TIME-BOUND DATABASE TUNING

Patent №

US 7,155,459

Granted

2006-12-26

Filed 2002

Owner

MICROSOFT CORPORATION

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10185999

A method is provided for tuning a database to recommend a set of physical design structures for the database that optimize database performance for a given workload given a total time bound that defines a maximum amount of time that can be spent tuning the database. A cumulative set of recommended structures is maintained and incrementally updated based on tuning that is performed in intervals over portions of the workload. The cumulative set of recommended structures is updated by tuning the database by examining a predetermined portion of the workload during a time slice that is a fraction of the total time bound. At the end of the time slice, a set of recommended structures has been enumerated that is based on the workload portions that have been examined thus far. The set of recommended structures is updated until all queries in the workload have been examined or until the time bound is reached.

AI classification

AI hardware0.94
Knowledge representation0.05
Machine learning0.04
Vision0.00
Natural language0.00
Planning0.00
Speech0.00
Evolutionary computation0.00

Ownership

MICROSOFT CORPORATION

assignment · 130720469

Assignors

CHAUDHURI, SURAJIT, AGRAWAL, SANJAY, NARASAYYA, VIVEK

On an employer assignment, the assignors are typically the inventors.

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