MapTaskDistrToSchedPolWhenSwitching Approved-by: Akash Kothawale <akothaw1@binghamton.edu>
122 lines
5.1 KiB
Go
122 lines
5.1 KiB
Go
package schedulers
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import (
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"bitbucket.org/sunybingcloud/electron/def"
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mesos "github.com/mesos/mesos-go/api/v0/mesosproto"
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sched "github.com/mesos/mesos-go/api/v0/scheduler"
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)
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type SchedPolicyContext interface {
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// Change the state of scheduling.
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SwitchSchedPol(s SchedPolicyState)
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}
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type SchedPolicyState interface {
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// Define the particular scheduling policy's methodology of resource offer consumption.
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ConsumeOffers(SchedPolicyContext, sched.SchedulerDriver, []*mesos.Offer)
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// Get information about the scheduling policy.
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GetInfo() (info struct {
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taskDist float64
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varCpuShare float64
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})
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// Switch scheduling policy if necessary.
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SwitchIfNecessary(SchedPolicyContext)
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}
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type baseSchedPolicyState struct {
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SchedPolicyState
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// Keep track of the number of tasks that have been scheduled.
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numTasksScheduled int
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// Distribution of tasks that the scheduling policy is most appropriate for.
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// This distribution corresponds to the ratio of low power consuming tasks to
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// high power consuming tasks.
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TaskDistribution float64 `json:"taskDist"`
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// The average variance in cpu-share per task that this scheduling policy can cause.
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// Note: This number corresponds to a given workload.
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VarianceCpuSharePerTask float64 `json:"varCpuShare"`
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}
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func (bsps *baseSchedPolicyState) SwitchIfNecessary(spc SchedPolicyContext) {
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baseSchedRef := spc.(*BaseScheduler)
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// Switching scheduling policy only if feature enabled from CLI
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if baseSchedRef.schedPolSwitchEnabled {
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// Name of the scheduling policy to switch to.
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switchToPolicyName := ""
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// Need to recompute size of the scheduling window for the next offer cycle.
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// The next scheduling policy will schedule at max schedWindowSize number of tasks.
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baseSchedRef.schedWindowSize, baseSchedRef.numTasksInSchedWindow =
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baseSchedRef.schedWindowResStrategy.Apply(func() interface{} { return baseSchedRef.tasks })
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// Determine the distribution of tasks in the new scheduling window.
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taskDist, err := def.GetTaskDistributionInWindow(baseSchedRef.schedWindowSize, baseSchedRef.tasks)
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// If no resource offers have been received yet, and
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// the name of the first scheduling policy to be deployed is provided,
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// we switch to this policy regardless of the task distribution.
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if !baseSchedRef.hasReceivedResourceOffers && (baseSchedRef.nameOfFstSchedPolToDeploy != "") {
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switchToPolicyName = baseSchedRef.nameOfFstSchedPolToDeploy
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} else if err != nil {
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// All the tasks in the window were only classified into 1 cluster.
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// Max-Min and Max-GreedyMins would work the same way as Bin-Packing for this situation.
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// So, we have 2 choices to make. First-Fit or Bin-Packing.
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// If choose Bin-Packing, then there might be a performance degradation due to increase in
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// resource contention. So, First-Fit might be a better option to cater to the worst case
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// where all the tasks are power intensive tasks.
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// TODO: Another possibility is to do the exact opposite and choose Bin-Packing.
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// TODO[2]: Determine scheduling policy based on the distribution of tasks in the whole queue.
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switchToPolicyName = bp
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} else {
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// The tasks in the scheduling window were classified into 2 clusters, meaning that there is
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// some variety in the kind of tasks.
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// We now select the scheduling policy which is most appropriate for this distribution of tasks.
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first := schedPoliciesToSwitch[0]
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last := schedPoliciesToSwitch[len(schedPoliciesToSwitch)-1]
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if taskDist < first.sp.GetInfo().taskDist {
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switchToPolicyName = first.spName
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} else if taskDist > last.sp.GetInfo().taskDist {
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switchToPolicyName = last.spName
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} else {
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low := 0
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high := len(schedPoliciesToSwitch) - 1
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for low <= high {
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mid := (low + high) / 2
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if taskDist < schedPoliciesToSwitch[mid].sp.GetInfo().taskDist {
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high = mid - 1
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} else if taskDist > schedPoliciesToSwitch[mid].sp.GetInfo().taskDist {
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low = mid + 1
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} else {
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switchToPolicyName = schedPoliciesToSwitch[mid].spName
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break
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}
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}
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// We're here if low == high+1.
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// If haven't yet found the closest match.
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if switchToPolicyName == "" {
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lowDiff := schedPoliciesToSwitch[low].sp.GetInfo().taskDist - taskDist
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highDiff := taskDist - schedPoliciesToSwitch[high].sp.GetInfo().taskDist
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if lowDiff > highDiff {
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switchToPolicyName = schedPoliciesToSwitch[high].spName
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} else if highDiff > lowDiff {
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switchToPolicyName = schedPoliciesToSwitch[low].spName
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} else {
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// index doens't matter as the values at high and low are equidistant
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// from taskDist.
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switchToPolicyName = schedPoliciesToSwitch[high].spName
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}
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}
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}
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}
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// Switching scheduling policy.
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baseSchedRef.LogSchedPolicySwitch(taskDist, switchToPolicyName, SchedPolicies[switchToPolicyName])
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baseSchedRef.SwitchSchedPol(SchedPolicies[switchToPolicyName])
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// Resetting the number of tasks scheduled.
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bsps.numTasksScheduled = 0
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}
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}
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func (bsps *baseSchedPolicyState) GetInfo() (info struct {
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taskDist float64
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varCpuShare float64
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}) {
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info.taskDist = bsps.TaskDistribution
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info.varCpuShare = bsps.VarianceCpuSharePerTask
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return info
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}
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