Linux Journal Contents #127, November 2004
Linux Journal Issue #127/November 2004
Features
-
OSCAR and Bioinformatics
by Bernard Li
Use the software that the big labs use, and put a decade of Linux cluster management experience to work for you.
-
Scientific Visualizations with Pov-Ray
by Leigh Orf
Here's how a much-needed patch turned the popular rendering package into a scientific power tool.
-
Improving Application Performance on HPC Systems with Process Synchronization
by Paul Terry, Amar Shan and Pentti Huttunen
It's a simple concept that gives big results. A team from Cray takes a leap forward in the struggle to keep all processors in the cluster occupied efficiently.
Indepth
-
Readers' Choice 2004
by Heather Mead
Evolution or mutt? Vim or Kate? Old school or eye candy? And what's your favorite beverage for coding sessions? Heather has the answers.
-
MyHDL: a Python-Based Hardware Description Language
by Jan Decaluwe
Design hardware in Python? Why not? New features of the language are making it a simple, readable choice for new hardware ideas.
-
Revision Control with Arch: Introduction to Arch
by Nick Moffitt
Get started with a new, flexible working style that's convenient for far-flung projects and hacking on your laptop.
Embedded
-
Linux and RTAI for Building Automation
by Andres Benitez and Vicente Gonzales
Simple commodity units and Linux do the work of a big expensive system. Sounds familiar, but we're talking about air conditioning.
Toolbox
-
At the Forge
Aggregating with Atom
by Reuven M. Lerner
-
Kernel Korner
AEM: a Scalable and Native Event Mechanism for Linux
by Frédéric Rossi
-
Cooking with Linux
Performing at the Speed of Light
by Marcel Gagné
-
Paranoid Penguin
Linux Filesystem Security, Part II
by Mick Bauer
Columns
-
Linux for Suits
We're Going to Be a 90% Linux Shop
by Doc Searls
-
EOF
No 2.7 Kernel?
by Greg Kroah-Hartman
Reviews
-
GumStix WS200X
by Michael Boerner
-
Mastering UNIX Shell Scripting
by Marco Fioretti
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 |
- Linux Systems Administrator
- New Products
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Designing Electronics with Linux
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Favorite (and easily brute-forced) pw's
5 min 44 sec ago - Have you tried Boxen? It's a
5 hours 57 min ago - seo services in india
10 hours 29 min ago - For KDE install kio-mtp
10 hours 29 min ago - Evernote is much more...
12 hours 29 min ago - Reply to comment | Linux Journal
21 hours 15 min ago - Dynamic DNS
21 hours 49 min ago - Reply to comment | Linux Journal
22 hours 47 min ago - Reply to comment | Linux Journal
23 hours 38 min ago - Not free anymore
1 day 3 hours ago
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?




Comments
Interesting
Seems interesting , it will surely be a good read.
Thanks , Besmir @ Bypass Myspace