148 lines
6.2 KiB
Plaintext
148 lines
6.2 KiB
Plaintext
# Copyright 2012 Anton Beloglazov
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This is the default configuration file for OpenStack Neat
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[DEFAULT]
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# The directory, where log files will be created by the Neat services
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log_directory = /var/log/neat
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# The level of emitted log messages:
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# 0 -- no logging
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# 1 -- errors and warnings
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# 2 -- errors, warnings, and information messages
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# 3 -- errors, warnings, information messages, and debug messages
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log_level = 3
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# The directory, where the VM instance data are stored
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vm_instance_directory = /var/lib/nova/instances
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# The host name and credentials for connecting to the MySQL database
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# specified in the format supported by SQLAlchemy
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sql_connection = mysql://neat:neatpassword@controller/neat
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# The admin tenant name for authentication with Nova using Keystone
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os_admin_tenant_name = admin
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# The admin user name for authentication with Nova using Keystone
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os_admin_user = admin
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# The admin password for authentication with Nova using Keystone
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os_admin_password = adminpassword
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# The OpenStack authentication URL
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os_auth_url = http://controller:5000/v2.0/
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# A coma-separated list of compute host names
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compute_hosts = compute1, compute2, compute3, compute4
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# The name of the host running the global manager
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global_manager_host = controller
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# The port of the REST web service exposed by the global manager
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global_manager_port = 60080
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# The time interval between subsequent invocations of the database
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# cleaner in seconds
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db_cleaner_interval = 7200
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# The directory used by the data collector to store the data on the
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# resource usage by the VMs running on the host
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local_data_directory = /var/lib/neat
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# The time interval between subsequent invocations of the local
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# manager in seconds
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local_manager_interval = 300
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# The time interval between subsequent invocations of the data
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# collector in seconds
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data_collector_interval = 300
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# The number of the latest data values stored locally by the data
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# collector and passed to the underload / overload detection and VM
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# placement algorithms
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data_collector_data_length = 100
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# The threshold on the overall (all cores) utilization of the physical
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# CPU of a host, above which the host is considered to be overloaded.
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# This is used for logging host overloads into the database.
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host_cpu_overload_threshold = 0.8
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# The threshold on the overall (all cores) utilization of the physical
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# CPU of a host that can be allocated to VMs.
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host_cpu_usable_by_vms = 1.0
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# The user name for connecting to the compute hosts to switch them
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# into the sleep mode
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compute_user = neat
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# The password of the user account used for connecting to the compute
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# hosts to switch them into the sleep mode
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compute_password = neatpassword
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# The network bandwidth in MB/s available for VM migration
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network_migration_bandwidth = 10
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# A shell command used to switch a host into the sleep mode, the
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# compute_user must have permissions to execute this command
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sleep_command = pm-suspend
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# The network interface to send a magic packet from using ether-wake
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ether_wake_interface = eth0
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# The fully qualified name of a Python factory function that returns a
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# function implementing an underload detection algorithm
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#algorithm_underload_detection_factory = neat.locals.underload.trivial.threshold_factory
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algorithm_underload_detection_factory = neat.locals.underload.trivial.last_n_average_threshold_factory
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# A JSON encoded parameters, which will be parsed and passed to the
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# specified underload detection algorithm factory
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#algorithm_underload_detection_parameters = {"threshold": 0.3}
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algorithm_underload_detection_parameters = {"threshold": 0.5, "n": 2}
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# The fully qualified name of a Python factory function that returns a
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# function implementing an overload detection algorithm
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#algorithm_overload_detection_factory = neat.locals.overload.trivial.threshold_factory
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algorithm_overload_detection_factory = neat.locals.overload.mhod.core.mhod_factory
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#algorithm_overload_detection_factory = neat.locals.overload.trivial.last_n_average_threshold_factory
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#algorithm_overload_detection_factory = neat.locals.overload.statistics.loess_factory
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#algorithm_overload_detection_factory = neat.locals.overload.otf.otf_factory
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# A JSON encoded parameters, which will be parsed and passed to the
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# specified overload detection algorithm factory
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#algorithm_overload_detection_parameters = {"threshold": 0.9}
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algorithm_overload_detection_parameters = {"state_config": [0.8], "otf": 0.1, "history_size": 500, "window_sizes": [30, 40, 50, 60, 70, 80, 90, 100], "bruteforce_step": 0.5, "learning_steps": 10}
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#algorithm_overload_detection_parameters = {"threshold": 0.95, "n": 2}
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#algorithm_overload_detection_parameters = {"threshold": 0.8, "param": 1.0, "length": 30}
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#algorithm_overload_detection_parameters = {"otf": 0.2, "threshold": 0.8, "limit": 30}
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# The fully qualified name of a Python factory function that returns a
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# function implementing a VM selection algorithm
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#algorithm_vm_selection_factory = neat.locals.vm_selection.algorithms.minimum_migration_time_factory
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algorithm_vm_selection_factory = neat.locals.vm_selection.algorithms.minimum_migration_time_max_cpu_factory
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# A JSON encoded parameters, which will be parsed and passed to the
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# specified VM selection algorithm factory
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#algorithm_vm_selection_parameters = {}
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algorithm_vm_selection_parameters = {"last_n": 2}
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# The fully qualified name of a Python factory function that returns a
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# function implementing a VM placement algorithm
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algorithm_vm_placement_factory = neat.globals.vm_placement.bin_packing.best_fit_decreasing_factory
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# A JSON encoded parameters, which will be parsed and passed to the
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# specified VM placement algorithm factory
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algorithm_vm_placement_parameters = {"cpu_threshold": 0.8, "ram_threshold": 0.95, "last_n_vm_cpu": 2}
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