update

src/optimizer.go

@@ -33,7 +33,7 @@ func InstanceOfOptimizer() *Optimizer {
 	return optimizerInstance
 }
 
-func (optimizer *Optimizer) feed(job string, utils []int) {
+func (optimizer *Optimizer) feed(job string, utils []UtilGPUTimeSeries) {
 	log.Info("optimizer feed")
 	log.Info(job, utils)
 
@@ -44,12 +44,11 @@ func (optimizer *Optimizer) feed(job string, utils []int) {
 	go func() {
 		str := strings.Split(job, "-")
 		if len(str) == 2 {
-			preCnt := 0
 			jobName := str[0]
 
 			sum := 0
 			for i := 0; i < len(utils); i++ {
-				sum += utils[i]
+				sum += utils[i].Util
 			}
 			sum /= len(utils)
 			if _, ok := optimizer.jobUtilsGPU[jobName]; !ok {
@@ -59,27 +58,26 @@ func (optimizer *Optimizer) feed(job string, utils []int) {
 			t.Util = (t.Version*t.Util + sum) / (t.Version + 1)
 			t.Version++
 
+			preTime := 0
 			for i := 0; i < len(utils); i++ {
-				if utils[i] > 15 {
+				if utils[i].Util > 15 {
+					preTime = utils[i].Time - utils[0].Time
 					break
 				}
-				preCnt++
 			}
 
-			postCnt := 0
+			postTime := 0
 			for i := len(utils) - 1; i >= 0; i-- {
-				if utils[i] > 15 {
+				if utils[i].Util > 15 {
+					postTime = utils[len(utils)-1].Time - utils[i].Time
 					break
 				}
-				postCnt++
 			}
 
 			if _, ok := optimizer.predicts[jobName]; !ok {
 				optimizer.predicts[jobName] = &OptimizerJobExecutionTime{}
 			}
-			postTime := postCnt * optimizer.heartbeatInterval
-			preTime := preCnt * optimizer.heartbeatInterval
-			totalTime := len(utils) * optimizer.heartbeatInterval
+			totalTime := utils[len(utils)-1].Time - utils[0].Time
 
 			predict := optimizer.predicts[jobName]
 			predict.Pre = ((predict.Pre * predict.Version) + preTime) / (predict.Version + 1)

src/resource_pool.go

@@ -34,7 +34,7 @@ type ResourcePool struct {
 
 	bindings   map[string]map[string]int
 	bindingsMu sync.Mutex
-	utils      map[string][]int
+	utils      map[string][]UtilGPUTimeSeries
 
 	TotalGPU int
 }
@@ -64,7 +64,7 @@ func (pool *ResourcePool) start() {
 	pool.versions = map[string]float64{}
 
 	pool.bindings = map[string]map[string]int{}
-	pool.utils = map[string][]int{}
+	pool.utils = map[string][]UtilGPUTimeSeries{}
 
 	pool.TotalGPU = 0
 
@@ -168,7 +168,8 @@ func (pool *ResourcePool) update(node NodeStatus) {
 		for _, gpu := range node.Status {
 			if _, ok := pool.bindings[gpu.UUID]; ok {
 				if len(pool.bindings[gpu.UUID]) == 1 {
-					pool.utils[gpu.UUID] = append(pool.utils[gpu.UUID], gpu.UtilizationGPU)
+					pool.utils[gpu.UUID] = append(pool.utils[gpu.UUID],
+						UtilGPUTimeSeries{Time: (int)(time.Now().Unix()), Util: gpu.UtilizationGPU})
 				}
 			}
 		}
@@ -279,7 +280,7 @@ func (pool *ResourcePool) attach(GPU string, job string) {
 	pool.bindings[GPU][job] = int(time.Now().Unix())
 
 	if _, ok := pool.utils[GPU]; !ok {
-		pool.utils[GPU] = []int{}
+		pool.utils[GPU] = []UtilGPUTimeSeries{}
 	}
 }
 
@@ -289,7 +290,7 @@ func (pool *ResourcePool) detach(GPU string, jobName string) {
 	if _, ok := pool.bindings[GPU]; ok {
 		if len(pool.bindings[GPU]) == 1 {
 			InstanceOfOptimizer().feed(jobName, pool.utils[GPU])
-			pool.utils[GPU] = []int{}
+			pool.utils[GPU] = []UtilGPUTimeSeries{}
 		}
 	}
 
@@ -313,6 +314,5 @@ func (pool *ResourcePool) pickNode(nodes []*NodeStatus) *NodeStatus {
 
 	/* sort */
 
-
 	return nodes[0]
 }

src/scheduler_fair.go

@@ -36,6 +36,9 @@ type SchedulerFair struct {
 
 	UsingGPU   int
 	UsingGPUMu sync.Mutex
+
+	allocatingGPU   int
+	allocatingGPUMu sync.Mutex
 }
 
 type FairJobSorter []Job
@@ -66,6 +69,7 @@ func (scheduler *SchedulerFair) Start() {
 	scheduler.enablePreScheduleRatio = 0.95
 
 	scheduler.UsingGPU = 0
+	scheduler.allocatingGPU = 0
 
 	scheduler.parallelism = 1
 
@@ -82,6 +86,7 @@ func (scheduler *SchedulerFair) Start() {
 				time.Sleep(time.Millisecond * 100)
 				continue
 			}
+
 			scheduler.schedulingJobsCnt++
 			scheduler.schedulingMu.Unlock()
 			scheduler.queueMu.Lock()
@@ -90,6 +95,24 @@ func (scheduler *SchedulerFair) Start() {
 				jm := JobManager{}
 				jm.job = scheduler.queues[queue][0]
 
+				cnt := 0
+				for _, task := range jm.job.Tasks {
+					cnt += task.NumberGPU
+				}
+				if scheduler.schedulingJobsCnt > 1 {
+					if (cnt+scheduler.allocatingGPU+1)*13 > (pool.TotalGPU-scheduler.UsingGPU)*10 {
+						scheduler.schedulingMu.Lock()
+						scheduler.schedulingJobsCnt--
+						scheduler.schedulingMu.Unlock()
+						continue
+					}
+				}
+				scheduler.allocatingGPUMu.Lock()
+				scheduler.allocatingGPU += cnt
+				scheduler.allocatingGPUMu.Unlock()
+				log.Info("allocatingGPU is ", scheduler.allocatingGPU)
+				log.Info("schedulingJobsCnt is ", scheduler.schedulingJobsCnt)
+
 				scheduler.queues[queue] = scheduler.queues[queue][1:]
 				jm.scheduler = scheduler
 				scheduler.jobs[jm.job.Name] = &jm
@@ -285,9 +308,9 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task, nodes []Node
 	if len(candidates) == 0 && len(job.Tasks) == 1 && task.NumberGPU == 1 && scheduler.enablePreSchedule {
 		estimate, valid := InstanceOfOptimizer().predictTime(job.Name)
 
-		log.Info(pool.TotalGPU)
-		log.Info(estimate, valid)
-		log.Info(scheduler.UsingGPU)
+		//log.Info(pool.TotalGPU)
+		//log.Info(estimate, valid)
+		//log.Info(scheduler.UsingGPU)
 
 		if pool.TotalGPU != 0 && float64(scheduler.UsingGPU)/float64(pool.TotalGPU) >= scheduler.enablePreScheduleRatio && valid {
 			allocationType = 3
@@ -363,6 +386,10 @@ func (scheduler *SchedulerFair) AcquireResource(job Job, task Task, nodes []Node
 		for _, t := range res.Status {
 			scheduler.Attach(t.UUID, job.Name)
 		}
+		scheduler.allocatingGPUMu.Lock()
+		scheduler.allocatingGPU -= task.NumberGPU
+		scheduler.allocatingGPUMu.Unlock()
+		log.Info("allocatingGPU is ", scheduler.allocatingGPU)
 	}
 
 	for i := range locks {

src/util.go

@@ -166,6 +166,11 @@ type MsgGroupList struct {
 	Groups []Group `json:"groups"`
 }
 
+type UtilGPUTimeSeries struct {
+	Time int `json:"time"`
+	Util int `json:"util"`
+}
+
 type OptimizerJobExecutionTime struct {
 	Pre     int `json:"pre"`
 	Post    int `json:"post"`