for lambda_arr in lambda_arr_values:
sim = SimulationAdvancedUsingBatches(lambda_arr, MU_SERVICE, SERVICE_NUMB, CONFIDENCE_INTERVAL,
MIN_NUMB_BATCHES, SIZE, A, B, warm_up=True)
sim.runSim()
temp = sim.returnValuesSimulation()
# saving the data in separate lists
means_resp.append(temp["mean_resp"])
means_custom.append(temp["mean_custom"])
means_dropped.append(temp["mean_dropped"])
upper_interval_resp.append(temp["interval_resp"][1])
lower_interval_resp.append(temp["interval_resp"][0])
upper_interval_custom.append(temp["interval_custom"][1])
lower_interval_custom.append(temp["interval_custom"][0])
upper_interval_dropped.append(temp["interval_dropped"][1])
lower_interval_dropped.append(temp["interval_dropped"][0])
print str(temp) + "\n"
print str(time_debug) + "/" + str(len(lambda_arr_values)) + "\n"
time_debug = time_debug + 1
pyplot.close()
Graphs.meanAndConfidenceInterval(roh, means_resp, lower_interval_resp, upper_interval_resp,
"Average Response Time", "Packet Response Time")
Graphs.meanAndConfidenceInterval(roh, means_custom, lower_interval_custom, upper_interval_custom,
"Average Customers", "Customer Buffer Occupancy")
Graphs.meanAndConfidenceInterval(roh, means_dropped, lower_interval_dropped, upper_interval_dropped,
"Average Packet Dropped", "Packer Dropped")
pyplot.show()
lower_interval_resp_time.append(temp["interval_resp"][0])
upper_interval_custom_front.append(temp["interval_custom_front"][1])
lower_interval_custom_front.append(temp["interval_custom_front"][0])
means_dropped.append(temp["mean_dropped"])
upper_interval_dropped.append(temp["interval_dropped"][1])
lower_interval_dropped.append(temp["interval_dropped"][0])
# saving the data in separate lists for back
means_custom_back.append(temp["mean_custom_back"])
upper_interval_custom_back.append(temp["interval_custom_back"][1])
lower_interval_custom_back.append(temp["interval_custom_back"][0])
print str(temp) + "\n"
print str(time_debug) + "/" + str(len(lambda_arr_values)) + "\n"
time_debug = time_debug + 1
pyplot.close()
Graphs.meanAndConfidenceInterval(roh, means_resp_time, lower_interval_resp_time, upper_interval_resp_time,
"Average Response Time", "Packet Response Time Front Server")
Graphs.meanAndConfidenceInterval(roh, means_custom_front, lower_interval_custom_front, upper_interval_custom_front,
"Average Customers", "Customer Buffer Occupancy Front Server")
Graphs.meanAndConfidenceInterval(roh, means_dropped, lower_interval_dropped,
upper_interval_dropped,
"Average Packet Dropped", "Packer Dropped Front Server")
Graphs.meanAndConfidenceInterval([1.0 / x for x in lambda_arr_values], means_custom_back,
lower_interval_custom_back,
upper_interval_custom_back, "Average Customers",
"Customer Buffer Occupancy Back Server", x_label="lambda front")
pyplot.show()
