Difference between revisions of "ARC HTCondor Accounting"
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This page explains how APEL accounting is done at the RAL Tier-1. | This page explains how APEL accounting is done at the RAL Tier-1. | ||
+ | |||
+ | The HTCondor configuration on the worker nodes includes the following: | ||
+ | RalScaling = 2.14 | ||
+ | STARTD_ATTRS = $(STARTD_ATTRS) RalScaling | ||
+ | Here ''RalScaling'' is a scaling factor used to normalize the CPU benchmarks. | ||
+ | |||
+ | The HTCondor configuration on the ARC CEs contains | ||
+ | |||
+ | # CPU benchmark scaling factor | ||
+ | MachineRalScaling = "$$([ifThenElse(isUndefined(RalScaling), 1.00, RalScaling)])" | ||
+ | SUBMIT_EXPRS = $(SUBMIT_EXPRS) MachineRalScaling | ||
We include the following line in the ''[grid-manager]'' section of /etc/arc.conf: | We include the following line in the ''[grid-manager]'' section of /etc/arc.conf: |
Revision as of 11:00, 5 June 2014
This page explains how APEL accounting is done at the RAL Tier-1.
The HTCondor configuration on the worker nodes includes the following:
RalScaling = 2.14 STARTD_ATTRS = $(STARTD_ATTRS) RalScaling
Here RalScaling is a scaling factor used to normalize the CPU benchmarks.
The HTCondor configuration on the ARC CEs contains
# CPU benchmark scaling factor MachineRalScaling = "$$([ifThenElse(isUndefined(RalScaling), 1.00, RalScaling)])" SUBMIT_EXPRS = $(SUBMIT_EXPRS) MachineRalScaling
We include the following line in the [grid-manager] section of /etc/arc.conf:
authplugin="FINISHING timeout=60,onfailure=pass,onsuccess=pass /usr/local/bin/scaling_factors_plugin.py %S %C %I"
where scaling_factors_plugin.py is available here: https://gist.github.com/alahiff/3a427620e73b42d9282d#file-scaling_factors_plugin-py. This assumes that an attribute MachineRalScaling is added to each job automatically by HTCondor, corresponding to the scaling factor for each worker node.