A simulated annealing-based mobile blockchain optimization hashrate allocation method in multiple edge computing server scenarios

An edge server and edge computing technology, applied in the field of communication, can solve problems such as the inability of intelligent terminals to support computing power requirements

Active Publication Date: 2019-02-26
ZHEJIANG UNIV OF TECH
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[0002] With the rapid development of mobile blockchain technology, tra

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  • A simulated annealing-based mobile blockchain optimization hashrate allocation method in multiple edge computing server scenarios
  • A simulated annealing-based mobile blockchain optimization hashrate allocation method in multiple edge computing server scenarios
  • A simulated annealing-based mobile blockchain optimization hashrate allocation method in multiple edge computing server scenarios

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Embodiment Construction

[0077] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0078] refer to figure 1 , a simulated annealing-based mobile blockchain optimization computing power allocation method in multiple edge computing server scenarios, the implementation of this method can simultaneously ensure that the overall revenue is maximized under the condition of limited computing power resources of multiple edge servers . The present invention can be applied to wireless networks, such as figure 1 in the scene shown. Designing an optimization method for this problem includes the following steps:

[0079] (1) There are a total of n mobile terminals under the coverage of multiple edge computing servers. The set of mobile terminals is represented by I={1,2,...,n}, and there are m edge computing servers, and K= {1,2,...,m} means. The mobile terminal obtains computing power from the edge computing server, and the upper limit of the compu...

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Abstract

A simulated annealing-based mobile blockchain optimization hashrate allocation method in multiple edge computing server scenarios comprises the following steps: (1) there are n mobile users in total under the coverage of multiple edge computing servers, and an optimization problem is described as a non-convex optimization problem, in which the computational power of the optimal system mobile terminal is allocated and the system revenue is maximized under the limited computational power resources of the edge servers; (2) the TRO problem is transformed into TRO-sub problem equivalently under thecondition of given vi; (3) the TRO Sub problem is discussed and , based on simulated annealing method, the global optimal solution is obtained and the maximum system benefit is obtained. For the mobile terminal, the invention greatly improves the probability of completing the workload proof first by using the edge computing technology. For the edge computing server, under the condition of limitedcomputing resources, it meets the needs of mobile terminals; Increased the ultimate benefits of the system.

Description

technical field [0001] The invention belongs to the field of communication, in particular to a simulated annealing-based mobile block chain optimized computing power distribution method in the scenario of multiple edge computing servers. Background technique [0002] With the rapid development of mobile blockchain technology, traditional smart terminals cannot support its huge demand for computing power. Due to limited computing power resources, edge computing technology is used to realize reasonable computing power distribution of mobile terminals, so as to achieve the highest overall system revenue. Contents of the invention [0003] In order to solve the difficulty that the mobile terminal cannot meet the huge computing requirements of the blockchain, the present invention combines edge computing technology to provide certain computing power support for the mobile terminal. Since the computing power provided by the edge server is limited, the present invention is aimed ...

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Application Information

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IPC IPC(8): G06F9/50
CPCG06F9/5044Y02D10/00
Inventor 吴远陈相旭石佳俊汪道航钱丽萍黄亮
Owner ZHEJIANG UNIV OF TECH
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