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An Adaptive Hybrid Cloud Computing Framework Generation Method Based on Job Type Recognition

A computing framework and hybrid computing technology, applied in the field of distributed computing, can solve problems such as high cost, inability to achieve adaptive matching and operation of hybrid computing architecture, and achieve the effects of improving utilization, reducing switching costs, and achieving flexible allocation.

Active Publication Date: 2020-07-14
SHANDONG UNIV
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  • Abstract
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  • Claims
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Problems solved by technology

However, there are few studies on unified scheduling at the job level. Users need to judge the computing framework applicable to the application scenario based on experience and submit the corresponding application program. Because the programming models and business logic of different computing architectures are very different, users switch differently. The cost of the distributed processing framework is very high, and it is impossible to realize the adaptive matching and operation of the hybrid computing architecture according to the job.

Method used

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  • An Adaptive Hybrid Cloud Computing Framework Generation Method Based on Job Type Recognition
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  • An Adaptive Hybrid Cloud Computing Framework Generation Method Based on Job Type Recognition

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Embodiment Construction

[0065] The technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in one or more embodiments of the present disclosure. Obviously, the described embodiments are only part of the implementation of the present invention. example, not all examples. Based on one or more embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0066] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless otherwise specified, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0067] It should be noted that the terminology used here is ...

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Abstract

The invention discloses a hybrid computing framework generation method, a data processing method, Apparatus and hybrid computing framework, The method comprises steps of, based on a bottom layer big data cluster, realizing resource support for a computing framework through unified scheduling of cluster resources; and receiving a job which is submitted by a user and compiled according to the unified programming model, identifying a job type, and automatically judging an applicable computing framework, thereby realizing unified processing of batch data, streaming data and the like under different application scenes, effectively realizing better universality and better improving the performance.

Description

technical field [0001] The present disclosure belongs to the technical field of distributed computing, and relates to a hybrid computing framework generation, a data processing method, a device, and a hybrid computing framework, in particular to a method and device for generating an adaptive hybrid computing framework based on job type identification, and a data A processing method and device, and an adaptive hybrid computing framework based on job type identification. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the continuous development of information technology, the amount of data faced by data processing is increasing rapidly, and more and more types of data need to be mined, including structured data, text data, graphic data, data streams, etc., offline processing, online computing, and graph algorithms. , Iterative algorit...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F8/20G06F9/50
Inventor 史玉良张坤
Owner SHANDONG UNIV
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