Resource adjusting method and device of application service system

Abstract

The invention discloses a resource adjusting method and device of an application service system. The method comprises, according to the parameter values of reserved resources which are collected in real time or periodically, determining whether to perform dilatation or shrinking adjustment; based on resource adjusting schemes in two directions, including a longitudinal resource adjusting scheme for increasing or reducing the resources on the basis of the inside of virtual machine systems and a transverse resource adjusting scheme for increasing or reducing the number of the virtual machine systems on the basis of application templates, preferably selecting a longitudinal dilatation direction during the dilatation, and preferably selecting a transverse reduction method during the reduction; according to a finally-determined increase or reduction direction, adjusting the resources of the application service system. According to the resource adjusting method and device of the application service system, resource allocation can be diversified in granularity, actual requirements and resource saving principles can be better met, and accordingly the resource utilization rate can be improved.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a resource adjustment method and device for an application service system. Background technique [0002] In the deployment architecture of traditional "chimney IT" basic resources, applications and specialized resources are usually bundled together. In order to meet a small amount or short-term peak load, computing resources are often over-allocated, resulting in low resource utilization. In data centers deployed according to traditional configuration methods, the average utilization rate of IT resources is seriously insufficient. [0003] As a brand-new business model, cloud computing allows users to use various resources of the cloud computing center on demand through various forms of terminals based on the Internet, including computing and storage resources, platform services and other application services. The cloud computing center needs to respond promptly and quickly...

AI Technical Summary

Problems solved by technology

However, this solution has two limitations. One is that if there are too many reserved resources in the cluster, resources will be wasted; if the reserved resources are insufficient, the expansion capability will be limited.

The second is that the solution is limited by some specific service requirements, such as virtual machine affinity and anti-affinity rules, that is, virtual machines running certain application service systems can only reside on the same host or cannot reside on the same host. On the host, in this case, it is still only through manual analysis, and manual resource adjustments to meet the needs of changes in application load

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