The goal of the presentation is to demystify the technique in some simple terms and examples to show what it actually is and how that could be used for Capacity and Demand management. That is done by developing R code to recognize typical workload pasterns, like OLTP, or others in the time series performance data daily profiles.To view the full video you must have a IMPACT 2019 video membership. Sign up today!
You are at :Home»exclude from home»IMPACT 2019: Catching Anomaly and Normality in Cloud by Neural Net and Entropy Calculation – Igor Trubin, Capital One Bank
Communications 02 Apr 2018