Virtualized resource scheduling method and system

Abstract

The invention discloses a virtualized resource scheduling method and a system. A request from an external management user is received, or a scheduling request is triggered according to a preset strategy; according to the resource requirement information of a virtual machine and a physical server in the current system, a virtualized resource scheduling scheme is calculated and obtained; according to physical server resource flowing information contained in the received resource scheduling scheme, the resource of the relevant physical server is scheduled; according to the volume information contained in the virtualized resource scheduling scheme, the resource channel of the volume is built with the corresponding physical server; and scheduling resource is obtained from a mapping physical server to provide scheduled virtual resource for an external business entity. According to the virtualized resource scheduling method and the system, the resource scheduling efficiency can be improved, and the resource can be optimally scheduled in the whole situation.

Description

technical field [0001] The invention relates to a virtualized resource scheduling technology, in particular to a virtualized resource scheduling method and a virtualized resource scheduling system. Background technique [0002] Since Amazon launched the Elastic Compute Cloud (EC2, Elastic Compute Cloud) platform in 2006 and achieved great success, the industry has set off a wave of shared data center infrastructure based on virtualized elastic resource pools, internal integration (private cloud) shared resources Or a whirlwind of research on a new business model for external leasing services (public cloud in the IaaS model). [0003] The combination of virtualization technology and elastic computing cloud platform has brought about a new resource integration and usage model, among which, the on-demand allocation and dynamic flow of resources are crucial to improving the utilization of elastic computing cloud platform resources and improving the service quality of elastic com...

AI Technical Summary

Problems solved by technology

However, in this virtual machine migration scheduling method, the virtual machine is used as the scheduling unit, and the granularity of the scheduling unit is relatively coarse. For example, resources that are less than one scheduling unit do not participate in the scheduling, so that the scheduling efficiency is low, and the resources cannot be effectively optimally scheduled globally. ; Moreover, each resource scheduling may need to re-schedule the original scheduled resources. The scheduling is more complicated, which makes the types of resources involved in a single scheduling complicated. For example, it needs to involve comprehensive resources such as CPU resources, memory resources, and disk resources. decision-making, and is limited by many conditions such as the specific configuration of physical server resources, its optimal scheduling problem cannot be directly modeled as a continuous programming problem; furthermore, the above-mentioned existing technologies all adopt static design ideas, and do not consider the resource pool construction and operation life as a whole. The impact of dynamic variable factors such as resource allocation and business deployment schemes in the cycle, and business load pressure on the scheduling effect

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