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loadshift_process.py
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loadshift_process.py
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import sys, os
from heapq import merge
from multiprocessing import Pool
WARMUP=1e9
def readfile(f):
with open(f) as ff:
dat = ff.read().splitlines()
dat = filter(lambda d: d.startswith("Trace: "), dat)
dat = [t[len("Trace: "):].split() for t in dat]
dat = [map(float, x.split(":")) for t in dat for x in t]
x = sorted([(a,c) if c > 0 else (a, float("inf")) for a,b,c in dat if a > 1e8+WARMUP])
return x
def readdir(dirname):
files = ["{}/{}".format(dirname, f) for f in os.listdir(dirname) if f.endswith(".out")]
p = Pool()
sublists = p.map(readfile, files)
p.close()
p.join()
return merge(*sublists)
def lat(l):
PCT = 0.999
w = sorted(l)
return w[int(len(w)*PCT)-1] // 1e3
def time_downsample(pairs, ns_per_sample=10000000):
print "Sampling latency at {:,} ns intervals".format(ns_per_sample)
timestamps, latencies = zip(*pairs)
print "Datapoints:", len(timestamps)
x_out = []
y_out = []
z_out = []
PCT = 0.999
base = timestamps[0] + ns_per_sample
while len(latencies) > 1000:
print len(latencies)
# count number of points in this interval
i = 0
l = []
while i < len(timestamps) and timestamps[i] <= base:
l.append(latencies[i])
i += 1
# extract the latencies for this window
w = sorted(l)
# append timestamp, latency, throughput
x_out.append((base - ns_per_sample / 2) / 1e3) # microseconds
y_out.append(w[int(i*PCT)-1] // 1e3) # microseconds
z_out.append(1e9 * i / ns_per_sample) # pps
timestamps = timestamps[i:]
latencies = latencies[i:]
base += ns_per_sample
first_ts = x_out[0]
x_out = map(lambda a: a - first_ts, x_out)
# p = Pool()
# y_out = p.map(lat, y_out_temp)
# p.close()
# p.join()
return x_out, y_out, z_out
def write_dat(dirn, xs, ys, zs):
system = "shenango" if "shenango" in dirn else "arachne" if "arachne" in dirn else "linux"
with open(dirn + "/microburst.dat", "w") as f:
f.write("time_us p999 tput system\n")
for x, y, z in zip(xs, ys, zs):
f.write("{} {} {} {}\n".format(x, y, z, system))
write_dat(sys.argv[1], *time_downsample(readdir(sys.argv[1])))