demote_list.remove(job)
################ check step1 finished job of K80 jobs and step 2 of V100 #################
check_step1_complete(list(V100_job.values()))
check_step2_complete(list(K80_job.values()))
for gpu, job in V100_job.items():
if job not in qualified_job and job != 'idle':
if job in step1_job:
real_node, real_gpu = V100_LUT(gpu)
kill_job(real_node, job)
qualified_job.append(job)
print('job' + job + ' has been qualified for demotion')
time.sleep(3) # wait for run.sh to finish
x1, x3 = gpu_pwr.process_csv('job' + job, testcase)
x2 = 3600 / V100_epoch_time[job]
# preprocess the data
x1 = (x1 - min(x1_data)) / (max(x1_data) - min(x1_data))
x2 = (x2 - min(x2_data)) / (max(x2_data) - min(x2_data))
x3 = (x3 - min(x3_data)) / (max(x3_data) - min(x3_data))
speedup_pred = model.predict(
np.array([x1, x2, x3]).reshape((1, -1)))[0] / 100
speedup_dict[job] = speedup_pred
predict_dict[job] = speedup_pred
############### record number of newly arrived jobs ################
new_arrival = 0
index_cpy = index
while True:
if job in demote_list:
demote_list.remove(job)
################ check step1 finished job of K80 jobs and step 2 of V100 #################
check_step1_complete(list(V100_job.values()))
check_step2_complete(list(K80_job.values()))
for job in list(V100_job.values()):
if job not in qualified_job and job != 'idle':
if job in step1_job:
kill_job(V100_node, job)
qualified_job.append(job)
print('job' + job + ' has been qualified for demotion')
time.sleep(3) # wait for run.sh to finish
x1, x3 = gpu_pwr.process_csv('job' + job)
x2 = 3600 / V100_epoch_time[job]
speedup_pred = model.predict(
np.array([x1, x2, x3]).reshape((1, -1)))[0] / 100
speedup_dict[job] = speedup_pred
predict_dict[job] = speedup_pred
############### record number of newly arrived jobs ################
new_arrival = 0
index_cpy = index
while True:
time_passed = int(time.time() - queue_timer)
if index_cpy >= len(queue):
break
elif time_passed >= queue_dict[queue[index_cpy]]:
