Dynamic Grid Curves for Gasless Token Swaps Under Variable Gas
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Solution Overview
Problem
Traditional resource transfer methods in decentralized systems fail to adapt to dynamic network and computational conditions, leading to inefficiencies, transfer failures, and unmet user requirements due to reliance on static parameters, while decentralized cryptocurrency token swaps face issues like MEV attacks and unpredictable gas fees.
Innovation Solution
Implementing a dynamic grid curve mechanism that adjusts resource allocation and transaction execution in real-time based on current conditions, and utilizing a swap platform that enables gasless decentralized token swaps with MEV protection by internalizing orders and using resolvers to pay gas fees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static transfer parameters are used in decentralized resource transfers, then device complexity is reduced, but reliability deteriorates due to inability to adapt to dynamic network conditions
Solution Approach 1:
The patent implements dynamic grid curves that continuously adjust transfer parameters based on real-time network conditions and computational state. Instead of static parameters, the system uses dynamic pricing curves that adapt to changing bandwidth availability, threat levels, and computational load, thereby improving transfer reliability without requiring complex manual intervention
Solution Approach 2:
The system incorporates continuous feedback loops that monitor network conditions, transfer progress, and computational overhead. This feedback drives real-time adjustments to transfer parameters through the grid curve mechanism, enabling the system to adapt to dynamic conditions while maintaining automated operation that limits complexity growth
2Adaptability or versatility
If real-time dynamic adjustment of transfer parameters is implemented, then adaptability improves, but device complexity increases due to continuous monitoring and adjustment requirements
Solution Approach 1:
The system implements self-service through automated grid curve adjustment mechanisms that autonomously respond to changing conditions. The dynamic pricing curves automatically adapt transfer parameters based on monitored network state and computational overhead, eliminating the need for manual intervention and reducing operational complexity despite enhanced adaptability
Solution Approach 2:
The patent employs parameter changes through dynamic grid curves that modify transfer pricing and allocation parameters in real-time based on network conditions. This allows the system to adapt to varying environments by continuously adjusting key parameters while using standardized algorithms that prevent complexity from escalating
3Productivity
If traditional static transfer methods are used, then ease of operation is maintained, but productivity deteriorates due to transfer failures and unmet user requirements
Solution Approach 1:
The system performs preliminary actions by pre-calculating dynamic grid curves based on current network conditions and computational state before transfers begin. This preliminary setup optimizes transfer parameters in advance, improving productivity while maintaining operational simplicity through automated pre-computation that eliminates manual parameter tuning
4Reliability
If decentralized token swaps with dynamic pricing are implemented, then reliability improves by protecting against MEV attacks, but device complexity increases due to additional security mechanisms
Solution Approach 1:
The patent introduces an intermediary mechanism through dynamic grid curves that mediate between users and the decentralized swap execution. This intermediary layer provides MEV protection by adjusting pricing dynamically to account for potential attacks, thereby improving swap reliability while encapsulating security complexity within the grid curve algorithm rather than requiring complex external security infrastructure
Data Source
AI summary
Systems and methods for transferring resources using dynamic grid curves are disclosed. A system receives a transfer request specifying an input resource type, a target resource type, an amount of input resources, and an identifier of a storage application associated with the user. The system determines a plurality of current transfer rates, each corresponding to a respective blockchain. The system may query each blockchain to determine an on-chain computation overhead for processing the transfer. Utilizing a maximal current transfer rate and the determined computation overhead, the system generates a grid curve representing the amount of target resources available for transfer as a function of time. The system transmits commands to the user device to display the grid curve and requests user validation for the transfer. Upon receiving user validation, the system transmits the grid curve and transfer request data to a plurality of approved operator devices for execution.