Linux Journal Contents #93, January 2002
Linux Journal Issue #93/January 2002
Features
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Setting up a VPN Gateway
by Duncan Napier
A minimum inverstment VPN—the micro DUCLING distribution.
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Remote Linux Explained
by Richard Ferri
Learn to take advantage of the benefits of remote booting.
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VNC, Transparently
by Jeremy D. Impson
Gain secure access to your own desktop (in the same state) from anywhere on the network.
Interview
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Meeting with Costa Rica's Minister of Technology
by Phil Hughes
Meet the man behind Costa Rica's connectivity.
Toolbox
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Take Command Starting Share Files with NFS
by Olexiy Tykhomyrov and Denis Tonkonog
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Kernel Korner Improving Server Performance
by Chen Chen and David Griego
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At the Forge Entity Beans
by Reuven M. Lerner
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Cooking with Linux Networking for Pleasure
by Marcel Gagné
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Paranoid Penguin Practical Threat Analysis and Risk Management
by Mick Bauer
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GFX Porting Gothello
by Robin Rowe
Columns
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Focus on Software
Network Abuse
by David A. Bandel
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Focus on Embedded Systems
Take Linux with You Wherever You Go
by Rick Lehrbaum
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Linux for Suits Open Source Radio
by Doc Searls
Open-Source Radio
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Geek Law
Dealing wtih Patents in Software Licenses
by Lawrence Rosen
Reviews
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Coyote Point Equalizer
by Logan G. Harbaugh
Departments
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Letters
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upFRONT
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From the Editor High Seas Adventure
by Richard Vernon
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Best of Technical Support
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New Products
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
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- Tech Tip: Really Simple HTTP Server with Python
- Validate an E-Mail Address with PHP, the Right Way
- 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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