Linux Journal Contents #99, July 2002
Linux Journal Issue #99/July 2002
Features
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autoSql and autoXml: Code Generators from the Genome Project
by Jim Kent and Heidi Brumbaugh
When working with large amounts of data, save yourself some time with these tools, developed as a result of work on the Genome Project.
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Multiheading Linux Systems
by Brian Gollsneider and Arthur M. Messenger
Get set up for those jobs that require double the screen space.
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Icarus Verilog: Open-Source Verilog More Than a Year Later
by Stephen Williams and Michael Baxter
More competitive than ever—and still free!
Interview
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A Conversation with Stephen Williams
by Michael Baxter
Stephen reveals the secrets of just how Icarus Verilog has achieved amelioration.
Indepth
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Keeping Up with Python: the 2.2 Release
by Wesley J. Chun
Unification, iterators and more—the improvements to the Python 2.2 release series.
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DSI: Secure Carrier-Class Linux
by The DSI Team
Security architecture specifically for clustered environments is lacking—but that will soon change.
Toolbox
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Kernel Korner Proper Linux Kernel Coding Style
by Greg Kroah-Hartman
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At the Forge Apache 2.0
by Reuven M. Lerner
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Cooking with Linux Art Is but Engineered Reality
by Marcel Gagné
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Paranoid Penguin Staying Current without Going Insane
by Mick Bauer
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GFX Industrial Light & Magic
by Robin Rowe
Columns
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Focus on Software
On Engineers
by David A. Bandel
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Focus on Embedded Systems
In Search of the Embedded Linux “Killer App”
by Rick Lehrbaum
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Linux for Suits
The Protocol Problem
by Doc Searls
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Geek Law
License Defamation
by Lawrence Rosen
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 |
- Designing Electronics with Linux
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Validate an E-Mail Address with PHP, the Right Way
- What's the tweeting protocol?
- Mediated Reality: University of Toronto RWM Project
- New Products
- Using Salt Stack and Vagrant for Drupal Development
- Dart: a New Web Programming Experience
- OpenOffice.org Off-the-Wall: ToCs, Indexes and Bibliographies in OOo Writer
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!
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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