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Avalanche Snow consensus in javascript
class Validator {
constructor(id, preference) {
this.id = id;
this.preference = preference;
this.decided = false;
}
}
const describeValidators = (validators) => {
const preferences = {};
for (const validator of validators) {
const preference = validator.preference;
preferences[preference] = (preferences[preference] || 0) + 1;
}
const numValidators = validators.length;
let maxPrefererenceCount = 0;
let maxPreference = null;
for (const [preference, count] of Object.entries(preferences)) {
if (count >= maxPrefererenceCount) {
maxPrefererenceCount = count;
maxPreference = preference;
}
}
return {numValidators, preferences, maxPreference};
}
const randomPreference = (numPreferences) => {
return String.fromCharCode(Math.floor(Math.random() * numPreferences) + 65);
}
const createValidators = (numValidators, numPreferences) => {
return new Array(numValidators).fill(null).map((_, i) =>
new Validator(i, randomPreference(numPreferences)));
}
/**
* Sample a subset of validators from the group of validators
* @param {*} arr - The group of validators
* @param {*} k - the number of validators to select
*/
const sample = (arr, k, self) => {
const result = [];
const used = new Set();
let i = 0;
while (i < k) {
const index = Math.floor(Math.random() * arr.length);
const validator = arr[index];
if (index === self) continue;
if (used.has(validator.id)) continue;
used.add(validator.id);
result.push(validator);
++i;
}
return result;
}
/**
*
* @param {*} validators - The group of validators trying to achieve consensus
* @param {*} sampleSize - The sample size of validators to query of the subset of validators
* @param {*} quorumSize - quorum size - between 1 and k, 14,
* the number of validators who must agree to change the preference
* @param {*} decisionThreshold - The number of times where a quorum of validators must be reached to acheive consenus
*/
const getConsensus = (validators, sampleSize = 20, quorumSize = 14, decisionThreshold = 20) => {
// Make a copy of the validators
let iterations = 0;
validators = validators.map(v => { return {...v}; });
let undecidedValidators = validators.filter(person => !person.decided);
let consecutiveSuccesses = 0;
while (undecidedValidators.length > 0) {
for (const person of undecidedValidators) {
const sampleValidators = sample(validators, sampleSize, person.id);
// Get number of validators who prefer a given preference
const preferenceCount = {};
for (const sampleValidator of sampleValidators) {
const preference = sampleValidator.preference;
preferenceCount[preference] = (preferenceCount[preference] || 0) + 1;
}
let maxPreference = null;
let maxCount = 0;
for (const [preference, count] of Object.entries(preferenceCount)) {
if (count >= maxCount) {
maxPreference = preference;
maxCount = count;
}
}
if (maxCount >= quorumSize) {
const oldPreference = person.preference;
person.preference = maxPreference;
validators.splice(person.id, 1, person);
if (oldPreference === maxPreference) {
++consecutiveSuccesses;
} else {
consecutiveSuccesses = 1;
}
} else {
consecutiveSuccesses = 0;
}
if (consecutiveSuccesses >= decisionThreshold) {
person.decided = true;
}
}
undecidedValidators = validators.filter(person => !person.decided);
}
return validators;
};
const iterations = 10;
let timesConsensusCorrect = 0;
let timesConsensusIncorrect = 0;
const NUM_VALIDATORS = 1203;
const NUM_PREFERENCES = 2;
console.log(`Testing the SNOW consensus algorithm ${iterations} times`);
for(let i = 0; i < iterations; i++) {
const validators = createValidators(NUM_VALIDATORS, NUM_PREFERENCES);
const maxPreference = describeValidators(validators).maxPreference;
const consensus = getConsensus(validators);
const afterConsensusPreference = describeValidators(consensus).maxPreference;
if (maxPreference === afterConsensusPreference) {
++timesConsensusCorrect;
} else {
++timesConsensusIncorrect;
console.log("Incorrect consensus: ");
console.log(describeValidators(validators));
console.log(describeValidators(consensus));
}
}
console.log(`Times Consensus correct: ${timesConsensusCorrect}`);
console.log(`Times Consensus incorrect: ${timesConsensusIncorrect}`);
console.log(`Percentage Consensus correct: ${(timesConsensusCorrect / iterations) * 100}%`);
// console.log(validators);
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