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process_memtier_data_baseline_nomidd_1server.py
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process_memtier_data_baseline_nomidd_1server.py
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"""
ASL project - fall 2017
author: Jovan Nikolic
Processes json log file produced by memtiers
"""
import json
import numpy as np
import csv
plots_base_name = "plots/baseline_nomidd_1server/"
file_base_name = "data/baseline_nomidd_1server/"
json_file_base_name = file_base_name + "json_output_file_"
throughput_literal = "Ops/sec"
hits_literal = "Hits/sec"
latency_literal = "Latency"
# a = ["SET"]
# b = ["Sets"]
# c = ["_writeonly"]
# d = ["WRITE-ONLY"]
#
a = ["GET", "SET"]
b = ["Gets", "Sets"]
c = ["_readonly", "_writeonly"]
d = ["READ-ONLY", "WRITE-ONLY"]
# experimental setup
memtier_vms = 3
memtier_instances_per_vm = 1
num_threads_per_instance = 2
clients_per_thread = [1, 5, 8, 14, 19, 23, 28, 32, 42, 52, 64]
repetitions = 3
data = {} # <GET/SET, <cpt, <rep, <vm, json_file> > > >
def make_filename(cpt, rep, readonly, vm):
if readonly:
c = "_S0-G1_"
else:
c = "_S1-G0_"
return json_file_base_name + "cpt" + str(cpt) + "_rep" + str(rep) + c + "vm" + str(vm) + ".json"
def read_jsons(readonly):
bigger_dict = {}
for cpt in clients_per_thread:
big_dict = {}
for rep in range(1, repetitions + 1):
small_dict = {}
for vm in range(1, memtier_vms + 1):
with open(make_filename(cpt, rep, readonly, vm)) as json_file:
json_data = json.load(json_file)
json_file.close()
small_dict[vm] = json_data
big_dict[rep] = small_dict
bigger_dict[cpt] = big_dict
if readonly:
data['GET'] = bigger_dict
else:
data['SET'] = bigger_dict
def print_csv(full_header, full_data, path):
with open(path, 'w') as csv_file:
writer = csv.DictWriter(csv_file, fieldnames=full_header)
writer.writeheader()
for row in range(len(full_data[0])):
one_row = {}
for column in range(len(full_header)):
one_row[full_header[column]] = full_data[column][row]
writer.writerow(one_row)
csv_file.close()
def assemble_and_print():
full_data = []
total_num_clients = memtier_vms * memtier_instances_per_vm * num_threads_per_instance * np.asarray(
clients_per_thread)
full_data.append(total_num_clients)
for j in range(len(a)):
throughput_means = []
throughput_stdev = []
restime_means = []
restime_stdev = []
for i, cpt in enumerate(clients_per_thread):
sums_in_reps = []
response_times_in_reps = []
for rep in range(1, repetitions + 1):
sum_throughput = 0
response_times = []
for vm in range(1, memtier_vms + 1):
sum_throughput += data[a[j]][cpt][rep][vm]["ALL STATS"][b[j]][throughput_literal]
response_times.append(data[a[j]][cpt][rep][vm]["ALL STATS"][b[j]][latency_literal])
sums_in_reps.append(sum_throughput)
response_times_in_reps.append(np.mean(np.asarray(response_times)))
average_throughput_over_repetitions = np.mean(np.asarray(sums_in_reps))
stdev_throughput_over_repetitions = np.std(np.asarray(sums_in_reps))
throughput_means.append(average_throughput_over_repetitions)
throughput_stdev.append(stdev_throughput_over_repetitions)
average_restime_over_repetitions = np.mean(np.asarray(response_times_in_reps))
stdev_restime_over_repetitions = np.std(np.asarray(response_times_in_reps))
restime_means.append(average_restime_over_repetitions)
restime_stdev.append(stdev_restime_over_repetitions)
full_data.append(throughput_means)
full_data.append(throughput_stdev)
full_data.append(restime_means)
full_data.append(restime_stdev)
# print_csv(["Number of Clients",
# "Average Throughput WRITE-ONLY", "Std Dev Throughput WRITE-ONLY",
# "Average Response Time WRITE-ONLY", "Std Dev Response Time WRITE-ONLY"], full_data,
# plots_base_name + "source_baseline_nomidd_1server.csv")
print_csv(["Number of Clients", "Average Throughput READ-ONLY", "Std Dev Throughput READ-ONLY",
"Average Response Time READ-ONLY", "Std Dev Response Time READ-ONLY",
"Average Throughput WRITE-ONLY", "Std Dev Throughput WRITE-ONLY",
"Average Response Time WRITE-ONLY", "Std Dev Response Time WRITE-ONLY"], full_data,
plots_base_name + "source_baseline_nomidd_1server.csv")
def main():
read_jsons(False)
read_jsons(True)
assemble_and_print()
if __name__ == "__main__":
main()