Computer processing method, distributed calculating method, and net calculating method

Abstract

An approach to computational processing and programming calls for the creation of multiple software entities ("molecules 10") that can be dynamically configured to autonomously process data. Molecules can send and receive signals that indicate the state of the molecule, whether the processing task is complete, the result of the processing task, and whether to terminate, interrupt, reconfigure, or continue the molecule through the creation of one or more "next" molecules. operate. Molecules can be created from a common set of software microcomponents (40, 42, 44, 46, 48), which can be written in any programming language to run in any operating system environment. Molecules can reside with a single computing resource, however, they are ideally suited for deployment with different types of distributed computing resources on a network or in a parallel processing environment. All data processing tasks are performed by creating molecules in "logical networks" that are dynamically adapted to accomplish their tasks. Logical networks can be allocated to work with different legacy systems, and applications programmed in different languages, and with any type of data stored in any format. As a result, data processing tasks in distributed or parallel processing environments can be performed more efficiently and entirely new types of network computing or parallel processing tasks can be adopted.

Description

technical field [0001] This invention relates generally to computer processing and programming methods, and more particularly to methods using novel autonomous data processing machines. Background technique [0002] Computer processing has evolved from its original theoretical foundations to its current form as a machine-oriented one, where machine instructions are executed by a central processing unit (CPU) to transform raw data and input in successive steps into useful output. To achieve ever more complex tasks involving ever larger amounts of data, computer hardware has grown exponentially in speed, power, capacity, and is now approaching the physical limits of the atomic scale and the speed and wavelength of light. Programming of complex tasks by linear programming methods requires intensive coding, which may require millions of lines of code and is susceptible to bugs and cross-code conflicts, both of which may require intensive debugging. Naturally there is also a nee...

AI Technical Summary

Problems solved by technology

However, the distributed computing styles to date also require rigorous programming and collaboration to achieve comparable results, using the same linear programming approach and centralized management and control

Errors in one or more individual processing jobs or time delays associated with communication or collaboration managed using centralized processing can create bottlenecks that affect the effectiveness of this approach

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