Linux Journal Contents #99, July 2002
Linux Journal Issue #99/July 2002
Features
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autoSql and autoXml: Code Generators from the Genome Project
by Jim Kent and Heidi Brumbaugh
When working with large amounts of data, save yourself some time with these tools, developed as a result of work on the Genome Project.
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Multiheading Linux Systems
by Brian Gollsneider and Arthur M. Messenger
Get set up for those jobs that require double the screen space.
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Icarus Verilog: Open-Source Verilog More Than a Year Later
by Stephen Williams and Michael Baxter
More competitive than ever—and still free!
Interview
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A Conversation with Stephen Williams
by Michael Baxter
Stephen reveals the secrets of just how Icarus Verilog has achieved amelioration.
Indepth
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Keeping Up with Python: the 2.2 Release
by Wesley J. Chun
Unification, iterators and more—the improvements to the Python 2.2 release series.
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DSI: Secure Carrier-Class Linux
by The DSI Team
Security architecture specifically for clustered environments is lacking—but that will soon change.
Toolbox
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Kernel Korner Proper Linux Kernel Coding Style
by Greg Kroah-Hartman
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At the Forge Apache 2.0
by Reuven M. Lerner
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Cooking with Linux Art Is but Engineered Reality
by Marcel Gagné
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Paranoid Penguin Staying Current without Going Insane
by Mick Bauer
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GFX Industrial Light & Magic
by Robin Rowe
Columns
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Focus on Software
On Engineers
by David A. Bandel
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Focus on Embedded Systems
In Search of the Embedded Linux “Killer App”
by Rick Lehrbaum
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Linux for Suits
The Protocol Problem
by Doc Searls
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Geek Law
License Defamation
by Lawrence Rosen
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
| Speed Up Your Web Site with Varnish | Jun 19, 2013 |
| 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 |
- Speed Up Your Web Site with Varnish
- Containers—Not Virtual Machines—Are the Future Cloud
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Non-Linux FOSS: libnotify, OS X Style
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
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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