T/IQA 13-2021 Intelligent microservice adaptation performance evaluation index system
T/IQA 13-2021 Intelligent microservice adaptation performance evaluation index system
Basic Information
Scope
Scope: This document specifies an evaluation index system for the adaptive performance of intelligent microservices, including evaluation indices for individual intelligent microservices, multiple intelligent microservices adaptation evaluation indices, and evaluation indices related to security and economy. This document is applicable to service providers and operators who offer intelligent microservice adaptation services, and can be used as a basis for evaluating the adaptive performance of intelligent microservices during selection and acceptance. Main technical content: This document specifies a reference model for evaluating the adaptive performance of intelligent services, an evaluation index system, and a method for constructing an evaluation model. It is suitable for service providers and operators who offer intelligent service adaptation services, and can be used as a basis for evaluating the adaptive performance of intelligent services during selection and acceptance. The main technical approach is to deconstruct and analyze intelligent service adaptation. Based on the characteristics of QoS attributes, the quality evaluation of coupling and interconnectivity between services and dynamic matching is divided into intelligent service performance evaluation indices, intelligent service adaptation evaluation indices, intelligent service adaptation resource occupancy evaluation indices, intelligent service adaptation security indices, and intelligent service adaptation economy indices. This document evaluates based on a service portrait model, studies the resource limits, affinity, and data locality of adaptation in new service scenarios such as microservices, serverless, and edge computing, and establishes a unified standard for adaptive performance evaluation. It comprehensively evaluates adaptation solutions based on service portraits to ensure the consistency and stability of evaluation results.