The QoS evaluation model for cloud resource node
by Dan Liu; Leilei Zhu; Zetian Zhang; Yan Zeng; Zhengqi Bai; Li Li
International Journal of Sensor Networks (IJSNET), Vol. 36, No. 4, 2021

Abstract: The service quality of resource nodes in a cloud service system can reflect the capability of the system in providing users with services. In this paper, we focus on the evaluation of cloud service quality to build Cloud_MQOSF, a cloud service quality of service (QoS) evaluation framework with availability, reliability, service performance, and scalability as the evaluation indexes. This architecture can rapidly and stably evaluate quantitatively the service capabilities of resource nodes in a cloud service system. Several sets of experiments are carried out using the operational data of a well-known cloud service provider and the quality of web service dataset. The experimental results show that the model not only effectively evaluates the quality of service of resource nodes in a data center, but is also fast and stable. This provides a favourable basis for resource allocation in the cloud.

Online publication date: Wed, 08-Sep-2021

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