x/terracotta
Code Issues Proposed changes

Updated the defaults

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Anton Beloglazov 2012-11-26 15:58:45 +11:00
parent b6f54366fe
commit 022effa50f
1 changed files with 7 additions and 7 deletions
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14
neat.conf
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@ -68,17 +68,17 @@ local_manager_interval = 300
# The time interval between subsequent invocations of the data
# collector in seconds
data_collector_interval = 60
data_collector_interval = 300
# The number of the latest data values stored locally by the data
# collector and passed to the underload / overload detection and VM
# placement algorithms
data_collector_data_length = 30
data_collector_data_length = 100
# The threshold on the overall (all cores) utilization of the physical
# CPU of a host, above which the host is considered to be overloaded.
# This is used for logging host overloads into the database.
host_cpu_overload_threshold = 0.95
host_cpu_overload_threshold = 0.8
# The threshold on the overall (all cores) utilization of the physical
# CPU of a host that can be allocated to VMs.
@ -115,15 +115,15 @@ algorithm_underload_detection_parameters = {"threshold": 0.5, "n": 2}
# The fully qualified name of a Python factory function that returns a
# function implementing an overload detection algorithm
#algorithm_overload_detection_factory = neat.locals.overload.trivial.threshold_factory
#algorithm_overload_detection_factory = neat.locals.overload.mhod.core.mhod_factory
algorithm_overload_detection_factory = neat.locals.overload.trivial.last_n_average_threshold_factory
algorithm_overload_detection_factory = neat.locals.overload.mhod.core.mhod_factory
#algorithm_overload_detection_factory = neat.locals.overload.trivial.last_n_average_threshold_factory
#algorithm_overload_detection_factory = neat.locals.overload.statistics.loess_factory
# A JSON encoded parameters, which will be parsed and passed to the
# specified overload detection algorithm factory
#algorithm_overload_detection_parameters = {"threshold": 0.9}
#algorithm_overload_detection_parameters = {"state_config": [0.95], "otf": 0.1, "window_sizes": [30, 40, 50, 60, 70, 80, 90, 100], "bruteforce_step": 0.2, "learning_steps": 30}
algorithm_overload_detection_parameters = {"threshold": 0.95, "n": 2}
algorithm_overload_detection_parameters = {"state_config": [0.8], "otf": 0.1, "window_sizes": [30, 40, 50, 60, 70, 80, 90, 100], "bruteforce_step": 0.2, "learning_steps": 30}
#algorithm_overload_detection_parameters = {"threshold": 0.95, "n": 2}
#algorithm_overload_detection_parameters = {"threshold": 0.8, "param": 1.0, "length": 30}
# The fully qualified name of a Python factory function that returns a