Linux Journal Contents #48, April 1998
Linux Journal Issue #48/April 1998
Features
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Using Linux in a Control and Robotics Lab
by Jon Davis
How a lab at Queen's University is using Linux to develop programs and control hardware experiments.
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Biomedical Research and Linux
by Roger S. Flugel
Linux is readily establishing itself in the biomedical field as a powerful and reliable system for research computing.
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Latvian Government Uses Linux
by Dmitrie Komarov
Mr. Komarov tells us how he used Linux to give an old database new capabilities and thereby saved his government money.
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Satellite Remote Sensing of the Oceans
by Simon J. Keogh, Emmanouil Oikonomou, Daniel Ballestero and Ian Robinson
Presented here is an overview of the kind of remote sensing that is done at Southampton University and how Linux has helped improve our productivity.
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Small Business Marketing of Linux
by Cliff Seruntine
Linux is a good business product. This article deals with the why, how and who of selling Linux.
News & Articles
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Building Projects With Imake
by Otto Hammersmith
Here's an explanation of how Imake works and how you can use it to build your executables—an article for programmers with C and Unix programming skills.
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Linux Network Programming, Part 3: CORBA: The Software Bus
by Ivan Griffin, Mark Donnelly and John Nelson
This month we are presented with an introduction to the networking of distributed objects and the use of CORBA.
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Financial Calculation Programs for Linux
by James Shapiro
Mr. Shapiro shows us how to write a program to compute internal rate of return using three programming languages supported by Linux—Perl, C and Java.
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LJ Interviews Mr. Eid Eid of Corel Computer
by Marjorie Richardson
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Helping Netscape Make History
by Eric S. Raymond
Netscape source is now free, who would have thought it? Eric Raymond, that's who. Here are his insights into this momentous event.
Reviews
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Product Reviews Visual SlickEdit: A Commercial Editor for Programmers
by Larry Ayers
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Product Reviews WordPerfect 7 for Linux
by Michael Scott Shappe
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Product Reviews TeraSpell 97 for Emacs
by Daniel Lazenby
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Book Reviews Practical Programming in Tcl and Tk
by John McLaughlin
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Book Reviews Protecting Your Web Site with Firewalls
by Leam Hall
WWWsmith
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At the Forge Using What We've Learned
by Reuven M. Lerner
This month Mr. Lerner shows us how to set up a web site using many of the techniques he's taught us over the past months.
Columns
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Letters to the Editor
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From the Editor
Workplace Solutions
by Marjorie Richardson
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Stop the Presses
The Software world—It's a Changin'
by Phil Hughes
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New Products
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System Administration Managing your Logs with Chklogs
by Emilio Grimaldo
Managing your Logs with Chklogs An introduction to a program written by Mr. Grimaldo to manage system logs.
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Kernel Korner Writing a Linux Driver
by Fernando Matia
The main goal of this article is to learn what a driver is, how to implement a driver for Linux and how to integrate it into the operating system. An article for the experienced C programmer.
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Linux Gazette
Configuring procmail with The Dotfile Generator
by Jesper Pedersen
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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.
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
- Linux Systems Administrator
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Introduction to MapReduce with Hadoop on Linux
- Weechat, Irssi's Little Brother
- Senior Perl Developer
- Technical Support Rep
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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