Grid Computing Network Software Module Segmentation
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Solution Overview
Problem
Current grid computing networks face bottlenecks in loading and updating computing modules due to strict API limitations and the need for manual dependency management, which increases network load and human error, and requires interrupting client node operations for core software updates.
Innovation Solution
Coding computing modules and core programs as data bundles with independent packages that can activate and reuse components from other modules, allowing for non-bundled data transmission and automatic dependency management, enabling seamless updates without interrupting operations and reducing network load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computing modules are transmitted as bundled data from server to client nodes, then all necessary components are delivered together, but network load increases and update time is extended
Solution Approach 1:
The patent segments computing modules into independent packages that can be transmitted separately. Instead of sending complete bundled modules, the system transmits only necessary individual packages from server to client nodes, reducing network load while ensuring all required components are delivered.
Solution Approach 2:
The patent implements preliminary action by having client nodes automatically determine and retrieve necessary packages before computing tasks are executed. The client node analyzes the computing module, identifies required packages, and pre-loads them from the server or local storage, ensuring completeness without waiting for bundled transmission.
2Measurement precision
If manual dependency management is implemented, then precise control over package dependencies is achieved, but human errors increase and operation time is extended
Solution Approach 1:
The patent implements self-service by enabling client nodes to automatically determine their own package dependencies. The client node analyzes computing modules, identifies required packages, and retrieves them autonomously without manual intervention, eliminating human errors while maintaining precise dependency control.
Solution Approach 2:
The system uses feedback mechanisms where client nodes continuously monitor their package inventory against computing module requirements. When dependencies are identified, the system automatically requests and installs necessary packages, creating a closed-loop dependency management system that is both precise and automated.
3Reliability
If core software updates are performed, then system functionality is improved, but client node operations must be interrupted
Solution Approach 1:
The patent segments the core software into separate updatable packages that can be installed independently. This allows specific software components to be updated without requiring a complete system shutdown, maintaining computing continuity while improving software currency.
Solution Approach 2:
The system implements dynamic update capabilities where software packages can be installed and activated during runtime. The client node can load new packages into memory and switch between package versions without interrupting overall operations, enabling seamless software updates.
4Stability of the object's composition
If strict API limitations are enforced, then system stability is maintained, but adaptability of computing modules is reduced
Solution Approach 1:
The patent segments the system into standardized package units with well-defined interfaces. Each package maintains stable internal composition while the package manager provides flexible orchestration, allowing new packages to be added without disrupting existing stable components.
Solution Approach 2:
The system implements universal package interfaces that work across different computing modules and scenarios. The standardized package structure and dependency management mechanism provide adaptability for various computing tasks while maintaining system stability through consistent interface contracts.
Data Source
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AI summary
A grid computing network comprising a server node and several client nodes, of which at least one client node comprises a core program to manage the computing modules of the client node, said computing modules being coded as data bundles comprising independent packages, said packages being executable by the core program independently. The core program is also coded as a data bundle comprising individual packages, wherein one single package of the computing module or the core program can be activated for other computing modules of the client node for the computing task of said computing module.