SCHEDULING MAPREDUCE TASKS BASED ON ESTIMATED WORKLOAD DISTRIBUTION

Patent №

US 9,852,012

Granted

2017-12-26

Filed 2015

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14835766

A method for scheduling MapReduce tasks includes receiving a set of task statistics corresponding to task execution within a MapReduce job, estimating a completion time for a set of tasks to be executed to provide an estimated completion time, calculating a soft decision point based on a convergence of a workload distribution corresponding to a set of executed tasks, calculating a hard decision point based on the estimated completion time for the set of tasks to be executed, determining a selected decision point based on the soft decision point and the hard decision point, and scheduling upcoming tasks for execution based on the selected decision point. The method may also include estimating a map task completion time and estimating a shuffle operation completion time. A computer program product and computer system corresponding to the method are also disclosed.

AI classification

AI hardware1.00
Machine learning0.92
Planning0.73
Evolutionary computation0.59
Knowledge representation0.42
Vision0.20
Natural language0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 364200845

Assignors

DUAN, NING, FAN, LIYA, HUANG, HE YUAN, WANG, JIAN, WANG, ZHI HU

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

From the same owner

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