Dynamically generating pre-aggregated datasets

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamically generating and configuring pre-aggregated datasets optimized for responding to particular types of data requests made against a large sub-optimal multidimensional dataset are disclosed....

Full description

Saved in:
Bibliographic Details
Main Authors Ewald, Eric W, Tangney, Cameron M, Nandy, Sagnik, Cai, Chao
Format Patent
LanguageEnglish
Published 26.02.2019
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online AccessGet full text

Cover

More Information
Summary:Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamically generating and configuring pre-aggregated datasets optimized for responding to particular types of data requests made against a large sub-optimal multidimensional dataset are disclosed. A dynamic aggregator monitors the query types and response latencies associated with queries made against the large multidimensional dataset. The dynamic aggregator defines pre-aggregated datasets based on the types of queries received from users and calculates a respective benefit score for each pre-aggregated dataset. The benefit score of each pre-aggregated dataset can be based on the recorded latencies and query count for the pre-aggregated dataset. The dynamic aggregator can decide whether to generate and/or maintain particular pre-aggregated datasets based on the current values of the benefit scores associated with the particular pre-aggregated datasets.
Bibliography:Application Number: US201615234840