Linux Journal Contents #134, June 2005
Linux Journal Issue #134/June 2005
Features
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Database Replication with Slony-I
by Ludovic Marcotte
Move up to a highly available cluster without leaving behind the open-source database you trust.
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Modeling the Brain with NCS and Brainlab
by Rich Drewes
Maybe the “neural networks” of Computer Science aren't so “neural” after all. This project takes the simulation one step closer to the brain.
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Squid-Based Traffic Control and Management System
by Tagir K. Bakirov and Vladimir G. Kozlov
Demanding users and tight network budgets mean it's time for this university to flexible accounting system for Internet use.
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Constructing Red Hat Enterprise Linux 4
by Tim Burke
You could hardly recognize Red Hat's “2.4” kernel for all the 2.6 features. Now the story is different.
Indepth
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Reading File Metadata with extract and libextractor
by Christian Grothoff
Where are the 400x200 PNG images I worked on in March? This system offers the answer.
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Converting e-Books to Open Formats
by Marco Fioretti
Regular books don't depend on one device—why shouldn't e-books be convenient to read anywhere too?
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One-Click Release Management
by Jake Davis
Fixing a bug, checking the fix into revision control, and pushing the change to the live site can all be an integrated system.
Embedded
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Real-Time and Performance Improvements in the 2.6 Linux Kernel
by William von Hagen
The Linux multimedia experience is smoother these days, thanks to advances in coding and benchmarking.
Toolbox
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At the Forge
Dynamically Generated Calendars
by Reuven M. Lerner
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Kernel Korner
ATA over Ethernet: Putting Hard Drives on the LAN
by Ed L. Cashin
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Cooking with Linux
L'Intranet Originale
by Marcel Gagné
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Paranoid Penguin
Securing Your WLAN with WPA and FreeRADIUS, Part III
by Mick Bauer
Columns
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Linux for Suits
Schooling IT
by Doc Searls
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EOF
Why I Don't Worry about SCO, and Never Did
by Chris DiBona
Reviews
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Open Source Solutions for Small Business Problems
by Stephen Haywood
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PHP 5 Power Programming
by Chris McAvoy
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Knoppix Hacks: 100 Industrial-Strength Tips and Tools
by Jeffrey Bianchine
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
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| 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 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Validate an E-Mail Address with PHP, the Right Way
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- New Products
- Tech Tip: Really Simple HTTP Server with Python
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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