Distributed Network Workload Balancing via Blockchain Value Units
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Solution Overview
Problem
Current cryptocurrency systems lack a viable asset foundation for collateralization, leading to unstable value and high transaction costs, and are hindered by scalability issues and complexity in investment and data management, with existing solutions being hardware-intensive and prone to errors.
Innovation Solution
A computer-implemented method for automated workload balancing of hardware resources in distributed networks using global technical value units, which estimates computational effort for data mining and facilitates fair information exchange and load balancing, enabling efficient data processing and knowledge sharing without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cryptocurrency systems are used for data exchange, then value representation is enabled, but asset foundation stability is lacking leading to volatile values
Solution Approach 1:
The patent introduces a blockchain-based intermediary layer that mediates between data exchange activities and value representation. This blockchain infrastructure acts as a trusted mediator that records and verifies computational contributions, creating stable value representations through decentralized consensus rather than relying on traditional volatile cryptocurrency markets.
Solution Approach 2:
The system implements feedback mechanisms where computational contributions are continuously measured, verified, and reflected in value adjustments. The blockchain records create a feedback loop that stabilizes values by systematically tracking and rewarding actual computational work performed in data mining and processing activities.
2Productivity
If hardware resources are intensively used for data processing, then data processing capability is improved, but transaction costs increase
Solution Approach 1:
The system enables hardware resources to self-report and self-verify their computational contributions through the blockchain infrastructure. Each processing node automatically records its own computational work and receives corresponding value compensation, eliminating the need for expensive intermediary transaction verification and reducing overall transaction costs.
Solution Approach 2:
The patent changes the fundamental parameter of value measurement from market-driven cryptocurrency prices to computation-driven technical value units. This parameter transformation decouples value representation from volatile financial markets and directly ties it to measurable computational effort, thereby reducing transaction costs associated with market speculation and price volatility.
3Reliability
If manual processes are used for knowledge extraction, then data accuracy is maintained, but automation level is low leading to human error
Solution Approach 1:
The patent replaces manual mechanical processes with automated computational processes that operate on the blockchain infrastructure. Automated algorithms extract and verify knowledge from data sources, with the blockchain providing immutable verification of these processes, thereby maintaining accuracy while achieving high levels of automation without human error.
4Productivity
If distributed networks are used for data processing, then processing power is increased, but load balancing is difficult to achieve
Solution Approach 1:
The blockchain infrastructure provides real-time feedback to all distributed nodes about the state of the network and individual contribution levels. This feedback mechanism enables automatic load balancing as nodes can see the current workload distribution and adjust their participation accordingly, with the blockchain recording and verifying these adjustments transparently.
Solution Approach 2:
The patent creates a universal blockchain-based value system that works across all types of distributed network configurations and data processing tasks. This universal framework simplifies load balancing by providing a common language and verification mechanism that works regardless of the specific network architecture or processing requirements.
Data Source
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AI summary
The present invention is directed towards an automated computer-implemented method for creating a superior information item exchange framework assigning an information item a value as a function of its technical creation effort. In this way knowledge exchange is fostered and the extraction and creation of knowledge items is motivated. Hence, knowledge exchange is increased in technical infrastructures. For instance robot entities may extract knowledge items, share them over a network and thereby collaborate towards joint large scale data analysis. Global technical value units are suggested that measure efforts of hardware resources for generating or extracting information and consequently it is possible to balance hardware workload in distributed networks. The suggested method is able to automatically perform technical processes such that firstly no human ado is required and secondly the resulting data is not prone to errors. The method suggests iterations on evolving data sets and hence a bias is excluded or at least minimized in each iteration. The invention is furthermore directed towards a respectively arranged system along with a computer program product and a computer-readable medium.