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PerfMonAnalyzer.py
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PerfMonAnalyzer.py
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# Copyright (c) 2019 Princeton University
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from datetime import datetime, timedelta
import json
import os.path
import pandas as pd
import sys
sys.path = ["./", "../"] + sys.path
# Local
from GenConfigs import *
from Logger import ScriptLogger
logger = ScriptLogger(
loggername="workload_analyzer/perf_mon_analyzer", logfile="WA.log"
)
def ReadPQOSMSRMon(pqos_msr_mon_file):
"""
This function parses the output of the pqos-msr-mon.
"""
with open(pqos_msr_mon_file) as f:
lines = f.readlines()
records = {
"timestamp": [],
"Core": [],
"IPC": [],
"LLC Misses": [],
"LLC Util (KB)": [],
"MBL (MB/s)": [],
}
tmp_records = {
"timestamp": [],
"Core": [],
"IPC": [],
"LLC Misses": [],
"LLC Util (KB)": [],
"MBL (MB/s)": [],
}
prev_timestamp, index = None, -1
for line_index in range(len(lines)):
line = lines[line_index]
if "TIME" in line:
index += 1
timestamp = datetime.strptime(line[5:-1], "%Y-%m-%d %H:%M:%S")
if timestamp != prev_timestamp:
for key, value in tmp_records.items():
if key == "timestamp":
for i in value:
records[key] += [
prev_timestamp + timedelta(seconds=1.0 * i / index)
]
else:
records[key] += value
tmp_records = {
"timestamp": [],
"Core": [],
"IPC": [],
"LLC Misses": [],
"LLC Util (KB)": [],
"MBL (MB/s)": [],
}
index = 0
prev_timestamp = timestamp
elif "CORE" in line:
pass
else:
tmp_records["timestamp"].append(index)
separated = line.split(" ")
separated = [v for v in separated if v != ""]
tmp_records["Core"].append(int(separated[0]))
tmp_records["IPC"].append(float(separated[1]))
tmp_records["LLC Misses"].append(int(separated[2][:-1]) * 1000)
tmp_records["LLC Util (KB)"].append(float(separated[3]))
tmp_records["MBL (MB/s)"].append(float(separated[4]))
for key, value in tmp_records.items():
if key == "timestamp":
for i in value:
records[key] += [prev_timestamp + timedelta(seconds=1.0 * i / index)]
else:
records[key] += value
# return the records as Pandas dataframe
records_df = pd.DataFrame(records)
return records_df
def ReadPerfMon(perf_mon_file):
"""
This function parses the output of the Linux Perf tool.
"""
with open(perf_mon_file) as f:
lines = f.readlines()
records = {"timestamp": []} # more fields are added dynamically
for line in lines:
separated = line.split(" ")
separated = [v for v in separated if v != ""]
try:
if "counted" in separated[2]:
del separated[2]
except:
pass
if (len(separated) < 3) or (len(separated) > 4):
continue
time = float(separated[0])
field = separated[2]
try:
val = int(separated[1].replace(",", ""))
except:
val = None
try:
records[field].append(val)
except:
records[field] = [val] # first element of the list
try:
if records["timestamp"][-1] != time:
records["timestamp"].append(time)
except:
records["timestamp"].append(time) # first append
# return the records as Pandas dataframe
return pd.DataFrame(records)
def AnalyzePerfMonRecords(config_file):
"""
This function is used to analyze the performance monitoring data after conducting the test.
"""
logger.info("Started to analyze the performance monitoring records.")
try:
with open(FAAS_ROOT + "/" + config_file) as f:
workload = json.load(f)
except:
return False
records = {}
# Perf Tool
perf_mon_file = FAAS_ROOT + "/perf-mon.out"
pqos_msr_mon_file = FAAS_ROOT + "/pqos-msr-mon.out"
if not os.path.isfile(perf_mon_file):
logger.error("The perf output file missing!")
else:
records["perf_records"] = ReadPerfMon(perf_mon_file)
# PQOS Mon
if not os.path.isfile(pqos_msr_mon_file):
logger.error("The PQOS output file is missing!")
else:
records["pqos_records"] = ReadPQOSMSRMon(pqos_msr_mon_file)
return records