Method and system for optimizing parameter configuration of distributed computing job

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United States of America Patent

PATENT NO 11768712
APP PUB NO 20230042890A1
SERIAL NO

17791472

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Abstract

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The present disclosure relates to a method and system for optimizing a parameter configuration of a distributed computing job. The method includes: obtaining job programs of different distributed computing jobs, and determining a key parameter configuration set; obtaining a cluster status during execution of the distributed computing job, randomly generating a sample data set based on the key parameter configuration set and the cluster status, and establishing a performance prediction model; correcting the performance prediction model by using a multi-objective genetic algorithm and an optimization module configured with an optimal configuration selection strategy; obtaining a job program of a to-be-optimized distributed computing job and a cluster status during execution of the to-be-optimized distributed computing job, and determining a to-be-optimized key parameter configuration item combination; and inputting, to the performance prediction model, the to-be-optimized key parameter configuration item combination and the cluster status during execution of the to-be-optimized distributed computing job, and outputting a key parameter configuration item combination with a shortest execution time. The present disclosure can rapidly and effectively optimize the key parameter configuration.

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Patent Owner(s)

  • 501 TSINGHUA UNIVERSITY

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Wen, Lijie Beijing, CN 2 1
Zong, Zan Beijing, CN 2 1

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