def get_alloc(vms):
alloc = []
for vm in vms:
pid = vm.pid
if not pid:
continue
process = psutil.Process(pid)
p1 = max(process.threads(), key=lambda x:x[1])
cpu_thread, _, _ = max(process.threads(), key=lambda x:[1])
tidcpu = get_cur_cpu(cpu_thread)
alloc.append((vm, tidcpu))
print(vm, tidcpu)
print(alloc)
import pdb; pdb.set_trace()
def perfstat_sampling(num:int=100, interval:int=100, pause:float=0.1, delay:float=0.002, vms=None):
from perf.numa import get_cur_cpu
from perfstat import Perf
isolated = defaultdict(list)
frozen = defaultdict(list)
batch_size = 5
assert num % batch_size == 0, \
"number of samples should divide by 10, got %s" % num
iterations = num // batch_size
perfs = [Perf(cpu=get_cur_cpu(vm.pid)) for vm in vms]
for i in range(1, iterations+1):
print(i, "out of", iterations)
# frozen
for j in range(batch_size):
for vm, perf in zip(vms, perfs):
bmark = vm.bname
if pause: sleep(pause)
vm.exclusive()
sleep(delay)
stat = perf.measure(interval)
if stat[0] and stat[1]:
ipc = stat[0] / stat[1]
frozen[bmark].append(ipc)
else:
print("Perf() missed a datapoint")
vm.shared()
# isolated
for vm, perf in zip(vms, perfs):
vm.exclusive()
bmark = vm.bname
for i in range(batch_size):
if pause: sleep(pause)
stat = perf.measure(interval)
if stat[0] and stat[1]:
ipc = stat[0] / stat[1]
isolated[bmark].append(ipc)
else:
print("Perf() missed a datapoint")
vm.shared()
return Struct(isolated=isolated, frozen=frozen)