#!/usr/bin/perl # Parse the log output files of run-experiment # Send concatenated log files to stdin, or list them on the command # line. use strict; my $mode = ''; my $depth = 0; my $numops = 0; my $who = 0; my @initsecs = (0, 0, 0); my @seconds = (0, 0, 0); my @bytes = (0, 0, 0); my $netsetup = ''; my %ramen_s_data = (); my %ramen_kib_data = (); while(<>) { chomp; if (/Network setup: (.*)/) { $netsetup = "$1 "; next; } if (/===== Running ramen (\d+) (\d+)/) { $depth = $1; $numops = $2; @initsecs = (0,0,0); @seconds = (0,0,0); @bytes = (0,0,0); next; } if (/===== P([012]) output/) { $who = $1; next; } if (/^InitTime: (\d+\.?\d*) ms/) { $initsecs[$who] = $1/1000; next; } if (/^time accesses:\s+(\d+\.?\d*) ms/) { $seconds[$who] = $1/1000; next; } if (/num_bytes_sent: (\d+)/) { $bytes[$who] += $1; next; } if (/===== End/) { my $label = "Ramen read $depth $numops"; my $maxinitsecs = &max3($initsecs[0], $initsecs[1], $initsecs[2]); my $maxsecs = &max3($seconds[0], $seconds[1], $seconds[2]); &accum_data(\%ramen_s_data, $label, $maxinitsecs + $maxsecs); # The bytes values are for each party, so average them to get the # average communication for each party my $avgbytes = ($bytes[0] + $bytes[1] + $bytes[2]) / 3; my $kib = $avgbytes / 1024; &accum_data(\%ramen_kib_data, $label, $kib); } } # Convert the data (in the form [n, sum, sum_squares]) to statistics (in # the form [mean, variance]) my %ramen_s_stats = (); my %ramen_kib_stats = (); &statsify(\%ramen_s_stats, \%ramen_s_data); &statsify(\%ramen_kib_stats, \%ramen_kib_data); # Output the data &output_stats(\%ramen_s_stats, "s"); &output_stats(\%ramen_kib_stats, "KiB"); # Subroutines sub max3 { my $m = $_[0]; $m = $_[1] if $_[1] > $m; $m = $_[2] if $_[2] > $m; $m; } # Pass: # - a reference to a dictionary # - the key into that dictionary # - the new data point # Data is stored in the dictionary as a triple (n, sum, sum_squares) sub accum_data { my ($dict, $key, $data) = @_; $dict->{$key} = [0, 0, 0] unless defined $dict->{$key}; $dict->{$key}->[0] += 1; $dict->{$key}->[1] += $data; $dict->{$key}->[2] += ($data * $data); } # Convert data (in the form [n, sum, sum_squares]) to statistics (in # the form [mean, variance]) sub statsify { my ($sdict, $ddict) = @_; my $key; foreach $key (keys %$ddict) { my $data = $ddict->{$key}; my $n = $data->[0]; my $sum = $data->[1]; my $sumsq = $data->[2]; if ($n == 0) { $sdict->{$key} = [undef, undef]; } elsif ($n == 1) { $sdict->{$key} = [$sum, undef]; } else { $sdict->{$key} = [$sum/$n, ($sumsq - ($sum*$sum/$n))/($n-1)]; } } } # Turn a stat array [mean, variance] into a string to display sub statstr { my $data = $_[0]; if (defined $data->[1]) { my $mean = $data->[0]; my $stddev = $data->[1] > 0 ? sqrt($data->[1]) : 0; return "$mean ± $stddev"; } elsif (defined $data->[0]) { return $data->[0]; } else { return "none" } } # Output the stats in the given dictionary. Append $phase to the # protocol name, and add $units to the end. sub output_stats { my ($dict, $units) = @_; my $label; foreach $label (sort keys %$dict) { print $label, " ", &statstr($dict->{$label}), " $units\n"; } }