Linux Journal Contents #36, April 1997
Linux Journal Issue #36/April 1997
Features
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Serial Terminal as Console
by Francesco Conti
Sans video card, sans keyboard, sans monitor: the amazing headless Linux box.
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Building the Perfect Box: How to Design Linux Workstation
by Eric S Raymond
These days, it's possible to put together a decent personal Unix Platform for less than $2,000 US.
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Thread-Specific Data and Signal Handling in Multi-Threaded Applications
by Martin McCarthy
This second part of a series on Multi-threading deals with how to use C programs with one of the POSIX packages available for Linux to handle signals and concurrent threads
News & Articles
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Creating Animations with POV-Ray
by Andy Vaught
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The /proc File System and ProcMeter
by Andrew M. Bishop
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Somebody Still Uses Assembly Language?
by Richard A. Sevenich
Reviews
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Product Review Applixware 4.2 for Linux
by Gary Moore
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Book Review Active Java and Exploring Java
by Danny Yee
WWWsmith
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Using Perl to Check Web Links
by Jim Weirich
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At the Forge Quizzes
by Reuven Lerner
Columns
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Letters to the Editor
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From the Publisher
Linux—The Internet Appliance?
by Phil Hughes
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Stop the Presses
Usenix/Uselinux in Anaheim
by Phil Hughes
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Linux Means Business Using Linux at Lectra Systemes
by Pierre Ficheux
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Novice to Novice
A 10-Minute Guide for Using PPP to Connect Linux to the Internet
by Terry Dawson
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Take Command
od—The Oddest Little Text Utility Around
by Randy Zack
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New Products
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Linux Gazette
Indexing Texts with SMART
by Hans Paijmans
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Linux Gazette
History of the Portable Network Graphics (PNG) Format
by Greg Roelofs
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Best of Tech Support
by Gena Shurtleff
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 |
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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