CS536_A2/plot_results_2.py at master · CacheUseOnly/CS536_A2 · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
import matplotlib.pyplot as plt
import numpy as np
import json
from collections import defaultdict


class Server:
    def __init__(self, server,time, goodput_bps, snd_cwnd, rtt_ms, loss):

        self.server = server
        self.time = time
        self.goodput_bps = goodput_bps
        self.snd_cwnd = snd_cwnd
        self.rtt_ms = rtt_ms
        self.loss = loss


def plot_tcpstats(goodput_location: str, output_path: str = "results/tcpstats_plot.pdf", n:int=1):
    with open(goodput_location, 'r') as f:
        runs = json.load(f)
    if not runs:
        print("No runs found in goodput file.")
        return
    # print(f"Loaded {len(runs)} runs from {goodput_location}")
    data = {}
    for i in range(min(n, len(runs))):
        data[runs[i]['server']] = runs[i]['tcpstats_samples']
    samples = []
    for server in data:
        tcpstats = data[server]
        time = []
        goodput_bps = []
        snd_cwnd = []
        rtt_ms = []
        loss = []
        for sample in tcpstats:
            time.append(sample['t'])
            goodput_bps.append(sample['goodput_bps'])
            snd_cwnd.append(sample['cwnd'])
            rtt_ms.append(sample['rtt_ms'])
            loss.append(sample['loss'])
        time = np.array(time)
        goodput_bps = np.array(goodput_bps)
        snd_cwnd = np.array(snd_cwnd)
        rtt_ms = np.array(rtt_ms)
        loss = np.array(loss)
        samples.append(Server(server, time, goodput_bps, snd_cwnd, rtt_ms, loss))

    return _plot_tcpstats(samples, prefix=output_path[:-4])


def _plot_tcpstats(
    samples: list[Server],
    prefix="tcp_trace"
):
    """
    Generates all required Part 2 plots and saves as pdfs.

    Parameters
    ----------
    time : np.ndarray
    goodput_bps : np.ndarray
    snd_cwnd : np.ndarray
    rtt_ms : np.ndarray
    loss : np.ndarray
    prefix : str
        filename prefix for outputs
    """

    # ---------- Time series: cwnd ----------
    plt.figure()
    for server in samples:
        plt.plot(server.time, server.snd_cwnd, label=server.server)
    plt.xlabel("Time (s)")
    plt.ylabel("snd_cwnd (segments)")
    plt.title("Congestion Window vs Time")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_cwnd_timeseries.pdf")
    plt.close()

    # ---------- Time series: RTT ----------
    plt.figure()
    for server in samples:
        plt.plot(server.time, server.rtt_ms, label=server.server)
    plt.xlabel("Time (s)")
    plt.ylabel("RTT (ms)")
    plt.title("RTT vs Time")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_rtt_timeseries.pdf")
    plt.close()

    # ---------- Time series: loss ----------
    plt.figure()
    for server in samples:
        plt.plot(server.time, server.loss, label=server.server)
    plt.xlabel("Time (s)")
    plt.ylabel("Loss signal")
    plt.title("Loss vs Time")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_loss_timeseries.pdf")
    plt.close()

    # ---------- Time series: throughput ----------
    plt.figure()
    for server in samples:
        plt.plot(server.time, server.goodput_bps, label=server.server)
    plt.xlabel("Time (s)")
    plt.ylabel("Goodput (bps)")
    plt.title("Throughput vs Time")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_throughput_timeseries.pdf")
    plt.close()

    # ---------- Scatter: cwnd vs goodput ----------
    plt.figure()
    for server in samples:
        plt.scatter(server.snd_cwnd, server.goodput_bps, s=10, label=server.server)
    plt.xlabel("snd_cwnd (segments)")
    plt.ylabel("Goodput (bps)")
    plt.title("cwnd vs Goodput")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_cwnd_vs_goodput.pdf")
    plt.close()

    # ---------- Scatter: RTT vs goodput ----------
    plt.figure()
    for server in samples:
        plt.scatter(server.rtt_ms, server.goodput_bps, s=10, label=server.server)
    plt.xlabel("RTT (ms)")
    plt.ylabel("Goodput (bps)")
    plt.title("RTT vs Goodput")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_rtt_vs_goodput.pdf")
    plt.close()

    # ---------- Scatter: loss vs goodput ----------
    plt.figure()
    for server in samples:
        plt.scatter(server.loss, server.goodput_bps, s=10, label=server.server)
    plt.xlabel("Loss signal")
    plt.ylabel("Goodput (bps)")
    plt.title("Loss vs Goodput")
    plt.legend()
    plt.grid(True)
    plt.tight_layout()
    plt.savefig(f"{prefix}_loss_vs_goodput.pdf")
    plt.close()

    return 0