Linux Journal Contents #107, March 2003
Linux Journal Issue #107/March 2003
Features
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eVote Adds Elections to Mailing Lists
by Marilyn Davis
Now mailing-list members can conduct an election on the list—no administrator help needed.
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An Introduction to the Spambayes Project
by Richie Hindle
Make advanced spam filtering work with your existing mail tools.
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A Statistical Approach to the Spam Problem
by Gary Robinson
Can mathematics tell spam apart from legitimate mail? Find out which approaches work best in real-world tests.
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Building with Blogs
by Doc Searls and David Sifry
Is it a diary? A links page? Or more? The king of blogs and the author of new blog-ranking software outline your choices.
Indepth
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Getting Started with Emacs
by Charles Curley
After you've mastered the Emacs tutorial, now what? A look at macros for mail and more.
Embedded
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Linux Signals for the Application Programmer
by Dr. B. Thangaraju
Here's how to use signals in your applications.
Toolbox
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Kernel Korner Using the Input Subsystem, Part II
by Brad Hards
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At the Forge Unicode
by Reuven M. Lerner
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Cooking with Linux Chatting Up the Chef
by Marcel Gagné
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Paranoid Penguin rsync, Part I
by Mick Bauer
Columns
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Linux for Suits Original and Ultimate Communities
by Doc Searls
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EOF Broadcast Flag: MPAA's Latest Attack on Linux
by Seth David Schoen
Reviews
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BlueCat Networks' Meridius Mail Relay
by Nathan Smith
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Mathematica 4.2
by Dragan Stancevic
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?




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