##okeanos configuration
  ##Private network id (to add created VMs)
  network_id = 41098
  network_id_2 = 43308
  okeanos_compute_public_url = https://cyclades.okeanos.grnet.gr/compute/v2.0
  okeanos_token = D77IVpU4BbzO9jJXV_kdeMGo0L5FNSzc1gCQsitFWkA
  clients_bucket_name = snf-image+ycsb
  clients_instance_type = 10000_2_8000
  training_set_name = TRAINING_SET_NAME_VAR
  training_set_length = TRAINING_SET_LENGTH
  reward_function_name = REWARD_FUNCTION_NAME_VAR
  
  ## Prism executable path
  prism_file_path = PRISM_PATH_VAR
  prism_multi_file_path = PRISM_MULTI_PATH_VAR
  prism_output_folder = PRISM_OUTPUT_FOLDER
  
  ## model configuration
  max_steps = MAXSTEPS
  cumulative = CUMULATIVE
  
  ##simulation configuration
  simulation = SIMULATION_VAR
  sim_meas_count = MEAS_COUNT_VAR
  iteration = ITERATION_VAR
  sim_new_inlambda = PRODUCE_NEW_INLAMBDA_VAR
  load_meas_log = LOAD_MEAS_LOG
  sim_inlambda_file_path = LOAD_FILE_VAR
  
  
  ##elasticity configuration
  ## Starting one master and one node originally (min = 2)
  initial_cluster_size=INIT_VAR
  min_cluster_size=MIN_VAR
  ## Maximum cluster size (cost considerations) 
  max_cluster_size=MAX_VAR
  ## How many nodes to add in each add action
  add_nodes = ADD_VAR
  ## How many nodes to remove in each add action
  rem_nodes = REM_VAR
  num_of_clusters = CLUSTERS_VAR
  gain_punishment = PUNISHMENT
  weighted_reward = WEIGHTEDREWARD
  latency_threshold = LATENCY_VAR
  window_inlambda = WINDOW_VAR
  ewma_inlambda = EWMA_VAR
  violation_cluster = VIOLATIONCLUSTER
  hourly = HOURLY
  
  ##attack
  attack = ATTACK
  transient_counter_limit = TRANSIENTCOUNTER
  
  
  ##policy configuration (only one True at a time)
  ##policy type (supported types are: RL-TB, MDP-TB, MDP-EB, MDP-EBG, MDP2, MDP3)
  policy = POLICY_VAR
  
  ##policy case type (supported types are: NOPROB, PROB, RF, RAF)
  policy_case = POLICYCASE
  accepted_percentage = ACCEPTANCEPERC
  
  spot_prices_db = SPOTPRICEDB
  
  ########## BASED ON LAMBDA AND LATENCY ################
  ## Average max throughput per server
  serv_throughput = SERVER_THROUGHPUT_VAR
  ## Cost function that provides the state transition cost for the FSMDecisionMaker
  #trans_cost = 1
  ## The gain function of staying at a particular state. This in essense is a rate.
  #gain =  max(0,((  min( max_throughput, inlambda) - max(0, (latency-2000)/1000.0)*max_throughput ) * 0.002 ) - (num_nodes * 0.4) )
  ## Rigged gain for rebalancing
  ## Force add nodes
  #gain =   num_nodes
  ## Force remove nodes
  #gain =   -1 * num_nodes
  
  ######### BASED ON PERFORMANCE ###############
  #gain=throughput/num_nodes
  #gain=1.0/num_nodes
  gain=GAIN_VAR
  trans_cost = 0
  
  ########## BASED ON "r3(s)=B×thr−C×|VMs|^2" of Tirmaola_Socc2012_submission ################
  #gain = 0.01*throughput
  #trans_cost = 0.2*(num_nodes*num_nodes)
  
  ########## BASED ON CPU ONLY ################
  ## Cost function that provides the state transition cost for the FSMDecisionMaker
  #trans_cost = ((max_throughput * 0.0001) - (added_nodes * cpu))
  ## The gain function of staying at a particular state. This in essense is a rate.
  #gain = ((num_nodes * cpu ) - (num_nodes * 40))
  
  ########## BASED ON LATENCY ################
  ## Cost function that provides the state transition cost for the FSMDecisionMaker
  #trans_cost =   ((max_throughput * 0.002 * 0.9) + (added_nodes * 10000 * 0.002))
  ## The gain function of staying at a particular state. This in essense is a rate.
  #gain = ((max_throughput * 0.002) - (num_nodes * 400) + (latency * max_throughput * 0.01))
  
  [thresholds_add]
  ## Add the thresholds that the Coordinator will monitor and decide whether to add/remove nodes.
  ## The metrics that follow provide example setup.
  #mem_free = low_1000000
  #disk_free = low_%10
  #load_five = high_0.4
  #cpu_idle = low_60
  #cpu_wio = low_5
  #load_five = high_10
  
  [thresholds_remove]
  #mem_free = high_11000000
  #load_five = low_1
  #cpu_idle = high_85
  #load_five = low_0