Linux Journal Contents #153, January 2007
Linux Journal Issue #153/January 2007
Features
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SMP and Embedded Real-Time
by Paul McKenney
What happens when multicore CPUs penetrate embedded systems?
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Choosing a GUI Library for Your Embedded Device
by Martin Hansen
GUI design with QTopia and Nano-X.
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The HAL Project
by Pascal Charest, Michael Lenczner and Guillaume Marceau
It's hacking, but is it art?
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How to Port Linux When the Hardware Turns Soft
by David Lynch
Soul of the Pico machines
Indepth
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An Interview with Marten Mickos
by Glyn Moody
Marten Mickos chats about the success of MySQL.
-
Creating a Lulu Book Cover with Pixel
by Donald Emmack
Pixel makes a Lyx book pixel perfect.
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An Automated Reliable Backup Solution
by Andrew De Ponte
A super backup solution on the cheap.
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Ajax Timelines and the Semantic Web
by Ben Martin
Should we create a timeline on how we implement Timeline?
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Controlling Spam with SpamAssassin
by Colin McGregor
Assassinate spam with extreme prejudice.
Columns
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Tech Tips with Gnull and Voyd
Tech Tips
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Reuven M. Lerner's At the Forge
Prototype
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Marcel Gagné's Cooking with Linux
It's about Time!
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Dave Taylor's Work the Shell
How Do People Find You on Google?
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Mick Bauer's Paranoid Penguin
Running Network Services under User-Mode Linux, Part III
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Jon “maddog” Hall's Beachhead
Ode to Joy
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Doc Searls' Linux for Suits
Embedded at the Edge
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Nicholas Petreley's /var/opinion
The GPLv2 vs. GPLv3 Debate
Review
In Every Issue
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.
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| 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 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
- Dynamic DNS—an Object Lesson in Problem Solving
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Readers' Choice Awards
- Tech Tip: Really Simple HTTP Server with Python
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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