Blockchain Computing Power Optimization Scheduling Method Oriented to Intelligent Data Processing

Abstract

The invention discloses a block chain computing power optimization scheduling method oriented to intelligent data processing, which is applied to the field of intelligent data processing and block chain, and aims at the problems of low efficiency and low precision in the existing massive data processing in the Internet of Things; The present invention combines the external computing tasks of massive data processing of the Internet of Things with the computing power resources of blockchain miners, and constructs the relationship between computing task publishers and miners based on incomplete information as a Stackelberg game model; Then solve the Nash equilibrium through an iterative algorithm to obtain the optimal strategies for both parties. The final result is that the external computing task allocation is completed according to the optimal price, and the miners allocate computing resources for external computing and mining computing in the optimal proportion, which improves the The processing efficiency of the massive data of the Internet of Things has been improved, and the accuracy of data processing has been 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 ...

AI Technical Summary

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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