Jigsaw: A Revolutionary Web Server for Linux
The Jigsaw Web Server is designed to be a demonstration in technology rather than a full-fledged release. Initially, it was intended as a project to experiment new technologies. However, as of Jigsaw 2.0, the server broke the rules of test platforms to be more robust than the average web server, making it worthwhile to take a serious look at its features, potentials and possible future deployment.
The design philosophy of Jigsaw is to make it as portable, flexible and extensible as possible, while still providing a functional and robust web server. The design goals are met by having the Jigsaw server run within any Java-supported environment.
At its core, having an object-oriented design and implementation, Jigsaw is nothing more than a set of Java classes and extension modules. Therefore, adding capabilities to the server is not complicated. We can dynamically add our own modules where every resource available to the server is an object, as opposed to a CGI script, and any object is available to end users via HTTP. The server can thus be extended by writing new resource objects. This is the replacement for CGI, where server extensions have to be written as processes. Jigsaw also supports CGI for use with existing CGI scripts.
Jigsaw's developers emphasize providing a well-structured source code, a full set of core Application Program Interfaces (APIs) and a high-quality set of documentation.
These factors offer a complete experimental platform that can be used by as many researchers as possible. This contributes to the success of Jigsaw as an open-source project providing a valuable draft to the future of the HTTP protocol and object-oriented web servers.
The Jigsaw server runs on any platform supporting Java. It has been tested on Windows 95/NT and Solaris 2.x. Many people have also reported successful installation and use on other platforms such as OS/2, MacOS, BeOS, Linux, AS-400 and AIX. I installed the Jigsaw server on two workstations powered by Red Hat 6.1 and 6.2, with JDK 1.1.8 and JDK 1.2.2 respectively, and in both cases it worked fine.
To install the Jigsaw server, you need to have JDK installed on your system. Downloading the latest version from http://java.sun.com/ is recommended.
After installing JDK, you need to set up the PATH permanently in the startup file to have access to the JDK bin directory. If you are using the C shell, edit the ~/.cshrc file in your home directory and add the following line:
set path=(/usr/local/jdk1.2.2/bin $path)
Please note that you need to change the path according to your own installation path. Then load the startup file ~/.cshrc to activate the changes just applied.
% source ~/.cshrcNow you will be able to access the Java binary directory without typing the full path.
The latest (non-stable) distribution, Jigsaw 2.1.1, can be downloaded from the W3C home page. It contains the Java source code, the documentation and the pre-compiled classes. The 2.1.1 version, released in March 2000, includes new features such as XML-based serialization, Servlet 2.2 implementation, a new RFC2616 compliant cache, image metadata extraction using content negotiation, as well as digest authentication and ACL-based authentication.
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.
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