Distributed Intelligence Network for Modular Processor Control
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Solution Overview
Problem
Conventional computer systems face challenges in maximizing processor utilization, achieving concurrent processing, and modular flexibility, particularly in managing interconnections of automated components, leading to inefficiencies and limitations in handling complex tasks.
Innovation Solution
A multiprocessor, multiprogrammable computer system with a distributed intelligence network where each node contains its own processor, allowing for concurrent processing and self-management, with a 'brain' issuing higher-level commands and enabling modular addition or removal of peripheral devices without significant impact on other processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a central processor is used to manage input/output operations, then control is centralized and simple to implement, but processor utilization decreases and processing time increases
Solution Approach 1:
The system divides the computer into multiple independent processors (central processor, peripheral processors, I/O processors) that can operate concurrently. Each processor handles specific tasks independently, eliminating the bottleneck of centralized control and maximizing overall system productivity through parallel processing.
Solution Approach 2:
I/O processors act as intermediary components between the central processor and peripheral devices. These dedicated I/O processors handle input/output operations independently, allowing the central processor to focus on computation while maintaining efficient data transfer through specialized intermediate processing units.
2Productivity
If peripheral devices are fully utilized with concurrent processing, then system productivity increases, but device complexity and interconnection management increase
Solution Approach 1:
The system segments control functions by assigning dedicated peripheral processors to manage groups of peripheral devices. This segmentation allows concurrent processing of multiple devices while simplifying interconnection management, as each peripheral processor independently handles its assigned devices without requiring complex centralized coordination.
Solution Approach 2:
Peripheral processors serve multiple functions: they manage peripheral devices, handle data buffering, perform preliminary data processing, and coordinate with both the central processor and I/O processors. This multi-functionality reduces the need for specialized components and simplifies the overall system architecture while maintaining high productivity.
3Adaptability or versatility
If the system is highly modular to allow easy addition or subtraction of peripheral devices, then adaptability increases, but system complexity and control management difficulty increase
Solution Approach 1:
The system is organized into modular segments (central processor, peripheral processors, I/O processors, and peripheral devices) that can be independently added or removed. Each peripheral processor manages a specific group of devices, allowing modular expansion without requiring changes to the central processor or other peripheral processors, thus maintaining simplicity while enhancing adaptability.
4Reliability
If the central processor continuously monitors and manages all peripheral devices, then system control is tight and reliable, but the central processor cannot be fully utilized for computation
Solution Approach 1:
Control responsibilities are segmented and distributed to peripheral processors that manage specific peripheral devices. This segmentation allows the central processor to focus on high-level computation and coordination, while peripheral processors handle device monitoring and control, ensuring both reliable system control and maximum central processor utilization through concurrent operation.
Solution Approach 2:
Peripheral processors act as intermediary control units between the central processor and peripheral devices. They maintain reliable device control independently while communicating with the central processor only when necessary, allowing the central processor to remain fully utilized for computation without compromising system control reliability.
Data Source
AI summary
Distant semi-autonomous systems containing their own processors and are capable of thinking for themselves, and to some extent, controlling lower functions is provided herein. These semi-autonomous systems may be referred to as “nodes”. The network is not dependent on actual protocol or network topology. The brain, one or more central multiprocessors, is only tasked with issuing simpler, higher-level commands such as “faster” or “slower”, or “execute a grabbing motion”. These commands are then interpreted and executed by the nodes.


