| 1 | import { bench, group, run } from 'tatami-ng' |
| 2 | |
| 3 | function generateWorkersArray (numberOfWorkers) { |
| 4 | return [...Array(numberOfWorkers).keys()] |
| 5 | } |
| 6 | |
| 7 | const workers = generateWorkersArray(60) |
| 8 | |
| 9 | let nextWorkerIndex |
| 10 | |
| 11 | function roundRobinTernaryOffByOne () { |
| 12 | nextWorkerIndex = |
| 13 | workers.length - 1 === nextWorkerIndex ? 0 : nextWorkerIndex + 1 |
| 14 | return workers[nextWorkerIndex] |
| 15 | } |
| 16 | |
| 17 | function roundRobinTernaryWithNegation () { |
| 18 | nextWorkerIndex = |
| 19 | !nextWorkerIndex || workers.length - 1 === nextWorkerIndex |
| 20 | ? 0 |
| 21 | : nextWorkerIndex + 1 |
| 22 | return workers[nextWorkerIndex] |
| 23 | } |
| 24 | |
| 25 | function roundRobinTernaryWithPreChoosing () { |
| 26 | const chosenWorker = workers[nextWorkerIndex] |
| 27 | nextWorkerIndex = |
| 28 | workers.length - 1 === nextWorkerIndex ? 0 : nextWorkerIndex + 1 |
| 29 | return chosenWorker |
| 30 | } |
| 31 | |
| 32 | function roundRobinIncrementModulo () { |
| 33 | const chosenWorker = workers[nextWorkerIndex] |
| 34 | nextWorkerIndex++ |
| 35 | nextWorkerIndex %= workers.length |
| 36 | return chosenWorker |
| 37 | } |
| 38 | |
| 39 | group('Round robin tasks distribution', () => { |
| 40 | bench('Ternary off by one', () => { |
| 41 | nextWorkerIndex = 0 |
| 42 | roundRobinTernaryOffByOne() |
| 43 | }) |
| 44 | bench('Ternary with negation', () => { |
| 45 | nextWorkerIndex = 0 |
| 46 | roundRobinTernaryWithNegation() |
| 47 | }) |
| 48 | bench('Ternary with pre-choosing', () => { |
| 49 | nextWorkerIndex = 0 |
| 50 | roundRobinTernaryWithPreChoosing() |
| 51 | }) |
| 52 | bench('Increment+Modulo', () => { |
| 53 | nextWorkerIndex = 0 |
| 54 | roundRobinIncrementModulo() |
| 55 | }) |
| 56 | }) |
| 57 | |
| 58 | await run({ units: true }) |