Performance evaluation method of hardware resources in specific environment

Abstract

The invention provides a performance evaluation method for hardware resources in a specific environment. The performance evaluation method comprises the following steps: monitoring server state information connected with a client in real time; when the server is in a normal working state, evaluating the current hardware resource use condition of the server by adopting a pre-constructed hardware resource comprehensive index evaluation model to obtain hardware resource parameters required by each client; and comprehensively evaluating the performance of the server according to the hardware resource demand parameters of all the clients, wherein the hardware resource comprehensive index evaluation model comprises a server performance index used for evaluating the use condition of the server hardware resources. According to the scheme, the server performance evaluation model is effectively optimized according to the use condition of hardware resources, so that the accuracy of an evaluationresult is improved.

Description

technical field [0001] A performance evaluation method specifically relates to a performance evaluation method for hardware resources in a specific environment. Background technique [0002] As the scale of the Internet of Things system becomes larger and larger, a hardware device is required to serve more and more clients. When doing system planning, design, research and development, etc., it is often faced with first estimating the service scale of an Internet of Things ( The number of clients); its computing scale is huge, and as the client is a hardware device, it is impossible to accurately estimate the number of client hardware devices that will need to be carried in the future during the design stage, let alone conduct physical testing and software performance simulation for all client hardware devices. Therefore, it is very difficult to calculate the number of hardware devices that provide services in the background of the Internet of Things system, which affects the...

AI Technical Summary

Problems solved by technology

[0002] With the increasing scale of the Internet of Things system, a hardware device is required to serve more and more clients, and it is doing system planning, design, research and development, etc. In work, it is often faced with estimating the service scale (number of clients) of an Internet of Things first; its calculation scale is huge, and the client is a hardware device, so it is impossible to accurately estimate the number of client hardware devices that will need to be carried in the future during the design stage, and even more Physical testing and software performance simulation cannot be performed on all client hardware devices

Therefore, it is very difficult to calculate the number of hardware devices that provide services in the background of the Internet of Things system, which affects the accurate design of the system solution and leads to the problem that the budget cost cannot be estimated

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