2020-04-12 03:14:53 +00:00
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package main
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import (
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log "github.com/sirupsen/logrus"
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"sync"
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2020-04-12 17:30:25 +00:00
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"strings"
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2020-04-12 03:14:53 +00:00
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)
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type Optimizer struct {
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scheduler Scheduler
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killedFlag bool
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2020-04-12 17:30:25 +00:00
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2020-04-30 07:50:05 +00:00
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predicts map[string]*OptimizerJobExecutionTime
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2020-04-30 05:08:08 +00:00
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2020-04-30 08:45:43 +00:00
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jobUtilsGPU map[string]*OptimizerUtilGPU
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2020-04-12 03:14:53 +00:00
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}
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var optimizerInstance *Optimizer
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var OptimizerInstanceLock sync.Mutex
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func InstanceOfOptimizer() *Optimizer {
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defer OptimizerInstanceLock.Unlock()
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OptimizerInstanceLock.Lock()
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if optimizerInstance == nil {
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optimizerInstance = &Optimizer{}
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2020-04-30 07:50:05 +00:00
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optimizerInstance.predicts = map[string]*OptimizerJobExecutionTime{}
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2020-04-30 08:45:43 +00:00
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optimizerInstance.jobUtilsGPU = map[string]*OptimizerUtilGPU{}
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2020-04-12 03:14:53 +00:00
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}
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return optimizerInstance
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}
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2020-04-12 17:30:25 +00:00
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func (optimizer *Optimizer) feed(job string, utils []int) {
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2020-04-12 03:14:53 +00:00
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log.Info("optimizer feed")
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log.Info(job, utils)
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2020-04-12 17:30:25 +00:00
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2020-04-30 05:13:38 +00:00
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if len(utils) == 0 {
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return
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}
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2020-04-12 17:30:25 +00:00
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go func() {
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str := strings.Split(job, "-")
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if len(str) == 2 {
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preCnt := 0
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2020-04-30 06:50:21 +00:00
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jobName := str[0]
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2020-04-30 05:08:08 +00:00
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sum := 0
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for i := 0; i < len(utils); i++ {
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sum += utils[i]
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}
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2020-04-30 09:11:16 +00:00
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sum /= len(utils)
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if _, ok := optimizer.jobUtilsGPU[jobName]; !ok {
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optimizer.jobUtilsGPU[jobName] = &OptimizerUtilGPU{}
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2020-04-30 05:08:08 +00:00
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}
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2020-04-30 09:11:16 +00:00
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t := optimizer.jobUtilsGPU[jobName]
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t.Util = (t.Version*t.Util + sum) / (t.Version + 1)
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t.Version++
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2020-04-30 05:08:08 +00:00
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2020-04-12 17:30:25 +00:00
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for i := 0; i < len(utils); i++ {
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if utils[i] > 15 {
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break
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}
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preCnt++
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}
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postCnt := 0
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2020-04-30 05:08:08 +00:00
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for i := len(utils) - 1; i >= 0; i-- {
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2020-04-12 17:30:25 +00:00
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if utils[i] > 15 {
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break
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}
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postCnt++
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}
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2020-04-30 07:50:05 +00:00
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if _, ok := optimizer.predicts[jobName]; !ok {
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optimizer.predicts[jobName] = &OptimizerJobExecutionTime{}
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2020-04-12 17:30:25 +00:00
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}
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2020-04-30 07:50:05 +00:00
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predict := optimizer.predicts[jobName]
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2020-04-12 17:30:25 +00:00
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predict.Pre = ((predict.Pre * predict.Version) + preCnt) / (predict.Version + 1)
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predict.Post = ((predict.Post * predict.Version) + postCnt) / (predict.Version + 1)
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predict.Total = ((predict.Total * predict.Version) + len(utils)) / (predict.Version + 1)
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2020-04-30 05:08:08 +00:00
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predict.Main = predict.Total - predict.Pre - predict.Post
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2020-04-30 08:45:43 +00:00
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if predict.Main < 0 {
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predict.Main = 0
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}
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2020-04-12 17:30:25 +00:00
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predict.Version++
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}
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}()
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2020-04-12 03:14:53 +00:00
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}
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2020-04-30 05:08:08 +00:00
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2020-04-30 06:04:40 +00:00
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func (optimizer *Optimizer) predictUtilGPU(job string) (int, bool) {
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2020-04-30 07:11:06 +00:00
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str := strings.Split(job, "-")
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if len(str) == 2 {
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jobName := str[0]
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2020-04-30 08:45:43 +00:00
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if _, ok := optimizer.jobUtilsGPU[jobName]; ok {
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return optimizer.jobUtilsGPU[jobName].Util, optimizer.jobUtilsGPU[jobName].Version >= 5
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2020-04-30 07:11:06 +00:00
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}
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2020-04-30 05:08:08 +00:00
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}
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2020-04-30 07:11:06 +00:00
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return 100, false
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2020-04-30 05:08:08 +00:00
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}
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2020-04-30 07:50:05 +00:00
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func (optimizer *Optimizer) predictTime(job string) (*OptimizerJobExecutionTime, bool) {
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2020-04-30 07:11:06 +00:00
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str := strings.Split(job, "-")
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if len(str) == 2 {
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jobName := str[0]
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if _, ok := optimizer.predicts[jobName]; ok {
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2020-04-30 08:45:43 +00:00
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return optimizer.predicts[job], optimizer.predicts[jobName].Version >= 5
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2020-04-30 07:11:06 +00:00
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}
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2020-04-30 05:08:08 +00:00
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}
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2020-04-30 07:50:05 +00:00
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return &OptimizerJobExecutionTime{}, false
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2020-04-30 05:08:08 +00:00
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}
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2020-04-30 08:11:34 +00:00
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func (optimizer *Optimizer) getAllPredicts() map[string]*OptimizerJobExecutionTime {
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return optimizer.predicts
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}
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2020-04-30 08:45:43 +00:00
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func (optimizer *Optimizer) getAllGPUUtils() map[string]*OptimizerUtilGPU {
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2020-04-30 08:11:34 +00:00
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return optimizer.jobUtilsGPU
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}
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