Hi All, After revisiting the spec [1] again and again, I got to know few points please check and let me know about my understanding: Understanding: If the ``vcpu_pin_set`` is set on compute node A in the Stein release then we can say that this node is used to host the dedicated instance on it and if user upgrades from Stein to Train and if operator doesn’t define ``[compute] cpu_dedicated_set`` set then simply fallback to ``vcpu_pin_set`` and report it as PCPU inventory. Considering multiple combinations of various configuration options, I think we will need to implement below business rules so that the issue highlighted in the previous email about the scheduler pre-filter can be solved. Rule 1: If operator sets ``[compute] cpu_shared_set`` in Train. 1.If pinned instances are found then we can simply say that this compute node is used as dedicated in the previous release so raise an error that says to set ``[compute] cpu_dedicated_set`` config option otherwise report it as VCPU inventory. Rule 2: If operator sets ``[compute] cpu_dedicated_set`` in Train. 1. Report inventory as PCPU 2. If instances are found, check for host numa topology pinned_cpus, if pinned_cpus is not empty, that means this compute node is used as dedicated in the previous release and if empty, then raise an error that this compute node is used as shared compute node in previous release. Rule 3: If operator sets None of the options (``[compute] cpu_dedicated_set``, ``[compute] cpu_shared_set``, ``vcpu_pin_set``) in Train. 1. If instances are found, check for host numa topology pinned_cpus, if pinned_cpus is not empty, then raise an error that this compute node is used as dedicated compute node in previous release so set ``[compute] cpu_dedicated_set``, otherwise report inventory as VCPU. 2. If no instances, report inventory as VCPU. Rule 4: If operator sets ``vcpu_pin_set`` config option in Train. 1. If instances are found, check for host numa topology pinned_cpus, if pinned_cpus is empty, that means this compute node is used for non-pinned instances in the previous release, so raise an error otherwise report it as PCPU inventory. 2. If no instances, report inventory as PCPU. Rule 5: If operator sets ``vcpu_pin_set`` and ``[compute] cpu_dedicated_set`` or ``[compute] cpu_shared_set`` config options in Train 1. Simply raise an error Above business rules 3 and 4 are very important in order to solve the scheduler pre-filter issue highlighted in my previous email. As of today, in either case, `vcpu_pin_set`` is set or not set on the compute node, it can used for both pinned or non-pinned instances depending on whether this host belongs to an aggregate with “pinned” metadata. But as per business rule #3 , if ``vcpu_pin_set`` is not set, we are considering it to be used for non-pinned instances only. Do you think this could cause an issue in providing backward compatibility? Please provide your suggestions on the above business rules. [1]: https://review.opendev.org/#/c/555081/28/specs/train/approved/cpu-resources.... Thanks and Regards, -Bhagyashri Shewale- ________________________________ From: Shewale, Bhagyashri Sent: Wednesday, June 12, 2019 6:10:04 PM To: openstack-discuss@lists.openstack.org; openstack@fried.cc; smooney@redhat.com; sfinucan@redhat.com; jaypipes@gmail.com Subject: [nova] Spec: Standardize CPU resource tracking Hi All, Currently I am working on implementation of cpu pinning upgrade part as mentioned in the spec [1]. While implementing the scheduler pre-filter as mentioned in [1], I have encountered one big issue: Proposed change in spec: In scheduler pre-filter we are going to alias request_spec.flavor.extra_spec and request_spec.image.properties form ``hw:cpu_policy`` to ``resources=(V|P)CPU:${flavor.vcpus}`` of existing instances. So when user will create a new instance or execute instance actions like shelve, unshelve, resize, evacuate and migration post upgrade it will go through scheduler pre-filter which will set alias for `hw:cpu_policy` in request_spec flavor ``extra specs`` and image metadata properties. In below particular case, it won’t work:- For example: I have two compute nodes say A and B: On Stein: Compute node A configurations: vcpu_pin_set=0-3 (used as dedicated CPU, This host is added in aggregate which has “pinned” metadata) Compute node B Configuration: vcpu_pin_set=0-3 (used as dedicated CPU, This host is added in aggregate which has “pinned” metadata) On Train, two possible scenarios: Compute node A configurations: (Consider the new cpu pinning implementation is merged into Train) vcpu_pin_set=0-3 (Keep same settings as in Stein) Compute node B Configuration: (Consider the new cpu pinning implementation is merged into Train) cpu_dedicated_set=0-3 (change to the new config option) 1. Consider that one instance say `test ` is created using flavor having old extra specs (hw:cpu_policy=dedicated, "aggregate_instance_extra_specs:pinned": "true") in Stein release and now upgraded Nova to Train with the above configuration. 2. Now when user will perform instance action say shelve/unshelve scheduler pre-filter will change the request_spec flavor extra spec from ``hw:cpu_policy`` to ``resources=PCPU:$<no. of cpus>`` which ultimately will return only compute node B from placement service. Here, we expect it should have retuned both Compute A and Compute B. 3. If user creates a new instance using old extra specs (hw:cpu_policy=dedicated, "aggregate_instance_extra_specs:pinned": "true") on Train release with the above configuration then it will return only compute node B from placement service where as it should have returned both compute Node A and B. Problem: As Compute node A is still configured to be used to boot instances with dedicated CPUs same behavior as Stein, it will not be returned by placement service due to the changes in the scheduler pre-filter logic. Propose changes: Earlier in the spec [2]: The online data migration was proposed to change flavor extra specs and image metadata properties of request_spec and instance object. Based on the instance host, we can get the NumaTopology of the host which will contain the new configuration options set on the compute host. Based on the NumaTopology of host, we can change instance and request_spec flavor extra specs. 1. Remove cpu_policy from extra specs 2. Add “resources:PCPU=<count>” in extra specs We can also change the flavor extra specs and image metadata properties of instance and request_spec object using the reshape functionality. Please give us your feedback on the proposed solution so that we can update specs accordingly. [1]: https://review.opendev.org/#/c/555081/28/specs/train/approved/cpu-resources.... [2]: https://review.opendev.org/#/c/555081/23..28/specs/train/approved/cpu-resour... 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