METHOD AND SYSTEM FOR MULTI-CORE PROCESSING BASED TIME SERIES MANAGEMENT WITH PATTERN DETECTION BASED FORECASTING

摘要

System and method for multi-core processing based time series management, capable of handling high volume time series data with high speed processing for time series forecasting. The method includes storing each time series as a Structured Query Language (SQL) array in a single row using a plurality of time series parameters. Further, stored plurality of time series are analyzed on receiving a forecast request using a correlation based pattern detection mechanism. The pattern detection mechanism enables deriving a subset of forecasting models, from which an optimal or best-fit forecasting model is identified to generate one or more forecasted time series.