def reset(self):
g = Generation()
self._task_list = g.generate_tasks(self._total_af * self._load_ratio)
#print 'Number of tasks:'+str(len(self._task_list))
tempP = copy.deepcopy(self._partition_list)
tempT = copy.deepcopy(self._task_list)
self._model = Model()
return self._model.reset(tempT, tempP)
ratio = []
g = Generation()
#initialize counters
for i in range(len(policies)):
schedulability.append(0)
total_jobs.append(0)
failed_jobs.append(0)
ratio.append(0)
for i in range(repeat_times):
partition_list = g.generate_partitions(sum_af)
largest_aaf = max(partition_list, key=lambda x: x.af).af
sum_aaf = 0
for p in partition_list:
sum_aaf += p.aaf
print(sum_aaf)
task_list = g.generate_tasks(load_ratio * sum_aaf, False, 0.5, 0,
largest_aaf)
for j in range(len(policies)):
temp_partition_list = copy.deepcopy(partition_list)
temp_task_list = copy.deepcopy(task_list)
temp_fail, temp_total = run_test(temp_partition_list,
temp_task_list, pcpu_num,
simulation_time, policies[j])
while temp_fail is None or temp_total is None:
#print("not schedulable")
partition_list = g.generate_partitions(sum_af)
largest_aaf = max(partition_list, key=lambda x: x.af).af
sum_aaf = 0
for p in partition_list:
sum_aaf += p.aaf
print(sum_aaf)
task_list = g.generate_tasks(load_ratio * sum_aaf, False, 0.5,
