Code Freeze
From: Linus Torvalds torvalds@cc.helsinki.fi Newsgroups: comp.os.linux.announce Subject: Approaching 1.2.x, I hope Date: 30 Jul 1994 02:05:45 +0300
I'm slowly making ready for something looking like a code-freeze for 1.2.x, and that means you can all start doing your favorite pre-release stuff: doing weird things to the latest kernels and seeing how they break. And maybe even sending me in a report (or patches if you feel like it).
The latest kernel right now is 1.1.36 (but they have changed daily) and contains the “mprotect()” system call that some people have been asking for. The last kernels have gone through major re-organizations in the memory manager, so we'll see how well it works out. Also, I wrote the mprotect stuff from scratch instead of using any of the old patches, so that's rather untested. If you have something depending on mprotect, do give this one a try.
(Aside: The mmap() interface still doesn't allow shared writeable mappings, but now you can do a shared read-only map and then “upgrade” it with mprotect(). That's not supposed to work, but I didn't bother to put in the extra checks, as I hope to have real write-mappings working some day. Going through mprotect is likely to give bogus results, etc; don't even try it as the kernel may do strange things.)
Lots of other stuff has also changed in the 1.1.x releases; sorry for not doing release-notes, but I'm too lazy. Essentially everything is faster, bigger and better, but it may be a bit unstable which is why I'd like people to test it out. The credit goes to everybody who has written code and tested so far (including, but not limited to Alan Cox, Eric Youngdale, Mark Lord, Jacques Gelinas, Hannu Savolainen, Frank Lofaro, Rik Faith, Bjvrn Ekwall, Remy Card, Dmitry Gorodchanin...,the list goes on forever).
Anyway, I hope 1.1.40 (or 1.1.50 or whatever) will turn out stable enough to be called 1.2.0 so that people who want to use mainly stable kernels know which version to get. Sadly, everything always works perfectly for me, so in order to find the problems some outside help is needed.
—Linus
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
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Designing Electronics with Linux
- New Products
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Using Salt Stack and Vagrant for Drupal Development
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
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?




7 hours 3 min ago
7 hours 37 min ago
8 hours 35 min ago
9 hours 25 min ago
13 hours 27 min ago
17 hours 15 min ago
17 hours 23 min ago
19 hours 37 min ago
22 hours 7 min ago
1 day 8 hours ago