print(battery.battery_failed)
while battery.battery_failed:
failed_task = battery.failed_task
failed_task.ScaleDown()
tasks.calculate_runtime()
consumption = battery.tasks_consumption(38, tasks)
plot_consumption(battery, tasks)
### Phase 2
# Overall planning strategy to scale down based on maximum slack time
slack_times = {}
for task in task_list:
if task.slack > 0:
slack_times[task] = task.slack
print(f'Task {task} with slack time {task.slack}')
while slack_times:
max_slack_task = max(slack_times.items(), key=operator.itemgetter(1))[0]
print(f'Task {max_slack_task} with slack time {slack_times[max_slack_task]}')
max_slack_task.ScaleDown1()
tasks.calculate_runtime()
if not tasks.check_scheduable():
print(f'Task {max_slack_task} not scheduable, deleting from task list.')
max_slack_task.ScaleUp1()
tasks.calculate_runtime()
del slack_times[max_slack_task]
plot_consumption(battery, tasks)
plot_consumption(battery, tasks)
### Phase 2
# Repeadtedly use the available slack time by scaling down speeds of tasks based on energy efficiency
# Try scale down each task and check its effectiveness.
while task_list:
effectiveness = 0
effective_task = t1
scheduable = 0
for index, task in enumerate(task_list):
c0 = battery.tasks_consumption(38, tasks)
d0 = task.duration
task.ScaleDown1()
tasks.calculate_runtime()
if tasks.check_scheduable():
scheduable = 1
# Check cost function and new duration
c1 = battery.tasks_consumption(38, tasks)
d1 = task.duration
# Check effectiveness
e = -(c1 - c0) / (d1 - d0)
if e > effectiveness:
effectiveness = e
effective_task = task
# Scale back
task.ScaleUp1()
tasks.calculate_runtime()
