Cloud-based software services delivery from the perspective of scalability

被引:1
|
作者
Al-Said Ahmad A. [1 ]
Andras P. [1 ]
机构
[1] School of Computing and Mathematics, Keele University, Newcastle-under-Lyme
关键词
Measurement; metrics; performance; scalability; Software-as-a-Service (SaaS); testing;
D O I
10.1080/17445760.2019.1617864
中图分类号
学科分类号
摘要
Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. There are three interconnected Cloud-based software services’ performance aspects; both elasticity and efficiency are depending on the delivery of a sufficient level of scalability performance. In this work, we focused on testing and measuring the cloud-based software services scalability from a technical perspective. This paper uses technical scalability metrics that address both volume and quality scaling, inspired by earlier technical metrics of elasticity. We demonstrate the application of the metrics using a practical example and three demand scenarios and discuss the importance of these metrics. We show how our technical scalability metrics integrated into an earlier utility-oriented metric of scalability, in order to enable the scalability analysis from technical and production-driven perspectives. This work is related to the delivery of cloud-based software services from scalability perspective. We demonstrate our metrics by testing a cloud-based software service connecting with both AWS auto-scaling and load-balancing services. Measurements have been collected and analysis, and then been used to calculate the values of our scalability metrics. © 2019 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码:53 / 68
页数:15
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