Distributed processing network

Abstract

A computer-implemented apparatus for a distributed processing network includes: a processing unit that is configured to perform a primary function; a metadata rules set that is configured to store information related to options for the performance of the primary function; a message receptor that is configured to receive a message from an external source; a message parser that is configured to parse a received message and to translate the received message to a binary form capable of being recognized by the processing unit; a message constructor that is configured to construct an outbound message based at least in part on performance of the primary function by the processing unit; a data structure that is configured to store state information and to permit a value of the state information to be set by the processing unit; and a message transmitter that is configured to transmit the outbound message.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to, and the full benefit of, U.S. patent application Ser. No. 12 / 870,348, filed on Aug. 27, 2010, which in turn claims priority to, and the full benefit of U.S. Provisional Patent Application number 61 / 237,922, filed on Aug. 28, 2009, each of which applications are incorporated fully herein by reference.TECHNICAL FIELD[0002]The present invention relates to the integration of software applications within the Information Technology (IT) infrastructure of companies of all sizes and more particularly, to a system and method for providing holistic, real-time control of such software application.BACKGROUND INFORMATION[0003]Since the 1950s, the world of high tech has been promising, or threatening, that computers would provide significantly increased Return On Investment (ROI) and measurable competitive advantage to those companies wise enough to invest heavily in computers within the infrastructure of their busi...

AI Technical Summary

Benefits of technology

The invention allows companies to share data across different applications without physically integrating them. This is beneficial because it can save money and reduce complexity. The invention peers into systems and retrieves information that is considered actionable intelligence, which is then displayed on a Heads Up Display over the application without changing the application. This allows companies to stay updated with the latest releases of the application without having to rewrite customized screens. Overall, the invention achieves the benefits of integration without the associated expense and complexity.

Problems solved by technology

While most Fortune 500 companies bought into this assertion, few if any of them saw any significant increase in productivity, return on investment, or competitive advantage.

The reputation of IT in general sagged through these years and IT became known for delivering applications that were too expensive to create and maintain completing systems late, and short of the specification goals committed to.

Business's response to this was to get tough with funding and only implement industry standard systems.

The business units paying the tab required specific customizations, but these were functional business units that were not motivated to look at the bigger picture of the needs of the corporation, and thus only implemented parochial rather than universal solutions.

Sales people had no idea as to the financial health of a prospect, because that information was stored in a system (an internal accounting system perhaps) that was not available to them.

This approach lacks the real time aspect of a neural network approach of distributed intelligence, and mostly disregards the modeling of what is important to watch in the IT application and data infrastructure.

Wikipedia states in its Enterprise Application Integration entry that most EAI projects fail.

Documentation falls by the wayside early, and disaster strikes imminently.

The expense is in moving the data to a central source and sharing of that data and provide appropriate data access.

This is horrifically expensive: doubling the cost of storage and burdening the network with the need to constantly synchronize transaction data.

No business policy can be introduced to the system without first defining the desired behavior the architect wishes to promulgate.

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