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PREDICTIVE SCHEDULING AND EXECUTION OF DATA ANALYTICS APPLICATIONS BASED ON MACHINE LEARNING TECHNIQUES

Abstract:

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for predictive scheduling and execution of data analytics applications based on machine learning techniques. An apparatus may operate by determining a first prediction entry in a predicted execution schedule based at least on a current timestamp. The apparatus may also operate by determining that a first confidence score of the first prediction entry is greater than or equal to a confidence score threshold and determining that an execution prediction of the first prediction entry is greater than or equal to an execution threshold. The apparatus may further operate by transmitting a first data analytics application execution request configured to request a first instance of execution of the data analytics application.