Linux Journal Contents #199, November 2010
Linux Journal Issue #199/November 2010
Features
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The Large Hadron Collider
by Carl Lundstedt
Open-source software is helping power the most complex scientific human endeavor ever attempted.
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Finding Your Phone, the Linux Way
by Daniel Bartholomew
Set up your N900 to phone home if it gets lost.
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Control Your Linux Desktop with D-Bus
by Koen Vervloesem
Get on da bus!
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Controlling Your Linux System with a Smartphone
by Jamie Popkin
It's not just for making phone calls!
Indepth
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Rockbox
by Bryan Childs
Open-source firmware for your MP3 player.
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Web Application Security Testing with Samurai
by Jes Fraser
Test your Web application before malicious attackers do it for you.
Columns
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Reuven M. Lerner's At the Forge
2010 Book Roundup
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Dave Taylor's Work the Shell
Scripting Common File Rename Operations
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Mick Bauer's Paranoid Penguin
Building a Transparent Firewall with Linux, Part III
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Kyle Rankin's Hack and /
Some Hacks from DEF CON
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Doc Searls' EOF
Coding in Pixels
Review
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Chinavasion Pico Projector
by Kyle Rankin
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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| 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
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| 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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