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A data decoding-free transmission method for edge computing

A transmission method and edge computing technology, applied in computing, transmission systems, computer components, etc., can solve problems such as unfavorable compressed data processing operations, limited network resource nodes, etc., to optimize data transmission and processing time, and save computing and communication. The effect of resources

Active Publication Date: 2022-04-08
INNER MONGOLIA UNIV OF TECH
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Problems solved by technology

At present, the data compression algorithm for edge computing first decodes the compressed data and then analyzes and processes the data. However, the network resource nodes in edge computing are limited, and a large amount of network transmission delay will be generated in the process of data decoding, which is not conducive to the edge network. Efficient processing operations on compressed data

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  • A data decoding-free transmission method for edge computing
  • A data decoding-free transmission method for edge computing
  • A data decoding-free transmission method for edge computing

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Embodiment Construction

[0027] The implementation of the present invention will be described in detail below in conjunction with the drawings and examples.

[0028] Such as figure 1 As shown, the present invention is an edge computing-oriented compressed data decoding-free transmission method, which mainly includes the following steps:

[0029] Step 1. At the initial node, collect data from time slot 1 to time slot t on the edge fixed network or mobile network, and record the characteristic attributes of the data and the corresponding data values.

[0030] Step 2. In order to reduce the size of the transmitted data and optimize the transmission efficiency, the classifiable manifold learning data compression algorithm is used at the initial node to perform feature mapping on the data homomorphism, and the data compression is effectively realized on the premise of ensuring that the data can be classified. The prerequisites for edge nodes to efficiently obtain data are as follows:

[0031] Step 2.1, s...

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Abstract

A decoding-free transmission method for compressed data oriented to edge computing. At the initial node, data of different time slots on the edge fixed network or mobile network are collected and stored in different arrays. In each array, neighbor weights are constructed for the data. Graph, record a pair of data with an adjacent relationship as a data pair, and record the adjacent relationship between the corresponding feature attributes of the data pair, construct a global metric feature matrix, and solve the shortest path of all data pairs in the nearest neighbor weighted graph , capture the feature map embedding, map the data features from the high-dimensional space to the low-dimensional space, obtain the feature map results of all time slots, combine the results as the feature map compression representation results of the edge network nodes in the next time slot, and transmit the combination to the edge For network nodes, the present invention does not require data decoding, and can greatly improve computing efficiency and save computing resources on the premise of accurately analyzing and processing data, and improve the transmission performance of massive data in cloud computing.

Description

technical field [0001] The invention belongs to the technical field of industrial automation and cloud computing, and relates to data processing and transmission, in particular to a decoding-free transmission method for compressed data oriented to edge computing. Background technique [0002] With the development of 5G technology, a large amount of information data is generated in the mobile communication network. Due to the variety of information data types and the fast transmission speed, network data processing is more time-consuming and computing resources. One of the advantages of edge computing is that Ability to process and store data faster. Edge computing has become a classic paradigm to enhance the computing power of mobile devices and reduce its energy consumption. In the edge computing paradigm, mobile devices migrate the computing tasks of the cloud center to adjacent edge servers to relieve the load of the cloud center, and at the same time help It is used to ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L69/04G06K9/62G06N3/04
CPCH04L69/04G06N3/044G06N3/045G06F18/2411
Inventor 刘文静刘晓燕许志伟秦亚娜
Owner INNER MONGOLIA UNIV OF TECH