plot11.py

import matplotlib.pyplot as plt
import numpy as np

import data

for iter in [400, 10]:
    plt.rcParams.update({"font.size": 22})
    fig, ax = plt.subplots(figsize=(12, 5.5))

    time_data = {runtime: data.time_data[runtime] for runtime in data.time_data}

    time_data = {
        runtime: time_data[runtime]
        for runtime in sorted(time_data, key=lambda x: time_data[x][iter])
    }

    times = [time_data[runtime][iter] for runtime in time_data]

    runtimes = list(time_data.keys())
    width = 0.4

    colors = ["#2d85f0" if runtime != "crun+wamr" else "#ed755c" for runtime in runtimes]
    alpha = [1 if "python" not in runtime else 0.5 for runtime in runtimes]

    for i, runtime in enumerate(runtimes):
        if "wamr" not in runtime:
            if time_data[runtime][iter] != 0:
                print(
                    f"{iter}: wamr uses {time_data['crun+wamr'][iter]} s, while {runtime} uses {time_data[runtime][iter]} s\n"
                    f"{iter}: wamr uses {round((1 - time_data['crun+wamr'][iter] / time_data[runtime][iter]) * 100, 2)}% less time than {runtime}"
                )
            print("__________________________________________________________")

    for i, runtime in enumerate(runtimes):
        if "containerd-shim-wasmedge" not in runtime:
            if time_data[runtime][iter] != 0:
                print(
                    f"{iter}: containerd-shim-wasmedge uses {time_data['containerd-shim-wasmedge'][iter]} s, while {runtime} uses {time_data[runtime][iter]} s\n"
                    f"{iter}: containerd-shim-wasmedge uses {round((1 - time_data['containerd-shim-wasmedge'][iter] / time_data[runtime][iter]) * 100, 2)}% less time than {runtime}"
                )
            print("__________________________________________________________")

    for i, runtime in enumerate(runtimes):
        if "crun+wasmtime" not in runtime:
            if time_data[runtime][iter] != 0:
                print(
                    f"{iter}: crun+wasmtime uses {time_data['crun+wasmtime'][iter]} s, while {runtime} uses {time_data[runtime][iter]} s\n"
                    f"{iter}: crun+wasmtime uses {round((1 - time_data['crun+wasmtime'][iter] / time_data[runtime][iter]) * 100, 2)}% less time than {runtime}"
                )
            print("__________________________________________________________")

    avg = sum(times) / len(times)
    print("avg time for", iter, "pods:", avg, "s")

    y = np.arange(len(runtimes))
    for i, runtime in enumerate(runtimes):
        ax.barh(runtime, times[i], color=colors[i], label="kubectl top", alpha=alpha[i])

    ax.set_xlabel("Time to Start All Containers (s)")
    # ax.set_title('Startup Time: crun + WAMR vs Current Sate-of-Art (' + str(iter) + ' pods)')

    if iter == 10:
        ax.set_xlim(xmax=4.5)
        ax.xaxis.set_major_locator(plt.MultipleLocator(1))
    else:
        ax.set_xlim(xmax=185)
        ax.xaxis.set_major_locator(plt.MultipleLocator(25))

    # fig.set_size_inches(13.5, 6)
    plt.tight_layout(pad=0)
    plt.savefig("plot11_crun_" + str(iter) + ".pdf")