Edge device performance evaluation method based on block chain, management method and medium

Abstract

The invention relates to the technical field of edge calculation, and further discloses an edge device performance evaluation method based on the block chain, a management method and a medium. The edge device performance evaluation method based on a block chain. comprises the following steps: synchronously running a reference program module on equipment corresponding to an evaluated node and a selected verification node; obtaining the time expenditure corresponding to each device running the reference program module; the method comprises the following steps: firstly, establishing a block chain, then calculating a reference performance parameter by verifying a performance parameter of equipment corresponding to a node and a time overhead ratio of the performance parameter to the equipment corresponding to an evaluated node, finally obtaining a trusted performance parameter of the evaluated node by counting all the calculated reference performance parameters, and recording the trusted performance parameter on the block chain. Therefore, the performance of each device can be accurately, effectively, fairly and fairly recorded in a huge edge computing network.

Description

technical field [0001] The present invention relates to the technical field of edge computing, in particular to a block chain-based edge device performance evaluation method, management method and medium. Background technique [0002] Edge computing is a new field that has attracted much attention in recent years, and edge devices, an important part of edge computing applications, are also showing a trend of diversification. With the development of the Internet of Things, the computing performance and state management of edge devices have become an urgent problem to be solved. [0003] In the traditional cloud era, although the cloud computing center has powerful processing performance, it can also handle massive amounts of data. However, the number of servers in any cloud computing center is limited. When faced with the massive data that is increasing by an order of magnitude in the Internet of Things scenario, a large number of servers will inevitably crash. Moreover, clo...

AI Technical Summary

Problems solved by technology

However, the number of servers in any cloud computing center is limited. When faced with the massive data that is increasing by orders of magnitude in the Internet of Things scenario, a large number of servers will inevitably crash. Moreover, cloud computing services also require that the data that needs to be processed be transmitted to the cloud. In the computing center, due to bandwidth limitations, it takes a certain amount of time to transmit massive data. At the same time, it takes a certain amount of time for the cloud computing center to process data, which will naturally increase the request response time, and the user experience is extremely poor.

Especially in the Internet of Things scenario, with the access of massive devices, cloud computing services will collapse

Images