Measuring the Scalability of Cloud-based Software Services

被引：4

作者：

Ahmad, Amro Al-Said ^{[1
]}

Andras, Peter ^{[1
]}

机构：

[1] Keele Univ, Sch Comp & Math, Keele, Staffs, England

来源：

2018 IEEE WORLD CONGRESS ON SERVICES (IEEE SERVICES 2018) | 2018年

关键词：

measurement; performance; scalability; Software-as-a-Service (SaaS); metrics;

D O I：

10.1109/SERVICES.2018.00016

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Measuring and testing the performance of cloud-based software services is critically important in the context of rapid growth of cloud computing. Scalability, elasticity and efficiency are interrelated aspects of performance of cloud-based software services. Here we present a work that is focused on measuring the scalability of cloud-based software services in technical terms. We introduce technical scalability metrics inspired by earlier technical metrics of elasticity.

引用

页码：5 / 6

页数：2

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