Block chain computing power optimization scheduling method oriented to intelligent data processing

A technology of data processing and scheduling methods, applied in data exchange networks, digital transmission systems, instruments, etc., can solve problems such as idle computing power, and achieve the effects of ensuring security, optimizing self-income, and diversifying income

Active Publication Date: 2021-05-07
YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
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Problems solved by technology

However, since the net income of miners comes from the difference between the rewards for successful mining and the consumption of computing resources, based on the fact that the rewards issued in the form of virtual currency show a trend of large fluctuations, many miners have to stop mining in order to stop losses in time. Bringing the problem of idle computing power

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  • Block chain computing power optimization scheduling method oriented to intelligent data processing
  • Block chain computing power optimization scheduling method oriented to intelligent data processing
  • Block chain computing power optimization scheduling method oriented to intelligent data processing

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Embodiment Construction

[0027] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0028] In the Internet of Things, there are nodes that gather a large amount of data and need to perform intelligent analysis and processing on these data. This intelligent processing requires a lot of computing resources. In the case that these nodes have insufficient computing resources, they can issue computing tasks to the outside, and other nodes with sufficient computing power (such as access gateways, dedicated servers, etc.) can assist in completing the intelligent processing of data. The nodes that issue computing tasks are called demanders, and the nodes that accept tasks and provide computing services are called servers. In order to facilitate the task matching between the demander and the server, a special type of node is set in the ...

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Abstract

The invention discloses a block chain computing power optimization scheduling method oriented to intelligent data processing, is applied to the field of intelligent data processing and block chains, and aims to solve the problems of low efficiency and low precision of mass data processing in the existing Internet of Things. According to the invention, an external calculation task of mass data processing of the Internet of Things is combined with calculation power resources of miners of the block chain, and the relationship between a calculation task publisher and the miners based on incomplete information is constructed into a Stackelberg game model; nash equilibrium is solved through an iterative algorithm to obtain respective optimal strategies of the two parties, and a final result is that external calculation task allocation is completed according to an optimal price, and miners respectively allocate calculation resources for external calculation and mining calculation according to an optimal proportion, so that the processing efficiency of mass data of the Internet of Things is improved, and the data processing precision is improved.

Description

technical field [0001] The invention belongs to the field of intelligent data processing and block chain, and in particular relates to a computing resource optimization scheduling technology for intelligent data processing. Background technique [0002] With the development of Internet of Things technology, a large number of terminal equipment such as monitoring equipment, testing equipment, etc. are widely deployed, bringing massive data, these data need to be further analyzed and processed to provide higher application value, for scientific research Decision-making and implementation of effective management provide favorable conditions. However, the traditional data analysis technology has the problems of low efficiency and low precision, and it is difficult to meet today's complex data processing needs. The development of artificial intelligence technology can optimize data analysis capabilities and improve analysis efficiency, which is an important direction of current ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L29/08G16Y40/10
CPCH04L67/10H04L67/12H04L43/0817H04L67/1008H04L67/101G16Y40/10
Inventor 韦云凯肖明月杨宁冷甦鹏杨鲲刘强沈军
Owner YANGTZE DELTA REGION INST (QUZHOU) UNIV OF ELECTRONIC SCI & TECH OF CHINA
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