Metrics averaging before inserting to model.

Exponential smoothing models for metrics which are collected with high frequency (e.g. heap used metric) tend to work better for buckets. Therefore it is better to average N values and then use it as input to the model. Another solution could be use simple moving average to and use it as input for double exponential smoothing.
