Distributed cloud network resource pricing method oriented to mobile block chain system

A technology of network resources and blockchain, applied in the field of computing resource rental decision-making and revenue maximization, to achieve the effect of expanding application scenarios and efficient utilization

Pending Publication Date: 2022-04-29
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this game problem, how to formulate a solution that both parties can be satisfied with has become a huge challenge

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  • Distributed cloud network resource pricing method oriented to mobile block chain system
  • Distributed cloud network resource pricing method oriented to mobile block chain system
  • Distributed cloud network resource pricing method oriented to mobile block chain system

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Embodiment Construction

[0049] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0050] A kind of distributed cloud and fog network resource pricing method oriented to mobile block chain system of the present invention, the method comprises the following steps:

[0051] Step 1, build a blockchain network model, and build an expression for the problem of maximizing the expected revenue of edge computing us...

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Abstract

The invention discloses a distributed cloud and fog network resource pricing strategy for a mobile block chain system, so as to efficiently utilize computing resources and communication resources in a cloud and fog network. The computing power demand of an edge computing user in a block chain system and computing resource allocation in a cloud and fog network are modeled as a master-slave game model, an FAP sets the price of computing resources according to the maximum income, and the edge computing user decides to rent the computing resources of a fog node or a cloud computing center according to the price of the computing resources provided by the fog node FAP. The game between the user and the FAP is calculated through the edge to maximize the common revenue. According to the invention, a cloud and fog fusion network is considered to participate in and support a block chain system, so that the application scene of a block chain network technology is effectively expanded.

Description

technical field [0001] The present invention relates to computing resource rental decision-making and distribution and a method for maximizing revenue, in particular to a method for computing resource rental decision and revenue maximization in a blockchain network technology based on fog computing and communication resource allocation algorithm. Background technique [0002] The blockchain network is a distributed, decentralized, virtual superimposed peer-to-peer network. When the resources in the communication network need an incentive mechanism, the blockchain network can quickly realize a self-organizing trading platform. In the blockchain network, users who use distributed applications become edge computing users in the blockchain, and they can obtain profits by participating in computing, that is, the POW (Proof of Work) mechanism. [0003] In order to allow lightweight device nodes such as IoT (Internet of Things) devices to participate in the consensus process, to al...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q40/04G06F9/50
CPCG06Q30/0283G06Q40/04G06F9/5072
Inventor 潘怡瑾吕之凡陈明
Owner SOUTHEAST UNIV
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