Linux Journal Contents #122, June 2004
Linux Journal Issue #122/June 2004
Features
-
Simulators for Training Firefighters
by Douglas Maxwell
Fewer real fires means we need more fake fires for training. Behind the scenes at a Navy/New York Fire Department simulator.
-
Hacking Democracy
by Doc Searls
LAMP sites at US presidential campaigns offer lessons for your local politics too.
-
An Open-Source System for Electronic Court Filing
by Jim Beard
Can the 17,500 courts in the US agree on a common electronic filing system? Good news from the standards front.
Indepth
-
GNU Radio: Tools for Exploring the Radio Frequency Spectrum
by Eric Blossom
Listen to ham, shortwave, AM and FM, and even watch HDTV and invent new communications modes, all on the same hardware.
-
The Linux Soundfile Editor Roundup
by Dave Phillips
If you want to give your games, desktop apps and answering machine an audible personality, you'll need one of these tools.
Embedded
-
Driving Me Nuts
by Greg Kroah-Hartman
Toolbox
-
At the Forge
XOOPS
by Reuven M. Lerner
-
Kernel Korner
udev—Persistent Device Naming in User Space
by Greg Kroah-Hartman
-
Cooking with Linux
When Democracy Becomes Crazy!
by Marcel Gagné
-
Paranoid Penguin
Using Yum for RPM Updates
by Mick Bauer
Columns
-
EOF
Free Software Licenses
by Maureen O'Sullivan
Reviews
-
Xandros Desktop Deluxe 2.0
by Dean Staff
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
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
| Android's Limits | Jun 04, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Introduction to MapReduce with Hadoop on Linux
- Senior Perl Developer
- Technical Support Rep
- Weechat, Irssi's Little Brother
- UX Designer
- One Tail Just Isn't Enough
- Android's Limits
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?




33 min 20 sec ago
33 min 47 sec ago
2 hours 58 min ago
7 hours 9 min ago
7 hours 12 min ago
1 day 2 hours ago
1 day 3 hours ago
1 day 3 hours ago
1 day 7 hours ago
1 day 8 hours ago