Sycnrhonized operations that change the value of the cluster wide cap. Added cleverRecap(...) that determines the recap value of the cluster at a much finer level, taking into account the average load on each node in the cluster. Bug fix in cap.go -- closed the session once capping had been done. This prevented from running out of file descriptors.
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parent
e562df0f5c
commit
3f90ccfe74
4 changed files with 194 additions and 68 deletions
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@ -16,6 +16,7 @@ import (
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"container/list"
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"errors"
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"github.com/montanaflynn/stats"
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"log"
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"sort"
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)
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@ -110,6 +111,68 @@ func (capper clusterwideCapper) get_cap(running_average_to_total_power_percentag
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return 100.0
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}
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/*
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Recapping the entire cluster. Also, removing the finished task from the list of running tasks.
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We would, at this point, have a better knowledge about the state of the cluster.
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1. Calculate the total allocated watts per node in the cluster.
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2. Compute the ratio of the total watts usage per node to the total power for that node.
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This would give us the load on that node.
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3. Now, compute the average load across all the nodes in the cluster.
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This would be the cap value.
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*/
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func (capper clusterwideCapper) cleverRecap(total_power map[string]float64,
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task_monitor map[string][]def.Task, finished_taskId string) (float64, error) {
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// Validation
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if total_power == nil || task_monitor == nil {
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return 100.0, errors.New("Invalid argument: total_power, task_monitor")
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}
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// watts usage on each node in the cluster.
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watts_usages := make(map[string][]float64)
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host_of_finished_task := ""
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index_of_finished_task := -1
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for _, host := range constants.Hosts {
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watts_usages[host] = []float64{0.0}
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}
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for host, tasks := range task_monitor {
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for i, task := range tasks {
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if task.TaskID == finished_taskId {
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host_of_finished_task = host
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index_of_finished_task = i
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// Not considering this task
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continue
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}
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watts_usages[host] = append(watts_usages[host], float64(task.Watts) * constants.Cap_margin)
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}
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}
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// Updating task monitor
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if host_of_finished_task != "" && index_of_finished_task != -1 {
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log.Printf("Removing task with task [%s] from the list of running tasks\n",
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task_monitor[host_of_finished_task][index_of_finished_task].TaskID)
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task_monitor[host_of_finished_task] = append(task_monitor[host_of_finished_task][:index_of_finished_task],
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task_monitor[host_of_finished_task][index_of_finished_task+1:]...)
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}
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// load on each node in the cluster.
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loads := []float64{}
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for host, usages := range watts_usages {
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total_usage := 0.0
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for _, usage := range usages {
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total_usage += usage
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}
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loads = append(loads, total_usage / total_power[host])
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}
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// Now need to compute the average load.
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total_load := 0.0
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for _, load := range loads {
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total_load += load
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}
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average_load := total_load / float64(len(loads)) // this would be the cap value.
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return average_load, nil
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}
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/*
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Recapping the entire cluster.
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@ -128,18 +191,35 @@ func (capper clusterwideCapper) recap(total_power map[string]float64,
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}
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total_allocated_power := 0.0
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total_running_tasks := 0
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for _, tasks := range task_monitor {
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index := 0
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for i, task := range tasks {
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if task.TaskID == finished_taskId {
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index = i
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continue
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}
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total_allocated_power += float64(task.Watts) * constants.Cap_margin
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total_running_tasks++
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}
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tasks = append(tasks[:index], tasks[index+1:]...)
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}
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host_of_finished_task := ""
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index_of_finished_task := -1
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for host, tasks := range task_monitor {
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for i, task := range tasks {
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if task.TaskID == finished_taskId {
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host_of_finished_task = host
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index_of_finished_task = i
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// Not considering this task for the computation of total_allocated_power and total_running_tasks
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continue
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}
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total_allocated_power += (float64(task.Watts) * constants.Cap_margin)
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total_running_tasks++
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}
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}
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// Updating task monitor
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if host_of_finished_task != "" && index_of_finished_task != -1 {
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log.Printf("Removing task with task [%s] from the list of running tasks\n",
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task_monitor[host_of_finished_task][index_of_finished_task].TaskID)
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task_monitor[host_of_finished_task] = append(task_monitor[host_of_finished_task][:index_of_finished_task],
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task_monitor[host_of_finished_task][index_of_finished_task+1:]...)
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}
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// For the last task, total_allocated_power and total_running_tasks would be 0
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if total_allocated_power == 0 && total_running_tasks == 0 {
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return 100, errors.New("No task running on the cluster.")
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}
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average := total_allocated_power / float64(total_running_tasks)
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ratios := []float64{}
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for _, tpower := range total_power {
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@ -211,7 +291,7 @@ func (capper clusterwideCapper) taskFinished(taskID string) {
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}
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}
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// Ee need to remove the task from the window.
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// we need to remove the task from the window.
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if task_to_remove, ok := task_element_to_remove.Value.(*def.Task); ok {
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capper.window_of_tasks.Remove(task_element_to_remove)
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capper.number_of_tasks_in_window -= 1
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