Linux Journal Contents #37, May 1997
Linux Journal Issue #37/May 1997
Features
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Linux On the PS/2
by David Weis
While still a challenge, it has recently become much easier to install Linux on a PS/2 with an ESDI drive. Here's how.
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Linux/m68k: Linux on the Motorola 68000 Processor
by Chris Lawrence
In the midst of all the attention given to ports to evermore exotic hardware, it's easy to overlook the first production quality port: Linux/m68k. The current version is the most stable yet.
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Native Linux on the PowerPC
by Cort Dougan
Users of the PowerPC no longer have to settle for less—here's how to run Linux on machines with the PCI bus.
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Linux? On the Macintosh? with Mach?
by Vicki Brown
The answer is an emphatic yes: Disover MkLinux.
News & Articles
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Tcl/Tk with C for Image Processing
by Siome Klein Goldenstein
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Internet Servers in Perl
by Mike Mull
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An Interview with DEC
by John “maddog” Hall and David Rusling
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Safely Running Programs as root
by Phil Hughes
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LJ Interviews Przemek Klosowski
by Marjorie Richardson & Lydia Kinata
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Python Update
by Andrew Kuchling
Reviews
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Product Review FairCom's C-tree Plus
by Nick Xidis
WWWsmith
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Re-linking Multi-Page Web Documents
by Jim Weirich
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At the Forge Missing CGI.pm and Other Mysteries
by Reuven Lerner
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Book Review World Wide Web Journal
by Danny Yee
Columns
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Letters to the Editor
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Letter from the Editor: Changes at LJ
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Stop the Presses
Linux and Web Browsers
by Phil Hughes
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Linux Means Business
Connecting SSC via Wirelss Modem
by Liem Bahneman
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Linux Apprentice
Paths
by Lynda Williams
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Take Command
ncpfs—Novell Netware Connectivity for Linux
by Shay Rojansky
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Kernel Korner
The “Virtual File System” in Linux
by Alessandro Rubini
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Linux Gazette
Tips from the Answer Guy
by James T. Dennis
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New Products
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Best Of Tech 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.
Sponsored by AMD
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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
- Validate an E-Mail Address with PHP, the Right Way
- Introduction to MapReduce with Hadoop on Linux
- RSS Feeds
- Weechat, Irssi's Little Brother
- New Products
- Developer Poll
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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