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A distributed computing framework parameter optimization method, device and system

A distributed computing and framework technology, applied in the IT field

Active Publication Date: 2017-02-22
HUAWEI CLOUD COMPUTING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The purpose of the embodiments of the present invention is to provide a distributed computing framework parameter optimization method, aiming to solve the problems of rationalization, automation and self-learning of MapReduce parameter configuration

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  • A distributed computing framework parameter optimization method, device and system
  • A distributed computing framework parameter optimization method, device and system
  • A distributed computing framework parameter optimization method, device and system

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Embodiment Construction

[0101] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0102] figure 1 It is an implementation flowchart of a method for optimizing parameters of a distributed computing framework provided by an embodiment of the present invention;

[0103] In step S101, obtain the currently submitted distributed computing framework job;

[0104] In this embodiment, the distributed computing framework includes but not limited to the parallel computing framework Mapreduce.

[0105] In step S102, in the pre-established distributed computing framework historical operation database, retrieve the historical distributed computing framework job of the same type as the distr...

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Abstract

The present invention applies to the field of IT technologies and provides a method, apparatus and system for optimizing distributed computation framework parameters. The method comprises: obtaining currently submitted parallel computation framework jobs; retrieving historical distributed computation framework jobs of the same type as the distributed computation framework jobs in a distributed computation framework historical running database, the distributed computation framework historical running database comprising execution information and configuration parameters of the historical distributed computation framework jobs; retrieving historical distributed computation framework jobs similar to the distributed computation framework jobs among the distributed computation framework jobs of the same type; and performing optimized configuration on the configuration parameters of the distributed computation framework jobs according to the configuration parameters of the similar historical distributed computation framework jobs. The method, apparatus and system enable rationalization, automation and self-learning of Mapreduce job parameter configuration.

Description

technical field [0001] The invention belongs to the field of IT technology, and in particular relates to a parameter optimization method, device and system of a distributed computing framework. Background technique [0002] With the continuous integration and development of the global information industry, the scale of network resources and data is also increasing, especially in Internet applications, e-commerce and other fields, the amount of data is showing a trend of rapid growth. In order to solve these data-intensive computing problems, cloud computing Emerged as the times require, and the Map / Reduce programming model, as an important means to simplify large-scale data processing, has been more and more widely used. MapReduce is a general software framework proposed by Google to implement distributed parallel computing tasks. It simplifies the parallel software programming model on super-large clusters composed of ordinary computers, and can be used for parallel computi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F9/5061
Inventor 方育柯
Owner HUAWEI CLOUD COMPUTING TECH CO LTD