Resource management system and method for containerized application

Abstract

The invention discloses a resource management system and method for containerized application, wherein the system is composed of a management node and at least one computing node. The management node provides application management and resource monitoring function, and schedules tasks on demand according to the resources of the application demand and the resources that the computing node can provide, and also monitors the resource utilization ratio of the CPU, I / O devices and network devices of each computing node to guide the application scheduling to perform accurately. A container state analyzer in the calculation node performs the resource consumption statistics and analysis to the currently running container. Whether the running container produces the performance disturbance is distinguished and quantitative analyzed based on an SVM interference detection module. When performing performance disturbance, a container resource dispatch module dynamically adjusts all resources of the container. Efficient deployment and scheduling scheme are provided for containerized application in the cloud environment. The computing resources can be adjusted according to the dynamic changes of the applied workloads, and the elastic expansion and contraction are adaptive.

Description

technical field [0001] The invention belongs to the technical field of cloud computing and virtualization, and more specifically relates to a containerized application-oriented resource management system and method. Background technique [0002] Cloud computing provides an elastic resource supply model, and users obtain resource usage rights through on-demand request allocation, so as to provide services for their own applications. Traditional cloud computing platforms are leased to users in the form of virtual machines, and users obtain the hardware resources they need by configuring the number of CPUs, memory volume, disk capacity, and network bandwidth of the virtual machines. With the rise of container technology represented by Docker, developers can package applications into standard container images and then publish them to different platforms. Because the container isolates the underlying operating system and provides the operating environment required by the applica...

AI Technical Summary

Problems solved by technology

This solves the technical problem that the resource requirements of the application cannot be met flexibly, in a timely manner, and in an appropriate amount in the prior art

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