In the last post, I wrote all about portals, and how they can be used to build up a hierarchy of communicating KnowledgeScapes for performance, reliability and access control. In this post I want to introduce a little bit of magic with regard to distributed computing and performance. When you configure your KnowledgeScape cluster, you define KnowledgeScapes on the machines on which they will run. From the user interface, you can also define "slaves". Read more...

In part 1, I introduced the concept of a portal between two KnowledgeScapes. The portal allows you to effectively import objects from one KnowledgeScape and use them as if they were local. This allows for some nice things. Read more...

In my last post, I started to outline some of the problems that distributed computing can solve. In this post I will give some specific examples in process control, and start to layout the first part of the solution using KSX. Read more...

This post is the first in a multi part series about performance and distributed computing strategies with KSX. First I would like to provide a little background information to help frame the problem, and the various solutions that KSX can offer. You may be familiar with Moore's law, or if not, you are familiar with its results. Read more...

The global marketplace for materials and services requires providers to continually seek improvements in efficiency to maintain their competitive position. Advanced control systems, such as expert systems, adaptive control and adaptive control with learning capabilities, yield substantial increases in processing efficiency when properly implemented. Read more...

Since the first experiments with computerized expert control of grinding plants in the early 1970’s expert control has steadily progressed in the minerals industry to be very advanced, including not only many artificial intelligence methodologies but advanced computing and measurement systems. A 1970’s expert system will be compared with the latest systems used in the industry along with performance comparisons. Read more...

KSX has a unique distributed computing architecture. The process control or business rules of an organization can be broken down into individual units. Each unit of business intelligence is then modeled in its own KnowledgeScape, which runs as its own autonomous process. Any KnowledgeScape can communicate with one or many other KnowledgeScapes to share information, provide higher level rules or to provide additional processing power for data mining, modeling or optimization. Read more...

KSX can distribute its computational load over a local area network, or an internet virtual private network. This allows the user to configure as many neural networks and optimizers as desired and run them in parallel in real time and on-line. Each neural network and optimizer can be assigned to a client machine when it is started, or KSX can determine the client with the least CPU load and distribute the task to that machine.