Linux Journal Contents #109, May 2003
Linux Journal Issue #109/May 2003
Features
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Kernel Mode Linux
by Toshiyuki Maeda
Run any program in kernel space for maximum speed, but use your new power responsibly.
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Introducing the 2.6 Kernel
by Robert Love
From the scheduler to the device drivers, there's a lot to like and learn about the upcoming Linux 2.6.
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The Kernel Configuration and Build Process
by Greg Kroah-Hartman
Configuring and building the kernel is simpler and more flexible than 2.4 and before. Here's how to customize your kernel or integrate your new feature.
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Reiser4, Part II: Designing Trees that Cache Well
by Hans Reiser
Discover the next step in the evolution of an innovative filesystem for Linux.
Indepth
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The Linux Softsynth Roundup
by Dave Phillips
Whether you want to emulate a vintage synthesizer or create a totally new sound, there's software to help make it happen.
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Learning Regular Expressions
by Giovanni Organtini
Discover a powerful, fast technique for text searching and filtering.
Embedded
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Advanced Memory Allocation
by Gianluca Insolvibile
Keeping memory requirements low can save you time and money. Here's how to bend malloc() to your will.
Toolbox
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Kernel Korner Writing Stackable Filesystems
by Erez Zadok
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At the Forge Introducing Plone
by Reuven M. Lerner
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Cooking with Linux Battles inside the Computer
by Marcel Gagné
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Paranoid Penguin Using Firewall Builder, Part I
by Mick Bauer
Columns
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Linux for Suit Closing the Chasm
by Doc Searls
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EOF Doing Good and Preventing Bad
by Phil Hughes
Reviews
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Programming Jabber
by Paul Barry
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Free Software, Free Society: Selected Essays of Richard M. Stallman
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
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.
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| 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
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
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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