A virtual machine management method and device

Abstract

An embodiment of the invention provides a virtual machine management method and a virtual machine management device and relates to the technical field of communication. The method includes acquiring user behavior data generated when a virtual unit of a target network element runs in a first time period, wherein the user behavior data are used for indicating traffic information generated during communication between a client side and the target network element; extracting characteristic information affecting the VM (virtual machine) number in the virtual unit; predicting the required target VM number when the target network element runs in the target time period (namely any time period after the user behavior data are acquired); enabling an MANO to adjust the VM number in the virtual unit according to the target VM number when the target time period comes. The virtual machine management method is capable of increasing use ratio of virtual resources.

Description

technical field [0001] Embodiments of the present invention relate to the field of communication technologies, and in particular, to a virtual machine management method and device. Background technique [0002] In the NFV (Network Functions Virtualization, network function virtualization) system, corresponding virtual resources can be allocated to each network element in the network, and cloud technology can be used to make each network element run on one or more virtual machines (VM, On the Virtual Machine), the one or more VMs may be called a virtual group of the network element. [0003] Exemplary, such as figure 1 As shown, various services of network element 1 run on the virtual group of network element 1, and the MANO (Management and Orchestration, management and orchestration device) in the NFV system can set the expansion threshold and shrinkage threshold for network element 1 (shrinkage The threshold is smaller than the expansion threshold), and when the load valu...

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Problems solved by technology

[0004] However, when MANO configures the expansion threshold and capacity reduction threshold for network element 1, the operator usually inputs fixed expansion thresholds and capacity reduction thresholds to MANO based on actual experience, that is, the set expansion threshold and capacity reduction threshold are a fixed experience. value, and the expansion threshold (or capacity reduction threshold) set by experience is not suitable for all application scenarios. For example, for network element 1, the number of users connected to network element When the load value of element 1 is lower than 30% (that is, the shrinkage threshold is 30%), the capacity reduction operation can be triggered. However, at night, the fluctuation of the number of users connected to network element 1 is relatively small, and the number of users is relatively small. The capacity reduction operation can be performed when the load value of network element 1 is lower than 50%. At this time, if the capacity reduction threshold is still set to 30%, the capacity reduction operation will be triggered only when the load value of network element 1 is lower than 30%. As a result, part of the virtual resources of the network element 1 is wasted, and the on-demand application and release of virtual resources cannot be fully realized

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