From 058cc07758ce1bebbb2c0c49e0fea108f4f87646 Mon Sep 17 00:00:00 2001 From: Klaus Ma Date: Thu, 18 Jul 2019 14:12:57 +0800 Subject: [PATCH] Added design doc from kube-batch. Signed-off-by: Klaus Ma --- docs/design/delay-pod-creation.md | 116 ++++++++++++++ docs/design/drf.md | 33 ++++ docs/design/execution-flow.md | 48 ++++++ .../{drf - fairshare.md => fairshare.md} | 0 docs/design/images/drfjobordering.png | Bin 0 -> 57634 bytes docs/design/images/gangwithdrf.png | Bin 0 -> 30796 bytes docs/design/metrics.md | 39 +++++ docs/design/node-priority.md | 18 +++ docs/design/plugin-conf.md | 79 ++++++++++ docs/design/podgroup-status.md | 144 ++++++++++++++++++ docs/design/preempt-action.md | 53 +++++++ docs/design/reclaim-action.md | 62 ++++++++ docs/design/reclaim-design.md | 31 ++++ docs/design/task-order.md | 23 +++ 14 files changed, 646 insertions(+) create mode 100644 docs/design/delay-pod-creation.md create mode 100644 docs/design/drf.md create mode 100644 docs/design/execution-flow.md rename docs/design/{drf - fairshare.md => fairshare.md} (100%) create mode 100644 docs/design/images/drfjobordering.png create mode 100644 docs/design/images/gangwithdrf.png create mode 100644 docs/design/metrics.md create mode 100644 docs/design/node-priority.md create mode 100644 docs/design/plugin-conf.md create mode 100644 docs/design/podgroup-status.md create mode 100644 docs/design/preempt-action.md create mode 100644 docs/design/reclaim-action.md create mode 100644 docs/design/reclaim-design.md create mode 100644 docs/design/task-order.md diff --git a/docs/design/delay-pod-creation.md b/docs/design/delay-pod-creation.md new file mode 100644 index 00000000000..89e6470befd --- /dev/null +++ b/docs/design/delay-pod-creation.md @@ -0,0 +1,116 @@ +# Delay Pod Creation + +@k82cn; Jan 7, 2019 + +## Table of Contents + + * [Delay Pod Creation](#delay-pod-creation) + * [Table of Contents](#table-of-contents) + * [Motivation](#motivation) + * [Function Detail](#function-detail) + * [State](#state) + * [Action](#action) + * [Admission Webhook](#admission-webhook) + * [Feature interaction](#feature-interaction) + * [Queue](#queue) + * [Quota](#quota) + * [Operator/Controller](#operatorcontroller) + * [Others](#others) + * [Compatibility](#compatibility) + * [Roadmap](#roadmap) + * [Reference](#reference) + +Created by [gh-md-toc](https://github.com/ekalinin/github-markdown-toc) + +## Motivation + +For a batch system, there're always several pending jobs because of limited resources and throughput. +Different with other kubernetes type, e.g. Deployment, DaemonSet, it's better to delay pods creation for +batch workload to reduce apiserver pressure and speed up scheduling (e.g. less pending pods to consider). +In this document, several enhancements are introduced to delay pod creation. + +## Function Detail + +### State + +A new state, named `InQueue`, will be introduced to denote the phase that jobs are ready to be allocated. +After `InQueue`, the state transform map is updated as follow. + +| From | To | Reason | +|---------------|----------------|---------| +| Pending | InQueue | When it's ready to allocate resource to job | +| InQueue | Pending | When there's not enough resources anymore | +| InQueue | Running | When every pods of `spec.minMember` are running | + +The `InQueue` is a new state between `Pending` and `Running`; and it'll let operators/controllers start to +create pods. If it meets errors, e.g. unschedulable, it rollbacks to `Pending` instead of `InQueue` to +avoid retry-loop. + +### Action + +Currently, `kube-batch` supports several actions, e.g. `allocate`, `preempt`; but all those actions are executed +based on pending pods. To support `InQueue` state, a new action, named `enqueue`, will be introduced. + +By default, `enqueue` action will handle `PodGroup`s in FCFS policy; `enqueue` will go through all PodGroup +(by creation timestamp) and update PodGroup's phase to `InQueue` if: + +* there're enough idle resources for `spec.minResources` of `PodGroup` +* there're enough quota for `spec.minResources` of `PodGroup` + +As `kube-batch` handling `PodGroup` by `spec.minResources`, the operator/controller may create more `Pod`s than +`spec.minResources`; in such case, `preempt` action will be enhanced to evict overused `PodGroup` to release +resources. + +### Admission Webhook + +To guarantee the transaction of `spec.minResources`, a new `MutatingAdmissionWebhook`, named `PodGroupMinResources`, +is introduced. `PodGroupMinResources` make sure + +* the summary of all PodGroups' `spec.minResources` in a namespace not more than `Quota` +* if resources are reserved by `spec.minResources`, the resources can not be used by others + +Generally, it's better to let total `Quota` to be more than available resources in cluster, as some pods maybe +unschedulable because of scheduler's algorithm, e.g. predicates. + +## Feature interaction + +### Queue + +The resources will be shared between `Queue`s algorithm, e.g. proportion by default. If the resources can not be +fully used because of fragment, `backfill` action will help on that. If `Queue` used more resources than its +deserved, `reclaim` action will help to balance resources. The Pod can not be evicted currently if eviction will +break `spec.minMember`; it'll be enhanced for job level eviction. + +### Quota + +To delay pod creation, both `kube-batch` and `PodGroupMinResources` will watch `ResourceQuota` to decide which +`PodGroup` should be in queue firstly. The decision maybe invalid because of race condition, e.g. other +controllers create Pods. In such case, `PodGroupMinResources` will reject `PodGroup` creation and keep `InQueue` +state until `kube-batch` transform it back to `Pending`. To avoid race condition, it's better to let `kube-batch` +manage `Pod` number and resources (e.g. CPU, memory) instead of `Quota`. + +### Operator/Controller + +The Operator/Controller should follow the above "protocol" to work together with scheduler. A new component, +named `PodGroupController`, will be introduced later to enforce this protocol if necessary. + +## Others + +### Compatibility + +To support this new feature, a new state and a new action are introduced; so when the new `enqueue` action is +disabled in the configuration, it'll keep the same behaviour as before. + +## Roadmap + +* `InQueue` phase and `enqueue` action (v0.5+) +* Admission Controller (v0.6+) + +## Reference + +* [Coscheduling](https://github.com/kubernetes/enhancements/pull/639) +* [Delay Pod creation](https://github.com/kubernetes-sigs/kube-batch/issues/539) +* [PodGroup Status](https://github.com/kubernetes-sigs/kube-batch/blob/master/doc/design/podgroup-status.md) +* [Support 'spec.TotalResources' in PodGroup](https://github.com/kubernetes-sigs/kube-batch/issues/401) +* [Dynamic Admission Control](https://kubernetes.io/docs/reference/access-authn-authz/extensible-admission-controllers/#write-an-admission-webhook-server) +* [Add support for podGroup number limits for one queue](https://github.com/kubernetes-sigs/kube-batch/issues/452) diff --git a/docs/design/drf.md b/docs/design/drf.md new file mode 100644 index 00000000000..010d0a61c8f --- /dev/null +++ b/docs/design/drf.md @@ -0,0 +1,33 @@ +## Dominant Resource Fairness (DRF) + +## Introduction +Dominant Resource Fairness (DRF), a generalization of max-min fairness to multiple resource types is a resource allocation policy that handles multiple resource types. + +Dominant resource - a resource of specific type (cpu, memory, gpu) which is most demanded by given job among other resources it needs. This resource is identified as a share of the total cluster resources of the same type. + +DRF computes the share of dominant resource allocated to a job (dominant share) and tries to maximize the smallest dominant share in the system. +Schedule the task of the job with smallest dominant resource + + +## Kube-Batch Implementation +DRF calculate shares for each job. The share is the highest value of ratio of the (allocated resource/Total Resource) of the three resource types CPU, Memory and GPU. +This share value is used for job ordering and task premption. + +#### 1. Job Ordering: + The job having the lowest share will have higher priority. + In the example below all the tasks task1, task2 of job1 and task3 and task4 of job2 is already allocated to the cluster. + ![drfjobordering](./images/drfjobordering.png) + + + ##### 1.1 Gang Scheduling with DRF in job ordering ( Gang -> DRF) + Gang scheduling sorts the job based on whether the job has atleast **minAvailable** task already (allocated + successfully completed + pipelined) or not. + Jobs which has not met the minAvailable criteria has higher priority than jobs which has met + the minAvailable criteria. + + For the jobs which has met the minAvailable criteria will be sorted according to DRF. + + ![gangwithdrf](./images/gangwithdrf.png) + +#### 2. Task Preemption: + +The preemptor can only preempt other tasks only if the share of the preemptor is less than the share of the preemptee after recalculating the resource allocation of the premptor and preemptee. diff --git a/docs/design/execution-flow.md b/docs/design/execution-flow.md new file mode 100644 index 00000000000..8cb4331581d --- /dev/null +++ b/docs/design/execution-flow.md @@ -0,0 +1,48 @@ +## Execution of the Scheduler for Allocating the Workloads to Node + +The Allocation of the workloads to the node in scheduler happens in each session and the workflow of the session is illustrated in the below diagram. + +1. Session Opens every 1 sec +2. In very session local copies of Queues, JobsMap, PendingTasks and Node List is created. +3. For Each Jobs in the Session + 1. If the Queued ID in the Job exists in the Local Copy of Queues then : + 1. Add the Queue in the Local Copy of Queues + 1. If the QueueID exists in local copyof JobsMap: + 1. Push the Job in the JobsMap + 2. If Not then Add the QueueID as the key in Local JobsMap and add the job in the Map. + 2. If Not then Give warning and continue to Step 3 +4. For Each Item in Local Queues + 1. Pop an Queue from the Queues + 1. Check if Queue is overused + 1. If Yes then Continue to Step 4 + 2. If Not then get the list of JobsList from the JobsMap for the particular Queue. + 1. If List is empty then continue to Step 4 + 2. If Yes then Pop a Job from the JobsList + 1. If Job exits the Local PendingTasks + 1. If Not then : + 1. Create a Local Task List + 1. Get the List of Each Tasks in the pending state for that job + 1. If the required resource for the job is Empty then go back to previous step + 2. If Not then Add the tasks in the Local TasksList + 2. Add the local Tasks List to PendingTasks for that Job + 2. If Yes then : + 1. For each Tasks from the pendingTasksList for the Job. + 1. Pop the tasks + 2. Get the list of predicate nodes for the task. + 3. Score the predicate nodes and sort it. + 4. For each node in the sorted predicated + scored nodes + 1. If the Resource required by task is less than Idle resource of Nodes + 1. If Resource required by task is less than releasing resource of Node + 1. Then Add the tasks in Pipeline + 3. Check if Job is ready to be allocated + 1. If yes the push the Job + 2. If No then add the Queue back to the list. + 3. Continue till all the Job is ready + 2. Continue till each Queue is processed. + + + + + + +![Execution flow graph](../../images/AllocateDesign.png) diff --git a/docs/design/drf - fairshare.md b/docs/design/fairshare.md similarity index 100% rename from docs/design/drf - fairshare.md rename to docs/design/fairshare.md diff --git a/docs/design/images/drfjobordering.png b/docs/design/images/drfjobordering.png new file mode 100644 index 0000000000000000000000000000000000000000..24340cb7d022ef890b02111dc170601d3c9b6150 GIT binary patch literal 57634 zcmeFZcT`l_x-W`?Qh>w)QOQLXC8*>m6cQ8=P{|-cl$?_!$yMYiN)!YoC&@X9faD}O zM?-(^w;6m27#Oq|GRTL|9JQC@aVnqp9-Yxhc(EFhhKB}5(Y<27=hOC# zMUsxehY7#w8Y@mW!_9k-eMx0gL!YoJCnGkaSY;oa=&bD=B_5S)?TtF`7Icg)By6eW z{&M9WElMa#*i&D~>U_KVZExJ5!55$6i6j>qw;?_%+UP0Hh`+$6h1O!Pm0q{KWm z@E-odUlhaYkrwk546=Ns{!f3(P+D~LpFc4Oi=ng^rt(GdAFl&G&g7r|`~Q5L7+9zO zhP4x(G%sjjqR#F^Vj*d@uy{-dL)m)^*e)Yzp`Wvl@32a+#j#3w90@Ir5tofGxNZ+pEb+$!k0`bC9p>>8+_>;lW3Rn;UziY~OqUOZzTjlF 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