Beginner's Guide to JDK
JDK includes many examples in addition to the applets and applications. Change the current path to /usr/local/jdk1.1.3/demo/ and you will see the numerous directories containing examples in this directory. Some of the examples include Tic-Tac-Toe, a graphics test and a molecule viewer.
To run Tic-Tac-Toe, use your web browser to open the file /usr/local/jdk1.1.6/demo/TicTacToe/example1.html.
The graphics test is located in jdk1.1.6/demo/GraphicsTest/. It is noteworthy for having been written to be executed as both an application and an applet.
The molecule viewer is an applet located in jdk1.1.6/demo/MoleculeViewer/. I mention it just because it is cool—it shows off the power of Java.
The company I work for, Visualize, Inc. (http://www.visualizetech.com/), specializes in high-end data-graphing software also known as data visualization. Our products all derive from our core library called VantagePoint. VantagePoint is 100% Pure Java certified. Writing our products in Java allows us to develop the software once, then run it on any platform for which Java has been ported. In practice, our customers have encountered few problems with the products as a cross-platform software package. In fact, the earliest version of VantagePoint was developed completely on Linux. Linux still plays an important role in our company.
VantagePoint products, as a graphing solution, view the world as data sets. The possible operations on a data set are graphing, loading and analyzing. After an analysis has been performed on a data set, it is possible to do any of these operations again. A useful sequence of operations is opening and loading a data set, graphing the data to get a visual representation, analyzing the data and then graphing the result of the analysis.
One VantagePoint product, DP Server, is a manager for any data sets you may have. It also allows connections from applets running in a web browser on either an Intranet or the Internet.
Now, go to the page at http://www.visualizetech.com/lj/. Follow the link to “Linux Statistics”. This page, which looks like Figure 1, starts a Java applet that connects to a DataPoint Server to show a two-dimensional line chart. It is updated regularly with each update showing the current CPU usage on the Linux web server. During this particular snapshot, the Linux box had just finished compiling the HelloLinux.java program.
Java is a boon to the software development industry. Java and Linux offer the best combination the computer industry has to offer: a free, dependable operating system and a platform-independent software language.
Gordon Chamberlin is a programmer and system administrator for Visualize, Inc., in Phoenix, AZ. He was introduced to Linux at 1.2.x and quickly bought a 486 to be able to use Linux at home. He enjoys playing computer games, especially Descent II and spending time with his wife, Barbara. Please send comments, questions or jokes to firstname.lastname@example.org.
Practical Task Scheduling Deployment
July 20, 2016 12:00 pm CDT
One of the best things about the UNIX environment (aside from being stable and efficient) is the vast array of software tools available to help you do your job. Traditionally, a UNIX tool does only one thing, but does that one thing very well. For example, grep is very easy to use and can search vast amounts of data quickly. The find tool can find a particular file or files based on all kinds of criteria. It's pretty easy to string these tools together to build even more powerful tools, such as a tool that finds all of the .log files in the /home directory and searches each one for a particular entry. This erector-set mentality allows UNIX system administrators to seem to always have the right tool for the job.
Cron traditionally has been considered another such a tool for job scheduling, but is it enough? This webinar considers that very question. The first part builds on a previous Geek Guide, Beyond Cron, and briefly describes how to know when it might be time to consider upgrading your job scheduling infrastructure. The second part presents an actual planning and implementation framework.
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With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide