Linux Journal Contents #107, March 2003
Linux Journal Issue #107/March 2003
Features
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eVote Adds Elections to Mailing Lists
by Marilyn Davis
Now mailing-list members can conduct an election on the list—no administrator help needed.
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An Introduction to the Spambayes Project
by Richie Hindle
Make advanced spam filtering work with your existing mail tools.
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A Statistical Approach to the Spam Problem
by Gary Robinson
Can mathematics tell spam apart from legitimate mail? Find out which approaches work best in real-world tests.
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Building with Blogs
by Doc Searls and David Sifry
Is it a diary? A links page? Or more? The king of blogs and the author of new blog-ranking software outline your choices.
Indepth
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Getting Started with Emacs
by Charles Curley
After you've mastered the Emacs tutorial, now what? A look at macros for mail and more.
Embedded
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Linux Signals for the Application Programmer
by Dr. B. Thangaraju
Here's how to use signals in your applications.
Toolbox
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Kernel Korner Using the Input Subsystem, Part II
by Brad Hards
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At the Forge Unicode
by Reuven M. Lerner
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Cooking with Linux Chatting Up the Chef
by Marcel Gagné
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Paranoid Penguin rsync, Part I
by Mick Bauer
Columns
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Linux for Suits Original and Ultimate Communities
by Doc Searls
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EOF Broadcast Flag: MPAA's Latest Attack on Linux
by Seth David Schoen
Reviews
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BlueCat Networks' Meridius Mail Relay
by Nathan Smith
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Mathematica 4.2
by Dragan Stancevic
Departments
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




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