Methods for analyse performance in distributed systems

The purpose of this article is to analyze various methods for measuring central tendency in statistics, including arithmetic mean, median, winsorized outlier exclusion method, Hodges-Lehmann estimator, and quantile estimation much more. advantages disadvantages each these are discussed, as well their practical applications performance analysis distributed systems. In particular, we focus on the importance selecting an appropriate measure that robust outliers accurately reflects distribution data. We also provide examples how can be applied real-world datasets gain insights into underlying patterns trends. Overall, provides a comprehensive overview different techniques offers guidance researchers analysts looking make informed decisions about perfomance analysis.