Hi, On Nov 6, 2014 11:37 AM, "Imesh Gunaratne" <im...@apache.org> wrote: > > Thanks for your response Nirmal, please see my thoughts below: > > On Thu, Nov 6, 2014 at 7:38 PM, Nirmal Fernando <nirmal070...@gmail.com > wrote: >> >> AFAIU if it is statistics, it's all about random data, samples and normalization. You don't use all values to do estimations. And this is an estimation for gradient per say! > > > True, however the random data needs to be accurate as much as possible. >>> >>> >> Well, statistics we are calculating is for a cluster as a whole not member wise. Since, we autoscale a cluster. > > > Yes for autoscaling a cluster the aggregated statistics should be calculated against the cluster. However I do not think that we can mix each statistic accorss members when calculating differences. Different members of a cluster might be running at different resource usage levels at a given point of time. Therefore aggregation might needed to be done at the member level first and then on the cluster level. WDYT?
+1 We need to sample stats and aggregate them on fixed intervals before calculating the gradients. Thanks. > > > -- > Imesh Gunaratne > > Technical Lead, WSO2 > Committer & PMC Member, Apache Stratos
