mirror of
https://source.quilibrium.com/quilibrium/ceremonyclient.git
synced 2024-11-16 05:05:17 +00:00
233 lines
6.0 KiB
Go
233 lines
6.0 KiB
Go
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package backoff
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import (
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"math"
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"math/rand"
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"sync"
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"time"
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logging "github.com/ipfs/go-log/v2"
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)
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var log = logging.Logger("discovery-backoff")
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type BackoffFactory func() BackoffStrategy
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// BackoffStrategy describes how backoff will be implemented. BackoffStrategies are stateful.
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type BackoffStrategy interface {
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// Delay calculates how long the next backoff duration should be, given the prior calls to Delay
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Delay() time.Duration
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// Reset clears the internal state of the BackoffStrategy
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Reset()
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}
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// Jitter implementations taken roughly from https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/
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// Jitter must return a duration between min and max. Min must be lower than, or equal to, max.
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type Jitter func(duration, min, max time.Duration, rng *rand.Rand) time.Duration
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// FullJitter returns a random number, uniformly chosen from the range [min, boundedDur].
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// boundedDur is the duration bounded between min and max.
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func FullJitter(duration, min, max time.Duration, rng *rand.Rand) time.Duration {
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if duration <= min {
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return min
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}
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normalizedDur := boundedDuration(duration, min, max) - min
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return boundedDuration(time.Duration(rng.Int63n(int64(normalizedDur)))+min, min, max)
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}
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// NoJitter returns the duration bounded between min and max
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func NoJitter(duration, min, max time.Duration, rng *rand.Rand) time.Duration {
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return boundedDuration(duration, min, max)
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}
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type randomizedBackoff struct {
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min time.Duration
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max time.Duration
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rng *rand.Rand
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}
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func (b *randomizedBackoff) BoundedDelay(duration time.Duration) time.Duration {
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return boundedDuration(duration, b.min, b.max)
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}
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func boundedDuration(d, min, max time.Duration) time.Duration {
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if d < min {
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return min
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}
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if d > max {
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return max
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}
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return d
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}
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type attemptBackoff struct {
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attempt int
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jitter Jitter
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randomizedBackoff
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}
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func (b *attemptBackoff) Reset() {
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b.attempt = 0
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}
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// NewFixedBackoff creates a BackoffFactory with a constant backoff duration
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func NewFixedBackoff(delay time.Duration) BackoffFactory {
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return func() BackoffStrategy {
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return &fixedBackoff{delay: delay}
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}
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}
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type fixedBackoff struct {
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delay time.Duration
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}
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func (b *fixedBackoff) Delay() time.Duration {
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return b.delay
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}
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func (b *fixedBackoff) Reset() {}
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// NewPolynomialBackoff creates a BackoffFactory with backoff of the form c0*x^0, c1*x^1, ...cn*x^n where x is the attempt number
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// jitter is the function for adding randomness around the backoff
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// timeUnits are the units of time the polynomial is evaluated in
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// polyCoefs is the array of polynomial coefficients from [c0, c1, ... cn]
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func NewPolynomialBackoff(min, max time.Duration, jitter Jitter,
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timeUnits time.Duration, polyCoefs []float64, rngSrc rand.Source) BackoffFactory {
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rng := rand.New(&lockedSource{src: rngSrc})
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return func() BackoffStrategy {
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return &polynomialBackoff{
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attemptBackoff: attemptBackoff{
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randomizedBackoff: randomizedBackoff{
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min: min,
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max: max,
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rng: rng,
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},
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jitter: jitter,
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},
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timeUnits: timeUnits,
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poly: polyCoefs,
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}
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}
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}
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type polynomialBackoff struct {
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attemptBackoff
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timeUnits time.Duration
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poly []float64
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}
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func (b *polynomialBackoff) Delay() time.Duration {
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var polySum float64
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switch len(b.poly) {
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case 0:
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return 0
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case 1:
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polySum = b.poly[0]
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default:
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polySum = b.poly[0]
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exp := 1
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attempt := b.attempt
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b.attempt++
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for _, c := range b.poly[1:] {
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exp *= attempt
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polySum += float64(exp) * c
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}
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}
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return b.jitter(time.Duration(float64(b.timeUnits)*polySum), b.min, b.max, b.rng)
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}
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// NewExponentialBackoff creates a BackoffFactory with backoff of the form base^x + offset where x is the attempt number
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// jitter is the function for adding randomness around the backoff
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// timeUnits are the units of time the base^x is evaluated in
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func NewExponentialBackoff(min, max time.Duration, jitter Jitter,
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timeUnits time.Duration, base float64, offset time.Duration, rngSrc rand.Source) BackoffFactory {
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rng := rand.New(&lockedSource{src: rngSrc})
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return func() BackoffStrategy {
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return &exponentialBackoff{
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attemptBackoff: attemptBackoff{
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randomizedBackoff: randomizedBackoff{
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min: min,
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max: max,
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rng: rng,
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},
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jitter: jitter,
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},
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timeUnits: timeUnits,
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base: base,
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offset: offset,
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}
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}
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}
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type exponentialBackoff struct {
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attemptBackoff
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timeUnits time.Duration
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base float64
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offset time.Duration
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}
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func (b *exponentialBackoff) Delay() time.Duration {
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attempt := b.attempt
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b.attempt++
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return b.jitter(
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time.Duration(math.Pow(b.base, float64(attempt))*float64(b.timeUnits))+b.offset, b.min, b.max, b.rng)
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}
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// NewExponentialDecorrelatedJitter creates a BackoffFactory with backoff of the roughly of the form base^x where x is the attempt number.
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// Delays start at the minimum duration and after each attempt delay = rand(min, delay * base), bounded by the max
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// See https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/ for more information
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func NewExponentialDecorrelatedJitter(min, max time.Duration, base float64, rngSrc rand.Source) BackoffFactory {
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rng := rand.New(&lockedSource{src: rngSrc})
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return func() BackoffStrategy {
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return &exponentialDecorrelatedJitter{
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randomizedBackoff: randomizedBackoff{
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min: min,
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max: max,
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rng: rng,
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},
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base: base,
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}
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}
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}
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type exponentialDecorrelatedJitter struct {
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randomizedBackoff
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base float64
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lastDelay time.Duration
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}
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func (b *exponentialDecorrelatedJitter) Delay() time.Duration {
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if b.lastDelay < b.min {
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b.lastDelay = b.min
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return b.lastDelay
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}
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nextMax := int64(float64(b.lastDelay) * b.base)
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b.lastDelay = boundedDuration(time.Duration(b.rng.Int63n(nextMax-int64(b.min)))+b.min, b.min, b.max)
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return b.lastDelay
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}
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func (b *exponentialDecorrelatedJitter) Reset() { b.lastDelay = 0 }
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type lockedSource struct {
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lk sync.Mutex
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src rand.Source
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}
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func (r *lockedSource) Int63() (n int64) {
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r.lk.Lock()
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n = r.src.Int63()
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r.lk.Unlock()
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return
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}
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func (r *lockedSource) Seed(seed int64) {
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r.lk.Lock()
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r.src.Seed(seed)
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r.lk.Unlock()
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}
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