Linux Journal Contents #155, March 2007
Linux Journal Issue #155/March 2007
Features
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Time-Zone Processing with Asterisk, Part I
by Matthew Gast
Hello, this is your unwanted wake-up call.
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Home Box to Trixbox
by Michael George
Add a digital receptionist to your home.
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How to Configure SIP and NAT
by Sean Walberg
Swatting NAT for VoIP.
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Expose VoIP Problems with Wireshark
by Sean Walberg
Shark in the network.
Indepth
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Applying Adhearsion to Asterisk
by Jay Phillips
A gem of an Asterisk tool.
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Combine uClinux and Asterisk on a Card
by David Rowe
uClinux is the Digi-Key to embedding Asterisk.
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VoIP with CommuniGate Pro
by Daniel Sadowski and Stephen Pratt
How to do VoIP with CommuniGate Pro.
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Building a Multi-Room Digital Music System
by Chad Files
MPD on simple hardware goes a long way.
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The D Programming Language
by Ameer Armaly
What comes after C++ and C#?
Columns
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Reuven M. Lerner's At the Forge
Dojo
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Marcel Gagné's Cooking with Linux
Free Long Distance—Really!
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Dave Taylor's Work the Shell
Compact Code and Cron Contraptions
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Mick Bauer's Paranoid Penguin
Introduction to SELinux, Part II
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Jon “maddog” Hall's Beachhead
Waysmall
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Doc Searls' Linux for Suits
DIY Internet Infrastructure
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Nicholas Petreley's /var/opinion
Dealing with the Devil
Quick Take
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Coyote Point Equalizer E550si Load Balancer
by Logan G. Harbaugh
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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| 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
- Using Salt Stack and Vagrant for Drupal Development
- New Products
- Build a Skype Server for Your Home Phone System
- Validate an E-Mail Address with PHP, the Right Way
- Why Python?
- A Topic for Discussion - Open Source Feature-Richness?
- Tech Tip: Really Simple HTTP Server with Python
- Great
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22 hours 13 min ago - DynDNS
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1 day 2 hours ago - All the articles you talked
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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?




Comments
pdf?
can I have a pdf Copy of this magazin via email?