Commit a7cad9a3 authored by Andreas Schmidt's avatar Andreas Schmidt
Browse files

Refactor: Durations and stamps are automatically generated.

parent 34ae51ac

README.md

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# X-Lap: A Systems Approach for Cross-Layer Profiling and Latency Analysis for Cyber-Physical Networks



## Conventions



`_T`: Timestamp (us precision)

`_C`: Clockstamp

`_D`: Duration (us precision)



## How to use X-lap?

xlap/analyse/__init__.py

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@@ -64,7 +64,7 @@ def trace(df,title,export=False): 
def box(df_data,export=False,title=None):

    ax = df_data.plot.box(vert=False,grid=True)

    fig=ax.get_figure()

    ax.set_yticklabels(list(map(lambda x: x.get_text().replace("Time", ""), ax.get_yticklabels())))

    ax.set_yticklabels(list(map(lambda x: x.get_text().replace("_D", ""), ax.get_yticklabels())))

    plt.xlabel("Time [us]")

    fig.set_size_inches(8, 4.5, forward=True)

    if export and title is not None:
@@ -73,17 +73,17 @@ def box(df_data,export=False,title=None): 
def describe_table(df):

    stats = df.describe()

    stats.drop(["count"],inplace=True)

    stats.columns = list(map(lambda x: x.replace("Time", ""), stats.columns))

    stats.columns = list(map(lambda x: x.replace("_D", ""), stats.columns))

    table = stats.to_latex(float_format=lambda x: "%.3f" % x)

    print(table)

    return stats



def correlation(df_data,title="Correlation.pdf"):

    columns = list(["SenderTotalTime",

    columns = list(["Sender_D",

                    "SendTime",

                    "SenderIPCTime",

                    "LinkTransmitTime",

                    "ReceiverTotalTime",

                    "Receiver_D",

                    "ReceiverIPCTime",

                    "HandlePacketTime",

                    "FeedbackTime",
@@ -100,6 +100,6 @@ def correlation(df_data,title="Correlation.pdf"): 
        fig2 = ax.get_figure()

        ax.set_ylabel("EndToEnd [us]")

        ax.margins(0.1,0.1)

        ax.set_xlabel("{} [us]".format(column.replace("Time", "")))

        ax.set_xlabel("{} [us]".format(column.replace("_D", "")))

        i += 1

    fig.savefig(title)

xlap/analyse/common.py

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@@ -17,4 +17,4 @@ def extract_durations(config): 
    durations_send = [_dn(x) for x in durations if _filter(x, durations, "sender")]

    durations_recv = [_dn(x) for x in durations if _filter(x, durations, "receiver")]



    return ["EndToEndTime", "SenderTotalTime"] + durations_send + ["ReceiverTotalTime"] + durations_recv
 
    return ["EndToEndTime", "Sender_D"] + durations_send + ["Receiver_D"] + durations_recv

xlap/analyse/jitter.py

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@@ -45,7 +45,7 @@ def jitter_causes(df, export=False, file_name=None): 
    ax = df_sum.plot.bar(x="Reason",y="Frequency",rot=45,grid=True,legend=False,color="black")

    fig=ax.get_figure()

    plt.ylabel("Frequency")

    ax.set_xticklabels(list(map(lambda x: x.get_text().replace("Time", ""), ax.get_xticklabels())))

    ax.set_xticklabels(list(map(lambda x: x.get_text().replace("_D", ""), ax.get_xticklabels())))

    fig.set_size_inches(8, 3, forward=True)

    if export:

        fig.savefig(file_name)

xlap/command_line.py

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@@ -28,7 +28,7 @@ def main(): 
            print("{} is not a known analysis task.".format(command))

            continue



        df_data = evaluate(data_files["sender"], data_files["receiver"], stamps=config["stamps"], kind=0)

        df_data = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)



        params = { "export": args.export}