Linux Journal Contents #26, June 1996
Linux Journal Issue #26/June 1996
Features
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Money Management under Linux
by Curt Olson
Discover CBB, the checkbook balancing utility for Unix and X11 developed under Linux.
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Linux on Mobile Computers
by Kenneth E Harker
Taking your Linux workstation wherever you go.
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Using SmartWare Plus to Build the Integrated Office
by Phil Hughes
Angoss offers a suite of applications for running today's office.
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Scheduled Activity: cron and at
by John Raithel
These Linux utilities can make your computer do the right thing at the right time.
News and Articles
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UniForum '96
by Belinda Frazier
This Unix and Open Systems trade show report
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An Introduction to Rlab
by Ian Searle
A computational tool for scientific and engineering applications
Columns
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Letters to the Editor
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From the Editor
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Kernel Korner
Dissecting Interrupts and Browsing DMA
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Linux in the Real World
Linux in the U.S. Army, or How I Spent My Winter Vacation
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Product Review
Caldera Network Desktop Version 1.0
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Product Review
Acucobol
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New Products
Directories & References
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| 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 |
| Android's Limits | Jun 04, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Linux Systems Administrator
- Introduction to MapReduce with Hadoop on Linux
- Senior Perl Developer
- Technical Support Rep
- Weechat, Irssi's Little Brother
- UX Designer
- One Tail Just Isn't Enough
- Android's Limits
- http://www.pldhs.com/
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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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