Server performance index evaluation method for container bearing service application

Abstract

The invention relates to a server performance index evaluation method for a container bearing service application. The server performance index evaluation method is characterized by comprising the following steps of: (1), establishing a server performance index evaluation system for the container bearing service application; (2), obtaining evaluation index data of a server CPU, the memory capacity and a hard disk I/O from a pseudo-file system in real time; (3), calculating a server health score; (4), when any score in the three evaluation index data or the server health score is greater than 80 for a long time, prompting a system administrator to pay attention to the operation state of a server; (5), displaying statistical data of the three valuation indexes of a host system, the server health score and alarm information; (6), according to the score and the container operation score, finding out a lot of containers consuming system resources and determining whether the containers are eliminated or not by the system administrator; and (7), repeating the process. By means of the server performance index evaluation method disclosed by the invention, real-time state monitoring of process quota and resource overhead of the container bearing service application can be realized.

Description

technical field [0001] The invention belongs to the technical field of server virtualization, in particular to a method for evaluating server performance indicators of container-borne business applications. Background technique [0002] Today, server virtualization has gone from being a niche concept adopted only by the largest and most daring enterprises, to becoming an essential part of day-to-day data center operations. [0003] However, the existing server virtualization technology still has the following defects: [0004] 1. The performance of the client system is degraded due to the coordination of resources by the virtualization layer. [0005] Performance issues are one of the main concerns when using virtualization technology. Since virtualization adds an abstraction layer between the guest and the host, this will increase the operational latency of guest tasks. [0006] For example, in the case of hardware virtualization, when simulating a bare metal on which a ...

AI Technical Summary

Problems solved by technology

Binary translation and interpretation also slow down the execution speed of the application

In addition, access to memory and other physical resources can also cause performance degradation as its execution is filtered by the runtime environment

[0010] 2. Due to the virtualization management software abstraction layer, the host is not used optimally, resulting in low host utilization or lower user service quality

For example, in the first version of Java, the support for graphical programming was very limited, and the interface and feel of the application were very poor.

[0012] 3. Hidden security vulnerabilities and threats, which are mostly generated by simulating different execution environments

The existing instruction set cannot be easily changed or updated to meet the needs of virtualization

[0015] The same problem exists with programming-level virtual machines: changes in the operating environment can obtain sensitive information or monitor memory locations used by guest applications

In this way, the original state of the runtime environment will be modified and replaced, and security issues will often occur if there is malware in the hypervisor or a security hole in the host operating system is exploited

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