Cryptographic Token Minting Surge Detection and Pause
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Solution Overview
Problem
Decentralized computing platforms face computational inefficiencies, particularly in scaling measures of network centrality, such as Shapely values, which become infeasible as the number of nodes increases, leading to poor performance in computations and network value attribution.
Innovation Solution
A process that detects surges in network load, pauses minting for a desired duration to evaluate the value added during the surge, and distributes this value across subsequent mints, using historical instantiation records and transaction data to adjust minting schedules based on surge detection criteria, enabling more efficient allocation of cryptographic tokens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional algorithms are used to compute Shapely values in decentralized computing platforms, then network centrality measures can be calculated, but computational complexity increases exponentially with the number of nodes, making the computation infeasible at scale
Solution Approach 1:
The patent segments the computation of Shapely values by dividing the network into smaller subgroups or clusters, computing centrality measures for each segment separately, and then aggregating the results. This breaks down the exponentially complex global computation into manageable local computations, reducing overall computational complexity while maintaining measurement precision.
Solution Approach 2:
The patent implements dynamic computation strategies where the algorithm adapts its approach based on network size and density. For small networks, exact Shapely value computation is performed, while for large networks, approximation algorithms or sampling methods are dynamically selected to balance computational feasibility with measurement accuracy.
2Reliability
If minting operations are performed frequently to allocate cryptographic tokens, then network value attribution can be updated, but network load increases causing computational inefficiencies and performance degradation
Solution Approach 1:
The patent implements periodic minting operations where cryptographic tokens are allocated at predetermined intervals or when specific thresholds are met, rather than continuously or on every transaction. This periodic approach maintains up-to-date network value attribution while significantly reducing network load and allowing computational resources to recover between minting events, thus preserving overall system performance.
Solution Approach 2:
The patent incorporates feedback mechanisms that monitor network load, transaction volume, and computational resource utilization. Based on this feedback, the system dynamically adjusts minting frequency and timing, reducing minting operations when network load is high and maintaining regular attribution updates when resources are available, thereby balancing reliability with computational performance.
Data Source
AI summary
Described processes include: detecting a surge in load or value added to a network based on a threshold number (e.g., 3, 5, or another number) mints are triggered in a row at above a threshold block value target (e.g., 2×, 5×, 10×, or other multiple). In response to detecting a surge, a determination to mint may be timed, like paused, for a desired mint duration, like 24 hours. Thus, in response to detecting a surge, the next mint may be forcefully delayed until the desired minting period transpires after the last mint.