6-Workgroup Hierarchical Cores for Fail-Safe Real-Time Computing
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Solution Overview
Problem
Current networkable object-oriented Operating-System-based parallel-processing application systems face security vulnerabilities like 'Meltdown' and 'Spectre', provide only coarse-grained reactive services, lack real-time adaptability, and suffer from unresolvable transactional security and privacy dilemmas due to non-evolving node-computing architectures.
Innovation Solution
Implement a workgroup-based Evolutionary Computing Paradigm (wECP) with a 3-hierarchical-level 6-workgroup-Basic-Building-Block structure, incorporating fail-safe hardware and software architectures to create real-time intelligent computing systems capable of fine-grained proactive services and secure, reliable, and proactive Internet-oriented services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If node-computing architectures are used, then system simplicity is maintained, but security vulnerabilities (Meltdown, Spectre) and lack of real-time adaptability occur
Solution Approach 1:
The system is divided into multiple workgroup computing entities organized in hierarchical structures (workgroup cores, zones, clouds). Each entity operates semi-independently with its own control logic, enabling security isolation while maintaining overall system functionality. This segmentation allows security issues in one node to be contained without affecting the entire system.
Solution Approach 2:
The workgroup computing entities implement dynamic adaptability through real-time decision-making capabilities and evolutionary computing paradigms. The system can dynamically adjust its behavior, reconfigure workgroups, and adapt to changing conditions, providing real-time responsiveness that static node architectures cannot achieve.
2Productivity
If coarse-grained reactive services are provided, then system complexity is reduced, but fine-grained proactive problem solving capability is lost
Solution Approach 1:
The workgroup computing entities implement proactive problem-solving by anticipating issues before they occur. The evolutionary computing paradigm enables the system to learn from patterns and predict potential problems, taking preliminary actions to prevent issues rather than merely reacting to them after occurrence.
Solution Approach 2:
The system incorporates continuous feedback mechanisms where workgroup entities monitor their own performance and the system state, using this information to make real-time decisions. This feedback loop enables fine-grained control and adaptive problem-solving, allowing the system to adjust its behavior based on actual conditions rather than following fixed reactive patterns.
3Reliability
If traditional operating system-based parallel processing is used, then ease of operation is maintained, but transactional security and privacy dilemmas cannot be resolved
Solution Approach 1:
The workgroup computing entities act as intermediaries between users and the underlying hardware infrastructure. This intermediary layer provides secure transaction handling through its distributed architecture and cryptographic mechanisms, while presenting a simplified interface to users. The workgroup core manages security protocols and privacy protection, shielding users from complex security management.
Solution Approach 2:
The workgroup computing entities implement self-managing capabilities where each entity autonomously handles its own security protocols, authentication, and privacy protection. This self-service approach eliminates the need for centralized security management, reducing operational complexity while maintaining high security standards through distributed autonomous decision-making.
Data Source
AI summary
A workgroup-computing-entity-based fail-safe/evolvable hardware core structure is disclosed which includes a 3-hierarchical-level 6-workgroup-Basic-Building-Block (6-wBBB) created to supplant the node-computing-entity-based non-fail-safe/limited evolvable von-Neumann core structure of 3-hierarchical-level 3-node-BBB, (i.e., base-level IO-devices/mid-level main memory/top-level CPU) and all the first-time fail-safe workgroup systems can be subsequently generated in the second period along the workgroup-computing evolutionary timeline. Furthermore, based on the first 6-wBBB evolvable architecture, the workgroup evolutionary processes can go up to 7 generations in creating all the necessary workgroup-computing entity-based hardware core structures, so that all the real-time intelligent workgroup-computing systems can be generated in the third period along the workgroup-computing evolutionary timeline.