Laboratoire de l'Informatique et du Parallélisme » Benchmark Grid5000

#!/usr/bin/python

import matplotlib.pyplot as plt

import sys

def usage():

  print "Usage: %s [result_file_name] [graph_comment]" % sys.argv[0]

  sys.exit(1)

def load_result_file(filename):

  f=open(filename)

  first_line=True

  results={}

  for line in f:

    n_clients,values = line.split()[0],[int(v) for v in line.split()[1:]]

    if not values:

      break

    if first_line:

      data_nodes_list = values

      first_line=False

    elif values:

      n_clients=int(n_clients)

      results[n_clients]={}

      for n_data_nodes in data_nodes_list:

        v_index = data_nodes_list.index(n_data_nodes)

        if len(values)>v_index:

          results[n_clients][n_data_nodes]= values[v_index]

  f.close()

  return results

if __name__=="__main__":

  if len(sys.argv)<2:

    usage()

  else:

    filename = sys.argv[1]

  if len(sys.argv)>2:

    comment=sys.argv[2]

  else:

    comment=filename

  results = load_result_file(filename)

  for n_clients in results.keys():

    plt.plot(

        results[n_clients].keys(), \

        results[n_clients].values(), \

        linewidth=2.0, \

        label="%d clients" % n_clients \

        )

  plt.title(comment)

  plt.xlabel("Number of Data Nodes")

  plt.ylabel("DFS Aggregated Write Speed - MB/s")

  plt.axis([0, 16, 0, 2000])

  plt.grid(True)

  plt.legend(loc='upper right')

  plt.savefig(filename+".png", bbox_inches=0)