First UNIX/Linux National Competition Held in Ljubljana, Slovenia
Thirteen competitors entered this year. They had 90 minutes to solve all exercises using pencil and paper. They were allowed to use all available literature, but did not have access to a computer to test their solutions. Therefore, the committee decided to judge favorably all solutions exhibiting the correct ideas, even if they were not written syntactically error-free. After reviewing all submitted solutions, the committee decided to award prizes to the following three contestants:
Andraz Tori
Mitja Bezget
Gasper Fele-Zorz
The average quality of the submitted solutions suggests that despite all the publicity Linux received during the last year, high school students are not particularly familiar with the tools from the UNIX/Linux programming environment. This is a pity, since we believe that the many strong scripting languages and modular tools are one of Linux's advantages over its competitors.
The analysis of the anonymous questionnaire which the competitors were asked to fill in also yielded some interesting results. The competitors were asked questions about their own computing environment, to classify the exercises on a scale of 1 to 5 from “easy” to “difficult” and to give suggestions. Some found the limit to scripting languages too restrictive. An interesting response came from a competitor who considered the exercises would be simple “provided that C or C++ could be used”.
This calls for a comment. Every exercise is easiest to solve in a language one is familiar with. Anybody familiar with both C and some scripting language would probably agree that these exercises can be solved in the latter with much less effort. This was intentional. What wasn't intentional is that we discovered the fact that high school students hardly touch on any scripting language at all and are thus unaware of their benefits. Rapid prototyping, for example, is quickly and easily accomplished from readily available tools. This is a complement rather than a replacement for the compiled languages. If speed is truly important, a successful prototype is normally followed by a compiled version, usually distinguished by much faster execution. In practice, both approaches coexist, while in our schools, one seems to have a complete dominance.
Last but not least, the title of this competition also probably deserves a comment. UNIX, or Linux in its narrower sense, denotes the operating system kernel. Kernel-level exercises were not part of this competition and, given the limited time and resources available to competitors, would not be feasible at this moment. It would be honest to admit that in the trade-off between short and catchy names and long and precise ones, we have leaned towards the former. Who knows—perhaps the extra room we have created for ourselves will even prove useful at some later time.


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
- 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
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- New Products
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?




1 hour 20 min ago
1 hour 21 min ago
2 hours 6 min ago
2 hours 55 min ago
3 hours 18 min ago
4 hours 55 min ago
4 hours 57 min ago
6 hours 50 min ago
9 hours 39 min ago
14 hours 53 min ago