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Who When What Removed Added
Erik Erlandson 2012-02-17 17:46:25 UTC Target Milestone --- 2.2
RHEL Program Management 2012-02-24 16:31:31 UTC Flags needinfo?
RHEL Program Management 2012-02-24 16:31:33 UTC Flags needinfo?
Martin Kudlej 2012-03-08 09:33:28 UTC CC mkudlej
Timothy St. Clair 2012-03-19 14:52:07 UTC Target Milestone 2.2 3.0
Timothy St. Clair 2012-05-23 16:40:38 UTC Keywords Rebase
Erik Erlandson 2013-01-23 15:10:21 UTC Link ID Condor 3435
Matthew Farrellee 2013-01-28 20:13:02 UTC Priority low medium
Timothy St. Clair 2013-03-06 21:28:28 UTC Status ASSIGNED MODIFIED
Timothy St. Clair 2013-03-06 22:08:53 UTC Fixed In Version condor-7.8.8-0.10
Matthew Farrellee 2013-07-01 20:05:25 UTC Target Milestone 3.0 2.4
Matthew Farrellee 2013-07-01 20:13:41 UTC Priority medium high
Martin Kudlej 2013-07-18 13:13:49 UTC CC eerlands
Flags needinfo?(eerlands)
Erik Erlandson 2013-08-09 02:24:59 UTC Flags needinfo?(eerlands)
Martin Kudlej 2013-08-09 07:46:45 UTC Flags needinfo?(eerlands)
David Ryan 2013-08-09 07:50:51 UTC Blocks 995360
Erik Erlandson 2013-08-13 22:46:18 UTC Flags needinfo?(eerlands)
Erik Erlandson 2013-08-30 00:48:01 UTC Fixed In Version condor-7.8.8-0.10 condor-7.8.9-0.4
errata-xmlrpc 2013-08-30 01:22:46 UTC Status MODIFIED ON_QA
Lubos Trilety 2013-09-03 11:55:19 UTC CC ltrilety
QA Contact mrgqe-bugs ltrilety
Erik Erlandson 2013-09-03 22:07:24 UTC Doc Text Feature:
Support for configurable Consumption Policies on partitionable slots, such that the quantity of each resource asset (e.g. cpus, memory, disk) consumed by a match is determined by evaluating a configurable expression on the slot -- usually some function of the amount requested by the matching job.

Reason:
Consumption Policies allow a partitionable slot to emulate different resource allocation behaviors depending on the use cases of the customer. They also enable the negotiator to make multiple matches against each partitionable slot per negotiation cycle. This provides improved performance and better use of resources.

Result (if any):
Examples of possible behaviors include emulation of static slots, support for sub-core job loads or memory-centric allocation policies (as contrasted with legacy cpu-centric policies). Each execute node on an HTCondor pool can be configured with one or more consumption policies, allowing heterogeneous resource allocation strategies on a single pool.
Doc Type Rebase: Bug Fixes and Enhancements Enhancement
Lubos Trilety 2013-09-09 13:58:18 UTC Status ON_QA ASSIGNED
Doc Type Enhancement Rebase: Bug Fixes and Enhancements
Red Hat Bugzilla 2013-09-09 13:58:18 UTC Doc Type Rebase: Bug Fixes and Enhancements Enhancement
Erik Erlandson 2013-09-19 17:54:09 UTC Fixed In Version condor-7.8.9-0.4 condor-7.8.9-0.5
Erik Erlandson 2013-09-19 17:54:26 UTC Status ASSIGNED MODIFIED
Lubos Trilety 2013-09-20 12:50:23 UTC Status MODIFIED ASSIGNED
Erik Erlandson 2013-09-20 20:17:07 UTC Status ASSIGNED ON_QA
Lubos Trilety 2013-09-24 05:43:21 UTC Flags needinfo?(eerlands)
Lubos Trilety 2013-09-24 13:09:44 UTC Status ON_QA ASSIGNED
Erik Erlandson 2013-09-24 15:14:29 UTC Flags needinfo?(eerlands)
Erik Erlandson 2013-09-24 18:34:46 UTC Status ASSIGNED ON_QA
Lubos Trilety 2013-09-25 08:29:12 UTC Status ON_QA VERIFIED
David Ryan 2013-09-27 03:15:49 UTC CC dryan
Doc Text Feature:
Support for configurable Consumption Policies on partitionable slots, such that the quantity of each resource asset (e.g. cpus, memory, disk) consumed by a match is determined by evaluating a configurable expression on the slot -- usually some function of the amount requested by the matching job.

Reason:
Consumption Policies allow a partitionable slot to emulate different resource allocation behaviors depending on the use cases of the customer. They also enable the negotiator to make multiple matches against each partitionable slot per negotiation cycle. This provides improved performance and better use of resources.

Result (if any):
Examples of possible behaviors include emulation of static slots, support for sub-core job loads or memory-centric allocation policies (as contrasted with legacy cpu-centric policies). Each execute node on an HTCondor pool can be configured with one or more consumption policies, allowing heterogeneous resource allocation strategies on a single pool.
This release introduces support for configurable consumption policies on partitionable slots, such that the quantity of each resource asset (e.g. cpus, memory, disk) that is consumed by a match is determined by evaluating a configurable expression on the slot. Usually some function of the amount requested by the matching job.

These consumption policies allow a partitionable slot to emulate different resource allocation behaviors depending on the use cases of the customer. They also enable the negotiator to make multiple matches against each partitionable slot per negotiation cycle, providing improved performance and the better use of resources.

This results in possible behaviors such as the emulation of static slots, the support for sub-core job loads, or memory-centric allocation policies rather than legacy cpu-centric ones. Each execute node on an HTCondor pool can be configured with one or more consumption policies, allowing heterogeneous resource allocation strategies on a single pool.
errata-xmlrpc 2013-10-01 09:26:33 UTC Status VERIFIED RELEASE_PENDING
errata-xmlrpc 2013-10-01 16:50:54 UTC Status RELEASE_PENDING CLOSED
Resolution --- ERRATA
Last Closed 2013-10-01 12:50:54 UTC

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