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The first shows the standard layout, with the time first (in seconds since January 1, 1970), and the second shows the Apache-like layout. Squid logs are very long and difficult to read, so a number of Squid log analysis tools are available. SUSE includes a tool called sarg (Squid Analysis Report Generator). If you want to use sarg, you must install it separately; it is not included in the Squid package. The sarg tool can be set to run daily from a cron job and produce HTML reports, which can be viewed through a browser, as in the example in Figure 25-3. The reports combine a statistical analysis of usage with fine detail such as at what time a particular client or user accessed a particular site. The use of such a tool is clearly subject to certain ethical considerations; users will rightly consider that they have a right of privacy, but at the same time this must be weighed against a company s acceptable use policies.

By adding this functionality to a NN, the network changes from a passive learner to an active learner Figure 77 illustrates the difference between active learning and passive learning With careful dynamic selection of training examples, shorter training times and better generalization may be obtained Provided that the added complexity of the example selection method does not exceed the reduction in training computations (due to a reduction in the number of training patterns), training time will be reduced [Hunt and Deller 1995, Sung and Niyogi 1996, Zhang 1994] Generalization can potentially be improved, provided that selected examples contain enough information to learn the task Cohn [Cohn 1994] and Cohn, Atlas and Ladner [Cohn et al 1994] show through average case analysis that the expected generalization performance of active learning is significantly better than passive learning Seung, Opper and Sompolinsky [Seung et al.

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One of the difficulties in running a web proxy is that each client browser has to be configured to use it. A much neater solution is to force all attempts to access a web site to go through the proxy. This can be achieved quite simply by using iptables firewall rules on the machine where Squid runs. What you want to do is to intercept all outbound packets to external hosts on port 80 (and certain others perhaps) and redirect them to port 3128 on the server. Squid will then do the proxying. So you need iptables rules similar to this:

Solaris 1 (SunOS) Solaris 2 HPUX AIX IRIX ULTRIX OSF1 GNU/Linux /etc/fstab /etc/vfstab /etc/checklist or /etc/fstab /etc/file systems /etc/fstab /etc/fstab /etc/fstab /etc/fstab

This assumes that eth0 is the internal interface that is receiving the outgoing HTTP requests and that the machine where Squid is running is set as the gateway for the client machines.

CrossReference See also the discussion of firewall rules in 23. Note also that SuSEfirewall2 is capable of setting up the necessary rules for a transparent proxy. SuSEfirewall2 is also discussed in 23.

A convenient way of generating script aliases for all users is to write a short Perl script which rewrites the srm. conf file by looking through the password file and adding a Scr iptAlias entry for every user. In addition, a general cgi-bin directory is often desirable, where it is possible to place scripts which anyone can use. In the example below, we call this alias cgi-bin-public. Each user has a script alias called cgi-bin-username. #!/local/bin/perl # # Build script aliases frompassword file # # Path to the template and real srm. conf files $srmconf = "/local/httpd/conf/srm.conf"; $srmbase = "/local/httpd/conf/srm.conf.in"; open (OUT,">$srmconf") | | die; open (BASE,"$srm") | | die; while (<BASE>) { print OUT $_; } Close (BASE); setpwent(); while (($name,$pw,$uid,$gid,$qu,$com,$full,$dir) = getpwent) { # SKip system accounts next if ($uid < 100) ; print OUT "ScriptAlias /cgi-bin-$name $dir/www cgi-bin\n" ; last if ($name eq " " ) ; > close OUT; 8.6.8 Perl Script for Handling Errors # Copy base file to output

1992], Sung and Niyogi [Sung and Niyogi 1996] and Zhang [Zhang 1994] report similar improvements Results presented by Seung, Opper and Sompolinsky indicate that generalization error decreases more rapidly for active learning than for passive learning [Seung et al 1992] Two main approaches to active learning can be identified, ie incremental learning and selective learning Incremental learning starts training on an initial subset of.

The Squid configuration file should include these lines:

This Perl script can be used to generate customized or intelligent responses to error conditions. #!/local/bin/perl

httpd_accel_host virtual httpd_accel_port 80 httpd_accel_with_proxy on httpd_accel_uses_host_header on

See also the LDP s Transparent Proxy with Linux and Squid mini-HOWTO by Daniel Kiracofe at www.tldp.org/HOWTO/TransparentProxy.html.

# # Error handler #

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