Linux Journal Contents #41, September 1997
Linux Journal Issue #41/September 1997
Features
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RoboCar: Unmanned Ground Robotics
by Kerry Kruempelstaedter
Students at the University of Colorado at Boulder use Linux on two networked computers which provide the brains for their entry in a robotic vehicle race.
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Linux at Holt Public Schools
by Mark Lachniet
WAN links and linux proxy servers form the basis of a computer network for this Michigan public school system.
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A Linux-based Lab for Operating Systems and Network Courses
by Richard Chapman and W.H Carlisle
Computer science students at Auburn University learn about operating systems and networking using Linux in the computer lab.
News & Articles
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Using Linux in a Training Environment
by B. Scott Burkett
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Programming with XForms, Part 3: The Library
by Thor Sigvaldason
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Packet Radio under Linux
by Jeff Tranter
Reviews
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Product Review Empress RDBMD and Just Logic/SQL RDBMS
by Rob Wehrli
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Product Review Megahedron—A 3D Graphics Environment
by Michael J. Hammel
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Product Review SOLID Desktop 2.2 for Linux
by Bradley J. Willson
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Book Review Beginning Linux Programming
by Mark Shacklette
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Book Review Linux Configuration and Installation, Second Edition
by Harvey Friedman
WWWsmith
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Building an ISP Using Linux and an Intranet
by Eric Harlow
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At the Forge Speaking SQL
by Reuven Lerner
Columns
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Letters to the Editor
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From the Editor
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From the Publisher
Atlanta Linux Showcase Report
by Phil Hughes and Todd Shrider
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Stop the Presses
Linux Grows Up
by Phil Hughes
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Linux Apprentice
Introduction to Named Pipes
by Andy Vaught
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Linux Means Business
Linux for Embedded Systems
by Sandor Markon & Kenji Sasaki
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New Products
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System Administration
Quota: Managing Your Disk Space
by Jan Rooijackers
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Kernel Korner
The sysctl Interface
by Alessandro Rubini
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Best of Technical Support
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.
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| 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
- Senior Perl Developer
- Technical Support Rep
- Non-Linux FOSS: libnotify, OS X Style
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- RSS Feeds
- It is quiet helping
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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?




Comments
chat
very good