Cryptographic Processing Cluster Load Allocation for Hardware Lifespan

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Solution Overview

Problem

Existing systems fail to optimally exploit computational resources and reduce hardware requirements in computer networks solving cryptographic problems, leading to rapid hardware obsolescence and increased energy consumption.

Innovation Solution

A method and system for managing a group of processing units that involves connecting devices to a network, determining available computing power, calculating the number of remaining cryptographic problem solutions, and allocating resources efficiently using artificial intelligence to optimize computational load distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If continuous hardware updating is performed to increase computational power, then the computational power of nodes is improved, but the hardware obsolescence accelerates and hardware lifespan decreases

Engineering Contradiction:

Improvecomputational powerVSAvoidhardware lifespan

Core Design Contradiction:

PowerVSDuration of action of stationary object

Solution Approach 1:

The patent implements dynamic resource allocation where computational tasks are distributed across multiple hardware components based on real-time performance monitoring. The system adjusts the workload distribution dynamically to optimize the utilization of existing hardware capabilities, thereby extending hardware lifespan while maintaining computational power through software-based load management rather than continuous hardware replacement

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes operational parameters by monitoring hardware performance metrics and adjusting task allocation accordingly. By modifying the distribution of computational parameters across different hardware components based on their actual performance state, the system maximizes the utility of existing hardware before obsolescence occurs

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If mining pools are used to reduce hardware requirements per device, then the hardware requirements for individual devices are reduced, but the competition among devices for cryptographic problem solutions remains unchanged

Engineering Contradiction:

Improvehardware requirementsVSAvoidsolution finding efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent implements a feedback mechanism where the system monitors the performance of individual devices within the mining pool and adjusts the distribution of cryptographic problems based on real-time results. This feedback loop ensures that devices are allocated tasks according to their actual computational efficiency, optimizing the overall productivity of the pool while maintaining reduced hardware requirements per device

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system segments the computational workload into smaller tasks that can be distributed across multiple devices. By dividing the cryptographic problem solving process into manageable segments and allocating them based on device performance, the system maintains the benefits of reduced individual hardware requirements while optimizing collective solution finding efficiency

Inventive Principle:

Principle #1Segmentation

3Ease of operation

If existing scheduling methods are used to manage node operations, then basic operation scheduling is achieved, but computational resources are not optimally exploited and energy consumption increases

Engineering Contradiction:

Improvescheduling capabilityVSAvoidenergy consumption

Core Design Contradiction:

Ease of operationVSUse of energy by moving object

Solution Approach 1:

The patent implements a self-service scheduling mechanism where the system automatically monitors hardware performance and adjusts task allocation without external intervention. The scheduling algorithm autonomously optimizes resource distribution based on real-time hardware state, maximizing computational efficiency and minimizing energy consumption while maintaining ease of operation through automated decision-making

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12579010B2Method and system for managing a cluster of processing units for the solution of a cryptographic problem

Publication Date: 2026.03.17 BITCORP SRL

AI summary

A method for managing a group of processing units configured to solve a cryptographic problem. The method includes a control unit of the group for: connecting to at least one computing devices network which collaborate in the search for a solution to a cryptographic problem by calculating possible solutions to the problem, determining a computing power available for each processing unit of the group; calculating a computing power of the group, based on the available computing power of each processing unit of the group, determining possible remaining solutions of the cryptographic problem which are to be calculated by the computing devices network, determining whether the computing power available of the group allows calculation of the possible remaining solutions in a predetermined time, and in the affirmative case, allocating the computing power available in the group of processing units to the calculation of the solution of the cryptographic problem.