Virtual machine coexisting scheduling method based on processor performance monitoring

A scheduling method and virtual machine technology, applied in various digital computer combinations, program control devices, software simulation/interpretation/simulation, etc., can solve the problem of high implementation cost

Active Publication Date: 2014-07-30
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
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In the second method, the hardware logic of the shared cache

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  • Virtual machine coexisting scheduling method based on processor performance monitoring
  • Virtual machine coexisting scheduling method based on processor performance monitoring
  • Virtual machine coexisting scheduling method based on processor performance monitoring

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Embodiment Construction

[0061] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0062] The virtual machine symbiotic scheduling method based on processor performance monitoring in this embodiment is applied to such as figure 1 The virtual computer system based on multi-core physical server is shown. The multi-core physical server in the virtual computer system is a quad-core physical server, which has 2 memories and 2 shared caches, namely a first shared cache and a second shared cache. The first shared cache and the second shared cache communicate through a high-speed interconnection technology. The shared cache is connected to the corresponding memory through a memory controller. Each core is a physical CPU in this embodiment, and the four cores are respectively C0, C1, C2, and C3, wherein C0 and C1 run on the first shared cache, and C2 and C3 run on the second shared cache. High-speed interconnection between different shared cach...

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Abstract

The invention discloses a virtual machine coexisting scheduling method based on processor performance monitoring. The virtual machine coexisting scheduling method comprises the following steps: based on performance events provided by a hardware processor performance monitoring unit and based on pressure values and tolerance degrees of VCPUs (Virtual Central Processing Units) running on a multi-core physical server, calculating to obtain the pressure coefficients and tolerance coefficients of the VCPUs, determining a VPCU to be moved out from high-load physical CPUs (Central Processing Units) according to the pressure coefficients and the tolerance coefficients, and through coexisting coefficient prediction, moving the VCPU to be moved out to a physical CPU with a minimum coexisting coefficient. When the virtual machine coexisting scheduling method disclosed by the invention is used for predicting the performance of the VCPU coexisting combination, VCPU coexisting coefficients are introduced to represent the performance of different VCPU coexisting combinations, a coexisting coefficient prediction method based on the VCPU coexisting combinations is provided, favorable decision information is provided for virtual machine scheduling, a virtual machine in match with the use situation of a shared cache is scheduled to the same CPU of the shared cache for execution, and the purpose of improving the operation efficiency of the virtual machine is achieved.

Description

technical field [0001] The invention relates to the technical field of virtual machines, in particular to a virtual machine symbiotic scheduling method based on processor performance monitoring. Background technique [0002] System virtualization technology is one of the basic core technologies in cloud computing applications. In the current cloud computing data center, most applications are deployed in virtual machines, and the virtual machines run on physical servers with commercial multi-core architecture. The use of system virtualization technology enables different applications to run in their own virtual machines, which greatly facilitates the deployment and management of application services, ensures the isolation and security between applications, and improves the The overall operational efficiency of the data center. However, the existing virtualization technology cannot well solve the problem of resource competition when multiple virtual machines share the underl...

Claims

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Application Information

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IPC IPC(8): G06F9/455G06F9/50G06F15/16
Inventor 陈文智程雨夏王总辉俞新杰金睿
Owner ZHEJIANG UNIV
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