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Distributed computation frame parameter optimizing method, device and system

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

Active Publication Date: 2014-02-26
HUAWEI CLOUD COMPUTING TECH CO LTD
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  • Abstract
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  • 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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  • Distributed computation frame parameter optimizing method, device and system
  • Distributed computation frame parameter optimizing method, device and system
  • Distributed computation frame parameter optimizing 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, search for historical distributed computing framework jobs of the same type as the distributed computing framework jobs in the pre-established distributed computing framework ...

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Abstract

The invention is suitable for the IT technical field and provides a distributed computation frame parameter optimizing method, device and system. The method comprises the steps of obtaining currently-submitted parallel computation frame operation; retrieving historical distributed computation frame operation similar to the distributed computation frame operation in a distributed computation frame operation historical operation database, wherein the distributed computation frame operation historical operation database comprises execution information and configuration parameters of the distributed computation frame operation; retrieving historical distributed computation frame operation similar to the distributed computation frame operation during the similar distributed computation frame operation; performing optimizing configuration on the configuration parameters of the distributed computation frame operation according to configuration parameters of the similar historical distributed computation frame operation. By adopting the distributed computation frame parameter optimizing method, device and system, parameter configuration rationalization, automatization and self learning of Mapreduce operation can be achieved.

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...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F9/5061G06F9/5066
Inventor 方育柯
Owner HUAWEI CLOUD COMPUTING TECH CO LTD
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