Self-adaptive resource optimization adjustment system and method for SBS (Service-based System) cloud application

Abstract

The invention provides a self-adaptive resource optimization adjustment system and method for an SBS (Service-based System) cloud application. The system comprises a rule generation unit, a monitoring unit, a triggering unit, a dynamic decision making unit and a scheme performance unit. The method comprises the steps of generating a self-adaptive resource optimization adjustment rule; obtaining operation state information of the SBS cloud application and the operation state information of a cloud environment online in real time; and carrying out self-adaptive resource optimization adjustment rule online triggering judgment on the SBS cloud application, determining a triggered self-adaptive resource optimization adjustment rule, generating a group of self-adaptive resource optimization adjustment actions, deciding a self-adaptive resource optimization adjustment scheme, and carrying out the self-adaptive resource optimization adjustment for the SBS cloud application. According to the system and method, on the basis of an SLA signed by an SBS cloud application provider and a cloud environment provider, resources occupied by the SBS cloud application are adjusted, the performance of the SBS cloud application is ensured, and the resource adjustment cost is minimized.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to an SBS cloud application self-adaptive resource optimization adjustment system and method. Background technique [0002] At present, many cloud computing platforms (Amazon EC2, Microsoft Azure, rackspace, Alibaba Cloud, etc.) provide the application systems deployed on them with the ability to optimize the performance of cloud application systems through resource adjustment, which makes cloud application systems more effective. It responds to the real-time changes of the cloud environment and user requests, and provides more effective support for the performance guarantee of the cloud application system. [0003] With the widespread application of service-based systems (Service-based System, SBS), more and more service providers choose to deploy SBS in the cloud environment, usually by deploying specific component services to multiple virtual machines. Machine (Virtual M...

AI Technical Summary

Problems solved by technology

When the existing methods are directly applied to SBS, the following situations may occur: the performance of a certain component service is very good after optimization, but the performance of the overall system has not been significantly improved; or all component services are adjusted, although the overall system performance improved, but at a higher resource cost

[0005] In addition, the usage status of resources in the cloud environment changes dynamically. How many resources (such as CPU, memory, etc.) Adaptive adjustment, it is very likely that the adaptive adjustment cannot be performed, and the expected optimization goal cannot be achieved, etc.

For example the predefined adaptive adjustment is given to the component S 1 Add 300M memory, if S 1 When the remaining memory of the physical machine is less than 300M, the adaptive adjustment cannot be performed; if S 1 It is necessary to increase the memory by 500M to make the response time of the system meet the requirements of SLA, then the adaptive adjustment cannot achieve the expected optimization goal

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