Linux Journal Contents #110, June 2003
Linux Journal Issue #110/June 2003
Features
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Game Programming with the SDL
by Bob Pendleton
With this well-tested library, you can easily develop games for Linux and non-Linux platforms.
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Embedding an SQL Database with SQLite
by Michael Owens
You don't have to start doing DBA work just to run your SQL application on an embedded system or demo laptop. Simplify your life.
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A Template-Based Approach to XML Parsing in C++
by John Dubchak
Add XML support to your project with the Apache Software Foundation's Xerces parser and some C++ code.
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Speeding Up the Scientific Process
by Sam Clanton
Get rapid development and fast number crunching when you integrate critical functions in C into a Matlab project.
Indepth
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Lighting Simulation with Radiance
by Anthony W. Kay
Turn simple data files into amazing 3-D scenes using free software.
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Linux for Science Museums
by Len Kaplan
Love interactvie museums? Volunteer to help make your favorite museum even cooler.
Embedded
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Driving Me Nuts The Driver Model Core, Part I
by Greg Kroah-Hartman
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Memory Leak Detection in C++
by Cal Erickson
It's never too soon to fix bugs, and you can start using these tools as soon as your project will compile.
Toolbox
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At the Forge Customizing Plone
by Reuven M. Lerner
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Paranoid Penguin Using Firewall Builder, Part II
by Mick Bauer
Columns
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Linux for Suits : Click-N-Run: an Easier Future for Customers?
by Doc Searls
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EOF Re-energizing the Stunted PC Revolution
by Michael L. Robertson
Reviews
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The Sharp Zaurus SL-C700
by Guylhem Aznar
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SCO Linux 4
by Steve R. Hastings
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C++ Templates: The Complete Guide
by Michael Baxter
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
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
- Weechat, Irssi's Little Brother
- Senior Perl Developer
- Technical Support Rep
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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