Time-sharing vcpu multi-core scheduling method and system based on microkernel

Abstract

The invention provides a time-sharing vcpu multi-core scheduling method and system based on a microkernel, and relates to the technical field of virtualization; the method comprises the following steps: a scheduling initialization step: grouping physical processor cores pcpu; enabling each pcpu to apply for a memory space to create a respective ready queue and a waiting queue, and creating a respective idle thread for each pcpu; a partition multi-core scheduling step: when the vcpu thread is scheduled, judging whether the time slice of the current vcpu thread is used up or not; and a ready thread selection step: in the partition multi-core scheduling step, when a ready thread, namely a vcpu thread or a common task thread is selected, comparing and judging whether the partition is in a new period or an old period, and selecting the corresponding ready thread for switching. The method can be realized based on a microkernel, and has higher flexibility and reliability; based on a time-sharing scheduling algorithm, resources required by real-time and non-real-time tasks are effectively integrated; therefore, the real-time partition task scheduling algorithm can improve the real-time performance of the partition task scheduling.

Description

technical field [0001] The invention relates to the technical field of virtualization, in particular to a microkernel-based time-sharing vcpu multi-core scheduling method and system. Background technique [0002] With the continuous development of the embedded field, there are more and more application occasions for embedded systems. Facing the increasing user needs, embedded systems that can only support a single type of application can no longer meet the requirements. In order to meet this diverse challenge, existing embedded systems often contain multiple subsystems, which meet various requirements, such as real-time and non-real-time requirements, low security level and high security level requirements, etc. Diversified subsystems also increase the design complexity of embedded systems. In this context, the embedded industry needs new solutions to realize the resource integration of multiple subsystems, and the application of virtualization technology in embedded system...

AI Technical Summary

Problems solved by technology

[0005] However, most of the existing open source virtualization technologies such as Linux-based KVM are based on macro kernels, which reduces the isolation and reliability between partitions and tasks; moreover, most of these open source virtualization technologies only have soft real-time performance , unable to meet the requirements of strong real-time application scenarios

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