A resource pool management method for virtual machine vcpu scheduling

Abstract

The invention provides a resource pool management method for vCPU scheduling of virtual machines (VM). The method comprises: 1) according to the fluctuation degree of data transmission delay of each VM within current statistic analysis cycle, identifying each VM as a network-sensitive VM and a non network-sensitive VM; 2) according to the identified type of each VM in the step 1), the CPU load value actually occupied by each VM within current statistic analysis cycle, and physical computing resources distributed to each VM, distributing the physical computing resources to a branch resource pool of the network-sensitive VM and a branch resource pool of the non network-sensitive VM; and 3) distributing the network-sensitive VM to the branch resource pool of the network-sensitive VM for scheduling, and distributing the non network-sensitive VM to the branch resource pool of the non network-sensitive VM for scheduling. According to the method, the network performance of the VM executing a network-sensitive task can be greatly improved, so that the two types of VMs both can share the physical resources fairly.

Description

technical field [0001] The present invention relates to the technical field of virtualization of cloud computing, in particular, the present invention relates to a resource pool management method for virtual machine vCPU scheduling. Background technique [0002] In recent years, cloud computing technology has received extensive attention from industry and academia. Many telecom operators and information technology service companies at home and abroad have built their own public cloud computing platforms and private cloud computing platforms to provide users with related cloud computing-based application services. Virtualization technology is the foundation of cloud computing technology. By using hardware resource virtualization technology, multiple virtual machines can be virtualized on one physical server. These virtual machines (VMs) not only share the underlying hardware computing resources, but are also isolated from each other. Among them, typical virtualization techn...

AI Technical Summary

Problems solved by technology

However, when the physical CPU load of the host machine is high, there will be multiple VMs competing for CPU scheduling time slices. For VMs running network tasks, even if the BOOST mechanism is used to temporarily increase their priority, there will still be a relatively large number of VMs. Large communication delays, which in turn lead to serious throughput reduction and greatly increased jitter

On the other hand, if the BOOST mechanism is frequently used for network communication events, it will greatly reduce the fairness of using virtual computing resources for other computing tasks

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