m := &Monitor{
				bucketsMeasurement: tt.fields.activeBuckets,
				bucketsThrottle:    th,
				NodeCount:          1,
			}
			m.bucketsMeasurement[BucketOptions{Name: "bucket", ReplicationARN: "arn"}].updateExponentialMovingAverage(tt.fields.endTime)
			got := m.GetReport(SelectBuckets())
			if !reflect.DeepEqual(got, tt.want) {
				t.Errorf("GetReport() = %v, want %v", got, tt.want)
			}

func (m *bucketMeasurement) incrementBytes(bytes uint64) {
	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *bucketMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

			return
		}
	}
}

func (sr *SRStats) updateMovingAvg() {
	sr.lock.Lock()
	defer sr.lock.Unlock()
	for _, s := range sr.M {
		s.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())
		s.XferRateSml.measure.updateExponentialMovingAverage(time.Now())
	}
}

// SRMetric captures replication metrics for a deployment
type SRMetric struct {
	DeploymentID  string             `json:"deploymentID"`

		}
	}
}

func (r *ReplicationStats) updateMovingAvg() {
	r.RLock()
	for _, s := range r.Cache {
		for _, st := range s.Stats {
			st.XferRateLrg.measure.updateExponentialMovingAverage(time.Now())
			st.XferRateSml.measure.updateExponentialMovingAverage(time.Now())
		}
	}
	r.RUnlock()
}

// ActiveWorkers returns worker stats
func (r *ReplicationStats) ActiveWorkers() ActiveWorkerStat {
	if r == nil {

			return
		}
	}
}

func (m *Monitor) updateMovingAvg() {
	m.mlock.Lock()
	defer m.mlock.Unlock()
	for _, bucketMeasurement := range m.bucketsMeasurement {
		bucketMeasurement.updateExponentialMovingAverage(time.Now())
	}
}

func (m *Monitor) init(opts BucketOptions) {
	m.mlock.Lock()
	defer m.mlock.Unlock()

	_, ok := m.bucketsMeasurement[opts]
	if !ok {

func (m *rateMeasurement) incrementBytes(bytes uint64) {
	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()