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Distributed large data real-time processing system and method based on left and right brain model

A real-time processing, big data technology, applied in the direction of mechanical mode conversion, user/computer interaction input/output, computer components, etc., can solve the problems of high transmission cost and difficult model expansion, and achieve improved transmission cost and high performance. The effect of distributed big data real-time processing

Inactive Publication Date: 2017-01-18
INST OF ACOUSTICS CHINESE ACAD OF SCI +1
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem of high transmission cost of the existing distributed big data real-time processing system, and overcome the problem that the model existing in the existing deep learning method is difficult to expand

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  • Distributed large data real-time processing system and method based on left and right brain model
  • Distributed large data real-time processing system and method based on left and right brain model
  • Distributed large data real-time processing system and method based on left and right brain model

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Embodiment Construction

[0036] Before describing the method of the present invention in detail, the concepts involved in the present invention will be briefly described first.

[0037] Label: The label in this application refers to when the input of a model is x t i The ideal output y when t i , which comes from the existing dataset {x t i ,y t i}, the label format is consistent with the output format, and the labels of different modules belong to the same label set {y t i}. For example, in the application of fast face recognition, the input is a picture of any face, the label is the correct name of the person corresponding to the face, and the output of the model is a name in the same format as the label, but not It must always be correct, and there will be a certain degree of recognition error rate.

[0038] The present invention will be further described now in conjunction with accompanying drawing.

[0039] Such as figure 1 As shown, the distributed big data real-time processing syste...

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Abstract

The invention relates to a distributed large data real-time processing system based on a left and right brain model comprising an edge left-brain module set {B(i)EL} consisting of m edge left-brain modules, an edge right-brain module set {B(i)ER} consisting of m edge right-brain modules, a central left-brain module BCL and a central right-brain module BCR, wherein 1<=i<=m, m is the number of edge servers; an ith user group is bidirectionally connected with an ith edge left-brain module B(i) EL; an ith user group is unidirectionally connected to an ith edge right-brain module B(i) ER; the i th edge left-brain module B(i) EL is bidirectionally connected with the ith edge right-brain module B(i) ER; the central left-brain module BCL is bidirectionally connected with the ith edge left-brain module B(i) EL; the ith edge right-brain module B(i) ER is unidirectionally connected to the central right-brain module BCR; the central left-brain module BCL is bidirectionally connected with the central right-brain module BCR.

Description

technical field [0001] The invention relates to the field of big data real-time processing, in particular to a distributed big data real-time processing system and method based on left and right brain models. Background technique [0002] With the rapid development of network technology, the capacity and diversity of data are increasing rapidly, but the complexity of algorithms for processing data is difficult to improve, relying on personal experience and manual operations to describe data, label data, select features, extract features, and process data. It has been difficult to meet the rapidly growing demand of big data, and how to efficiently process big data has become an urgent problem. In the existing distributed big data processing technology, such as the Hadoop distributed file system based on MapReduce and its data processing method, most of the resources will be wasted on the data transmission between computer clusters, how to reduce the distributed system Commun...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/01
Inventor 盛益强王劲林李超鹏邓浩江王玲芳卓煜刘学
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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