Linux Journal Contents #51, July 1998
Linux Journal Issue #51/July 1998
Features
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The Crystal Experiment: Linux in a Physics Lab
by Emanuele Leonardi and Giovanni Organtini
Linux is now being used in high-energy nuclear studies in Geneva by CERN.
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Due South with the British Antarctic Survey
by Craig Donlon and James Crawshaw
Linux now facilitates scientific research in the Atlantic Ocean and Antarctica.
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Linux in a Scientific Laboratory
by Przemek Klosowski, Nick Maliszewskyj and Bud Dickerson
The authors tell us how they use Linux daily to fulfill the requirements of their lab.
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Global Position Reporting
by Richard Parry
Although the GPS was originally intended for use by the military, in peace time it has given rise to applications that were heretofore limited to science fiction.
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Javalanche: An Avalanche Predictor
by Richard Sevenich and Rick Price
This article introduces a prototypical avalanche predicting software package implemented with a Fuzzy Logic algorithm.
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ROOT: An Object-Oriented Data Analysis Framework
by Fons Rademakers and Rene Brun
A report on a data analysis tool currently being developed at CERN.
News & Articles
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A Glimpse of Icon: A Language For the Rest of Us
by Clinton Jeffery and Shamim Mohamed
This article gives a quick introduction to the programming language Icon, developed at the University of Arizona.
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Having Fun on ViewSurf
by Pierre Ficheux
This article explains how linux is used in the ViewSurf “Beach Report”, a fun WebCAM-based service.
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Encrypted File Systems
by Bear Giles
Here's a good way to protect your files. Mr. Giles explains how to encrypt your entire file system rather than individual files.
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Graphical Desktop Korn Shell
by George Kraft IV
The Graphical Desktop Korn Shell (DtKsh) is a featured part of the Common Desktop Environment (CDE). DtKsh provides a consistent and reliable graphical Motif shell language that is supported on all CDE-compliant systems.
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A SCSI Test Tool for Linux
by Pete Popov
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Introducing Samba
by John Blair
When you need to network your Linux box with Windows, Samba is the way to do it.
Reviews
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Softfocus BTree/ISAM v3.1
by Edmund P. Morgan
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Insure++
by Jim Nance
WWWsmith
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At the Forge Combining Apache and Perl
by Reuven M. Lerner
Columns
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Letters to the Editor
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Stop the Presses
COMDEX/Spring 1998
by Jon “maddog” Hall
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Take Command lex and yacc: Tools Worth Knowing
by Dean Allen Provins
lex and yacc: Tools Worth Knowing Today, computers can talk and they can listen—but how often do they do what you want?
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New Products
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Kernel Korner Miscellaneous Character Drivers
by Alessandro Rubini
Miscellaneous Character Drivers Mr. Rubini tells us how to register a small device needing a single entry point with the misc driver.
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Linux Gazette The Yorick Programming Language
by Cary O'Brien
The Yorick Programming Language Yorick is an interpreted language for numerical analysis used by scientist on machines from Linux laptops to Cray supercomputers.
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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
- 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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