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
|
#!/usr/bin/perl
use common::sense;
use Data::Dump;
use List::Util;
my @GROUP_BY = qw/VERSION PEERS TOTAL_ROUTES/;
my @VALUES = qw/TIMEDIF/;
my ($FILE, $TYPE, $OUTPUT) = @ARGV;
### Load data ###
my %data;
open F, "<", $FILE or die $!;
my @header = split /;/, <F>;
chomp @header;
my $line = undef;
while ($line = <F>)
{
chomp $line;
$line =~ s/;;(.*);;/;;\1;/;
$line =~ s/v2\.0\.8-1[89][^;]+/bgp/;
$line =~ s/v2\.0\.8-[^;]+/sark/;
$line =~ s/master;/v2.0.8;/;
my %row;
@row{@header} = split /;/, $line;
push @{$data{join ";", @row{@GROUP_BY}}}, { %row } if $row{TYPE} eq $TYPE;
}
### Do statistics ###
sub avg {
return List::Util::sum(@_) / @_;
}
sub stdev {
my $avg = shift;
return 0 if @_ <= 1;
return sqrt(List::Util::sum(map { ($avg - $_)**2 } @_) / (@_-1));
}
my %output;
my %vers;
my %peers;
STATS:
foreach my $k (keys %data)
{
my %cols = map { my $vk = $_; $vk => [ map { $_->{$vk} } @{$data{$k}} ]; } @VALUES;
my %avg = map { $_ => avg(@{$cols{$_}})} @VALUES;
my %stdev = map { $_ => stdev($avg{$_}, @{$cols{$_}})} @VALUES;
foreach my $v (@VALUES) {
next if $stdev{$v} / $avg{$v} < 0.035;
for (my $i=0; $i<@{$cols{$v}}; $i++)
{
my $dif = $cols{$v}[$i] - $avg{$v};
next if $dif < $stdev{$v} * 2 and $dif > $stdev{$v} * (-2);
=cut
printf "Removing an outlier for %s/%s: avg=%f, stdev=%f, variance=%.1f%%, val=%f, valratio=%.1f%%\n",
$k, $v, $avg{$v}, $stdev{$v}, (100 * $stdev{$v} / $avg{$v}), $cols{$v}[$i], (100 * $dif / $stdev{$v});
=cut
splice @{$data{$k}}, $i, 1, ();
redo STATS;
}
}
$vers{$data{$k}[0]{VERSION}}++;
$peers{$data{$k}[0]{PEERS}}++;
$output{$data{$k}[0]{VERSION}}{$data{$k}[0]{PEERS}}{$data{$k}[0]{TOTAL_ROUTES}} = { %avg };
}
(3 == scalar %vers) and $vers{sark} and $vers{bgp} and $vers{"v2.0.8"} or die "vers size is " . (scalar %vers) . ", items ", join ", ", keys %vers;
### Export the data ###
open PLOT, "|-", "gnuplot" or die $!;
say PLOT <<EOF;
set logscale
set term pdfcairo size 20cm,15cm
set xlabel "Total number of routes" offset 0,-1.5
set xrange [10000:1500000]
set xtics offset 0,-0.5
set xtics (10000,15000,30000,50000,100000,150000,300000,500000,1000000)
set ylabel "Time to converge (s)"
set yrange [0.5:10800]
set grid
set key right bottom
set output "$OUTPUT"
EOF
my @colors = (
[ 1, 0.3, 0.3 ],
[ 1, 0.7, 0 ],
[ 0.3, 1, 0 ],
[ 0, 1, 0.3 ],
[ 0, 0.7, 1 ],
[ 0.3, 0.3, 1 ],
);
my $steps = (scalar %peers) - 1;
my @plot_data;
foreach my $v (sort keys %vers) {
my $color = shift @colors;
my $endcolor = shift @colors;
my $stepcolor = [ map +( ($endcolor->[$_] - $color->[$_]) / $steps ), (0, 1, 2) ];
foreach my $p (sort { int $a <=> int $b } keys %peers) {
my $vnodot = $v; $vnodot =~ s/\.//g;
say PLOT "\$data_${vnodot}_${p} << EOD";
foreach my $tr (sort { int $a <=> int $b } keys %{$output{$v}{$p}}) {
say PLOT "$tr $output{$v}{$p}{$tr}{TIMEDIF}";
}
say PLOT "EOD";
my $colorstr = sprintf "linecolor rgbcolor \"#%02x%02x%02x\"", map +( int($color->[$_] * 255 + 0.5)), (0, 1, 2);
push @plot_data, "\$data_${vnodot}_${p} using 1:2 with lines $colorstr linewidth 2 title \"$v, $p peers\"";
$color = [ map +( $color->[$_] + $stepcolor->[$_] ), (0, 1, 2) ];
}
}
push @plot_data, "2 with lines lt 1 dashtype 2 title \"Measurement instability\"";
say PLOT "plot ", join ", ", @plot_data;
close PLOT;
|