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config.yml.example
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config.yml.example
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postgresql:
host: green-coding-postgres-container
user: postgres
dbname: green-coding
password: PLEASE_CHANGE_THIS
port: 9573
redis:
host: green-coding-redis-container
smtp:
server: SMTP_SERVER
sender: SMTP_SENDER
port: SMTP_PORT
password: SMTP_AUTH_PW
user: SMTP_AUTH_USER
admin:
# This address will get an email, for notifications in the system like an added job through the interface
notification_email: False
# Takes a file path to log all the errors to it. This is disabled if False
error_file: False
# Sends an error notification also via email. This is disabled if False
error_email: False
# This email will always get a copy of email sent which is not already the receipient, even for user-only mails like the "Your report is ready" mail.
email_bcc: False
cluster:
api_url: __API_URL__
metrics_url: __METRICS_URL__
client:
sleep_time_no_job: 300
jobs_processing: "random"
time_between_control_workload_validations: 21600
send_control_workload_status_mail: False
shutdown_on_job_no: False
control_workload:
name: "Measurement control Workload"
uri: "https://github.com/green-coding-berlin/measurement-control-workload"
filename: "usage_scenario.yml"
branch: "event-bound"
comparison_window: 5
threshold: 0.01
phase: "004_[RUNTIME]"
metrics:
- "psu_energy_ac_mcp_machine"
- "psu_power_ac_mcp_machine"
- "cpu_power_rapl_msr_component"
- "cpu_energy_rapl_msr_component"
machine:
id: 1
description: "Development machine for testing"
base_temperature_value: False
base_temperature_chip: False
base_temperature_feature: False
measurement:
system_check_threshold: 3 # Can be 1=INFO, 2=WARN or 3=ERROR
idle-time-start: 10
idle-time-end: 5
flow-process-runtime: 3800
phase-transition-time: 1
boot:
wait_time_dependencies: 60
metric-providers:
# Please select the needed providers according to the working ones on your system
# More info https://docs.green-coding.io/docs/measuring/metric-providers
# Please activate and deactivate any provider in this list by uncommenting it.
# Keep in mind that some reporters need separate installation steps to be found @
# https://docs.green-coding.io/docs/installation/installation-overview/
# You can ignore any line that starts with #---
#--- Architecture - Linux Only
linux:
#--- Always-On - We recommend these providers to be always enabled
cpu.utilization.procfs.system.provider.CpuUtilizationProcfsSystemProvider:
resolution: 99
#--- CGroupV2 - Turn these on if you have CGroupsV2 working on your machine
cpu.utilization.cgroup.container.provider.CpuUtilizationCgroupContainerProvider:
resolution: 99
memory.total.cgroup.container.provider.MemoryTotalCgroupContainerProvider:
resolution: 99
network.io.cgroup.container.provider.NetworkIoCgroupContainerProvider:
resolution: 99
#--- RAPL - Only enable these if you have RAPL enabled on your machine
# cpu.energy.rapl.msr.component.provider.CpuEnergyRaplMsrComponentProvider:
# resolution: 99
# memory.energy.rapl.msr.component.provider.MemoryEnergyRaplMsrComponentProvider:
# resolution: 99
#--- Machine Energy - These providers need special hardware / lab equipment to work
# psu.energy.ac.gude.machine.provider.PsuEnergyAcGudeMachineProvider:
# resolution: 99
# psu.energy.ac.powerspy2.machine.provider.PsuEnergyAcPowerspy2MachineProvider:
# resolution: 250
# psu.energy.ac.mcp.machine.provider.PsuEnergyAcMcpMachineProvider:
# resolution: 99
# psu.energy.ac.ipmi.machine.provider.PsuEnergyAcIpmiMachineProvider:
# resolution: 99
# psu.energy.dc.rapl.msr.machine.provider.PsuEnergyDcRaplMsrMachineProvider:
# resolution: 99
#--- GPU - Only enable these if you have GPUs with power measurement enabled in your machine
# gpu.energy.nvidia.smi.component.provider.GpuEnergyNvidiaSmiComponentProvider:
# resolution: 99
#--- Sensors - these providers need the lm-sensors package installed
# lm_sensors.temperature.component.provider.LmSensorsTemperatureComponentProvider:
# resolution: 99
# Please change these values according to the names in '$ sensors'
# chips: ['thinkpad-isa-0000', 'coretemp-isa-0000']
# features: ['CPU', 'Package id 0', 'Core 0', 'Core 1', 'Core 2', 'Core 3']
# lm_sensors.fan.component.provider.LmSensorsFanComponentProvider:
# resolution: 99
# Please change these values according to the names in '$ sensors'
# chips: ['thinkpad-isa-0000']
# features: ['fan1', 'fan2']
#--- Debug - These providers should only be needed for debugging and introspection purposes
# cpu.frequency.sysfs.core.provider.CpuFrequencySysfsCoreProvider:
# resolution: 99
# cpu.time.cgroup.container.provider.CpuTimeCgroupContainerProvider:
# resolution: 99
# cpu.time.cgroup.system.provider.CpuTimeCgroupSystemProvider:
# resolution: 99
# cpu.time.procfs.system.provider.CpuTimeProcfsSystemProvider:
# resolution: 99
#--- Architecture - MacOS
macos:
#--- MacOS: On Mac you only need this provider. Please remove all others!
powermetrics.provider.PowermetricsProvider:
resolution: 99
cpu.utilization.mach.system.provider.CpuUtilizationMachSystemProvider:
resolution: 99
#--- Architecture - Common
common:
# network.connections.proxy.container.provider.NetworkConnectionsProxyContainerProvider:
## host_ip: 192.168.1.2 # This only needs to be enabled if automatic detection fails
#--- Model based - These providers estimate rather than measure. Helpful where measuring is not possible, like in VMs
# psu.energy.ac.sdia.machine.provider.PsuEnergyAcSdiaMachineProvider:
# resolution: 99
#-- This is a default configuration. Please change this to your system!
# CPUChips: 1
# TDP: 65
# psu.energy.ac.xgboost.machine.provider.PsuEnergyAcXgboostMachineProvider:
# resolution: 99
#-- This is a default configuration. Please change this to your system!
# CPUChips: 1
# HW_CPUFreq: 3200
# CPUCores: 4
# CPUThreads: 4
# TDP: 65
# HW_MemAmountGB: 16
# Hardware_Availability_Year: 2011
#--- END
sci:
# https://github.com/Green-Software-Foundation/sci/blob/main/Software_Carbon_Intensity/Software_Carbon_Intensity_Specification.md
# The values specific to the machine will be set here. The values that are specific to the
# software, like R – Functional unit, will be set in the usage_scenario.yml
# EL Expected Lifespan; the anticipated time that the equipment will be installed. Value is in years
# The number 3.5 comes from a typical developer machine (Pro Laptop - https://dataviz.boavizta.org/terminalimpact)
EL: 4
# RS Resource-share; the share of the total available resources of the hardware reserved for use by the software.
# This ratio is typically 1 with the Green Metrics Tool unless you use a custom distributed orchestrator
RS: 1
# TE Total Embodied Emissions; the sum of Life Cycle Assessment (LCA) emissions for all hardware components.
# Value is in gCO2eq
# The value has to be identified from vendor datasheets. Here are some example sources:
# https://dataviz.boavizta.org/manufacturerdata
# https://tco.exploresurface.com/sustainability/calculator
# https://www.delltechnologies.com/asset/en-us/products/servers/technical-support/Full_LCA_Dell_R740.pdf
# The default is the value for a developer machine (Pro Laptop - https://dataviz.boavizta.org/terminalimpact)
TE: 181000
# I is the Carbon Intensity at the location of this machine
# The value can either be a number in gCO2e/kWh or a carbon intensity provider that fetches this number dynamically
# https://docs.green-coding.io/docs/measuring/carbon-intensity-providers/carbon-intensity-providers-overview/
# For fixed values get the number from https://ember-climate.org/insights/research/global-electricity-review-2023/
# The number 436 that comes as default is for Germany from 2022
I: 436
#optimization:
# ignore:
# - example_optimization_test
# In order to get the carbon intensity we use electricity maps which requires a token.
# You can get this under https://api-portal.electricitymaps.com/
# This is a free service please note that you need to pay if you want to use this commercially!
#electricity_maps_token: '123'