Software engineers should look to their hardware counterparts for approaches to managing complexity. Before the advent of Integrated Circuits, electronic circuits were generally complex creatures with many interconnected discrete components. The complexity of the circuit was visible, difficult to manage and adversely affected the cost of products. With the advent of ICs much of this complexity was hidden inside the chips themselves. The job of designing complex functionality into products became much easier.
Despite many attempts over the years, software design has never been able to replicate this IC design paradigm. The advent of object-oriented programming languages and tools was supposed to address some of these issues. While object-oriented design offers some significant improvements in areas such as GUI programming it doesn't always do a great job of hiding complexity. In fact, they often simply shift the complexity into other areas in the software development chain such as testing, toolsets, class library design or the learning curve.
Modern hardware design requires a complex skillset. What the advent of ICs did, however, was allow the hardware designer to use a given chip in a product design without having to understand the exact physics and layout of the circuits contained within the chip itself. As long as the designer conformed to the specs at the external interface to the chip (pins) the chip will react in a very predictable manner. This is what encapsulation of complexity offers: complexity hiding and predictable/reproducible behavior. Objects in software design offer partial complexity hiding, but the software designer often still has to know and master a complex language (e.g., C++) in order to be able to wire objects together into a product. Objects are very poor at providing predictable and reproducible software behavior. Furthermore, the language of the objects themselves often dictates the language used to “wire them together”. In our opinion, true encapsulation of complexity behind a universally simple and extendable API is what is required to produce a software IC. The software designer should not have to master a complex object-oriented language and toolset in order to be able to “wire together” these software ICs. At the very least the software designer should be able to choose the wiring language independent of the chip language.
Many RTOSes have pioneered the use of user-space processes as an encapsulation scheme. One of the oldest to use this scheme is QNX TM (http://www.qnx.com/). Since 1980, QNX has released a continuous series of innovative OSes that were based upon a set of cooperating processes all using a Send/Receive/Reply messaging paradigm. QNX's approach to kernel design differs greatly from that used in Linux and we do not wish to reinflame the infamous microkernel vs. monolithic kernel debate. Suffice to say that we believe that the process model and the Send/Receive/Reply messaging paradigm first pioneered by QNX offers the key ingredients of a successful software IC.
In most modern operating systems, including Linux, the process is a very robust computing entity. There are several layers of protection offered to a process and the resources it embraces when running on a processor. It is very difficult for two processes to inadvertently adversely affect one another. If a given process encounters a fatal bug and crashes, it is rare that the entire system will be compromised. So the userispace process in Linux offers us a great container for our software IC. Now all we need is the software analog of the pins. This is where the messaging paradigm comes in.
One of the most powerful message formats is also one of the simplest. We can view a message as simply a collection of bytes. This collection of bytes is divided into two parts. The first field of bytes which is of fixed length is always present in every message and taken together, these bytes represent a unique message identifier called a token. The balance of the message (which can be of variable length) represents the token context-sensitive data. When two processes wish to exchange such messages they simply agree on a token scheme and on the format for each tokenized message they want to exchange. The interprocess message transport layer need not be concerned at all with the message content.
Practical Task Scheduling Deployment
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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|The Firebird Project's Firebird Relational Database||Jul 29, 2016|
|Stunnel Security for Oracle||Jul 28, 2016|
|SUSE LLC's SUSE Manager||Jul 21, 2016|
|My +1 Sword of Productivity||Jul 20, 2016|
|Non-Linux FOSS: Caffeine!||Jul 19, 2016|
|Murat Yener and Onur Dundar's Expert Android Studio (Wrox)||Jul 18, 2016|
- The Firebird Project's Firebird Relational Database
- Stunnel Security for Oracle
- My +1 Sword of Productivity
- SUSE LLC's SUSE Manager
- Non-Linux FOSS: Caffeine!
- Managing Linux Using Puppet
- Murat Yener and Onur Dundar's Expert Android Studio (Wrox)
- Parsing an RSS News Feed with a Bash Script
- Google's SwiftShader Released
- Doing for User Space What We Did for Kernel Space
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