teslashibe
commented
3 months ago Example code for utility: inspirational only and may not be suited to solidity code we will probably end up having this logic on the protocol itself
To reflect the complexity and non-linear relationships described in the whitepaper for utlity functions, we need can adjust the Solidity code examples for Validators, Worker Nodes, and Oracle Nodes. This involves incorporating specific non-linear functions and conditional logic that governs staking requirements and utility calculations, aligned with the performance metrics.
Validators
The utility calculation for Validators will include an exponential function to represent the non-linear relationship between their performance metrics and the staking requirements.
Revised Solidity Code for Validators:
pragma solidity ^0.8.0;
contract ValidatorUtility {
struct Validator {
uint256 stake;
uint256 numTransactionsValidated;
uint256 dataVerified;
uint256 llmOutputsEvaluated;
}
mapping(address => Validator) public validators;
// Performance coefficients, should be settable via governance
uint256 alpha = 1;
uint256 beta = 1;
uint256 gamma = 1;
uint256 lambda = 10; // Sensitivity parameter for performance
// Function to update validator metrics
function updateValidatorActivities(address validatorAddress, uint256 transactions, uint256 verifiedData, uint256 outputsEvaluated) public {
Validator storage v = validators[validatorAddress];
v.numTransactionsValidated += transactions;
v.dataVerified += verifiedData;
v.llmOutputsEvaluated += outputsEvaluated;
}
// Non-linear utility calculation using exponential function
function calculateUtility(address validatorAddress) public view returns (uint256) {
Validator storage v = validators[validatorAddress];
uint256 performanceScore = alpha * v.numTransactionsValidated + beta * v.dataVerified + gamma * v.llmOutputsEvaluated;
return v.stake * (10 ** (performanceScore / lambda));
}
}Worker Nodes
Incorporate a dynamic adjustment based on computational power and data quality, using an exponential function to simulate the increased utility for higher performance.
Revised Solidity Code for Worker Nodes:
pragma solidity ^0.8.0;
contract WorkerNodeUtility {
struct WorkerNode {
uint256 stake;
uint256 computationalPower;
uint256 dataQuality;
}
mapping(address => WorkerNode) public workerNodes;
uint256 alpha = 1; // Weight for computational power
uint256 beta = 1; // Weight for data quality
uint256 lambdaW = 5; // Sensitivity parameter
// Update metrics for worker nodes
function updateWorkerNodePerformance(address workerAddress, uint256 compPower, uint256 dataQual) public {
WorkerNode storage w = workerNodes[workerAddress];
w.computationalPower += compPower;
w.dataQuality += dataQual;
}
// Non-linear utility calculation
function calculateUtility(address workerAddress) public view returns (uint256) {
WorkerNode storage w = workerNodes[workerAddress];
uint256 performanceScore = alpha * w.computationalPower + beta * w.dataQuality;
return w.stake * exp(performanceScore / lambdaW);
}
// Helper function to calculate exponential
function exp(uint x) private pure returns (uint) {
return uint(keccak256(abi.encodePacked(x))); // Simplified; use actual exp calculation in production
}
}Oracle Nodes
Oracle Nodes' utility will be adjusted for their resource usage with an exponential function to accurately represent the impact of high resource consumption.
Revised Solidity Code for Oracle Nodes:
pragma solidity ^0.8.0;
contract OracleNodeUtility {
struct OracleNode {
uint256 stake;
uint256 resourcesUsed;
}
mapping(address => OracleNode) public oracleNodes;
uint256 lambdaO = 20; // Sensitivity parameter for Oracle Nodes
// Update resource usage
function updateResourceUsage(address oracleAddress, uint256 resourceAmount) public {
OracleNode storage o = oracleNodes[oracleAddress];
o.resourcesUsed += resourceAmount;
}
// Non-linear utility calculation with resource usage
function calculateUtility(address oracleAddress) public view returns (uint256) {
OracleNode storage o = oracleNodes[oracleAddress];
return o.stake * exp(o.resourcesUsed / lambdaO);
}
// Helper function for exponential calculation
function exp(uint x) private pure returns (uint) {
return uint(keccak256(abi.encodePacked(x))); // Simplified; use actual exp calculation in production
}
}General Notes:
- Non-linear Calculations: The use of exponential functions is indicative of the need to model performance sensitivity accurately. In practice, using real exponential calculations is gas-intensive and may require efficient approximation techniques.
- Governance and Parameter Adjustment: Coefficients and sensitivity parameters (
lambda) should be adjustable through governance mechanisms to adapt to network evolution and empirical data.
miquelcabot
Luka-Loncar
mudler
Epic: Refactor and Enhance ProtocolStaking Contract
Description
This epic focuses on refactoring the
OracleNodeStaking.solcontract toProtocolStakingto improve its modularity, incorporate epoch-based reward distribution, and add protocol node fee functionality. The updates will align the contract with the utility functions defined for validators, workers, and oracle nodes based on the heuristics outlined in the[DRAFT]_Technical_Whitepaper_Rev_1.3.pdf.Goals
OracleNodeStakingcontract to achieve better code organization, reusability, and maintainability, rename it toProtocolStakingto reflect our updated code and vision.Problem Statement
The current implementation of the
OracleNodeStakingcontract has the following issues:To address these issues, we need to refactor the
ProtocolStakingcontract into separate contracts, each responsible for a specific functionality. The contract should be updated to consider the following heuristics for each actor:Validator:
Worker:
Oracle Node:
Suggested Implementation
Create separate contracts:
Staking: Handles staking functionality for validators, workers, and protocol nodes.UtilityTracker: Tracks the utility of each actor based on the defined heuristics.EpochRewards: Handles reward distribution logic for each epoch.ProtocolFees: Handles fee logic for oracle nodes, oracle nodes must pre-pay fees that are deducted as they use the protocol.Update the
ProtocolStakingcontract:Implement utility tracking:
Update staking and withdrawal:
stakefunction to consider the utility of each actor based on their role and the defined heuristics.withdrawfunction to update the utility of each actor when they withdraw their stake.Implement epoch-based reward distribution:
Implement protocol node fees:
Update documentation and perform testing:
Contract Structure Diagram
Acceptance Criteria
ProtocolStakingcontract is refactored into separate contracts for better modularity.stakefunction considers the utility of each actor based on their role and the defined heuristics.withdrawfunction adjusts the utility of each actor when they withdraw their stake.Deployment
Reference
[DRAFT]_Technical_Whitepaper_Rev_1.3.pdfTasks