simmud,rayhrx

simmud's People

Contributors

Stargazers

Watchers

simmud's Issues

Creating #clients vs update interval relationship

Line chart of #clients vs update interval

2 charts, 1 for with quest, 1 for no quest

A script used for generating these 2 graphs:

all_data = [(#client, update_interval, spread/static, quest/noquest)]
for each run:
    spread_or_static_str, with_quest_or_no_quest_str, num_clients = read(label.txt) # 'spread'/'static', 'quest'/'noquest', num_clients
    for each csv:
        moving_average(request_time)
        moving_average(update_time)
    for i in each iteration:
        update_interval[i] = max([at(i) for each request_time]) + max([at(i) for each update_time])
    all_data.append((max(update_interval), spread_or_static_str, with_quest_or_no_quest_str)

for quest_mode in ['spread', 'static']:
    chart = chart()
    chart.plot(x=[#client], y=[update_interval], line_label='spread')
    chart.plot(x=[#client], y=[update_interval], line_label='static')

Use this chart to analyze the scalability, and compare static with spread.
Use the #request, #update, request time, update time trajectory charts for identifying bottleneck.

generate large amount of data running server 400seconds
properly label the data in the folder, with the comma separate format saved as label.txt
"spread"/"static", "quest"/"noquest", # clients
script

Recommend Projects