An approach for compressing time series using fuzzy logic methods to search for anomalies

Currently, data from various information systems is being actively accumulated. Large volumes of data lead to significant time expenditures and jeopardize the relevance of analytical information. It is necessary to reduce the amount of data received as input methods analysis. Some historical data can be represented by time series. The problem of finding patterns in time series has applications in various subject areas. The study is related to a comprehensive analysis of information about the dynamics of infrastructure indicators when deploying distributed software systems